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(Veille tech 2026-09-08: date 13 entries)
(Retrait doublons entre Nouveautés/Assistants IA, suppression dépendances API externes, réduction backlog de ~170 à ~40 items)
 
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{| class="wikitable"
{| class="wikitable"
! Couche !! Modèle !! Alias(s) !! Notes
! Couche !! Modèle !! Alias(s) !! Taille
|-
|-
| rowspan="6" style="text-align:center; vertical-align:middle; background:#f0f0f0;"| '''HYBRID-CLOUD'''
| rowspan="7" style="text-align:center; vertical-align:middle; background:#f0f0f0;"| '''HYBRID-CLOUD'''
| '''Qwen3.X-XXB''' || flash, default, thinking, vision, org || 35B MoE — Option 1
| '''Qwen3.6-35B''' || flash, default, thinking, vision || Option 135B MoE / 3B actif
|-
|-
| '''Qwen3.8-Flash-Next''' || flash, default, thinking, org, max, vision || 125B MoE — Option 2
| '''Qwen3.8-Flash-Next''' || flash, default, thinking, vision, max || Option 2125B MoE, 51B n-grames internes, 6B actif, 1M contexte
|-
|-
| '''MiniMax-H3''' || video || 33B
| '''MiniMax-H3''' || video || 33B dense
|-
|-
| '''BGE-M3''' || embedding || 568M
| '''BGE-M3''' || embedding || 568M
Line 139: Line 139:
| '''BGE-reranker-v2-m3''' || reranker || 568M
| '''BGE-reranker-v2-m3''' || reranker || 568M
|-
|-
| '''FLUX.2-klein-4B''' || Image || 4B
| '''FLUX.2-klein-4B''' || image || 4B
|-
| '''GLiNER2.5-Multi-V1''' || privacy || 287M, mDeBERTa-v3-base — privacy filter: [https://api-llm-privacy-proxy-gliner2.infocepo.com api-llm-privacy-proxy-gliner2]
|-
| '''Public-Cloud''' || '''GLM-5.3-Flash''' || max || 320B MoE / 18B actif — 1M contexte, multimodal
|-
|-
| rowspan="2" style="text-align:center; vertical-align:middle; background:#f0f0f0;"| '''LOCAL'''
| rowspan="2" style="text-align:center; vertical-align:middle; background:#f0f0f0;"| '''LOCAL'''
| '''Ornith-1.5-9B''' || flash, default, thinking, vision, org || 9B — Option 1
| '''Qwen3.5-9B''' || flash, default, thinking, vision || Option 1 9B dense
|-
|-
| '''Qwen3.8-27B''' || flash, default, thinking, vision, org, max || 27.8B — Option 2
| '''Qwen3.8-27B''' || flash, default, thinking, vision, max || Option 2 27B dense
|}
|}


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= Nouveautés =
= Nouveautés =


== Nouveautés implémentés 12/08/2026 ==
== Nouveautés implémentés ==


* [https://github.com/ynotopec/api-txt2image '''api-txt2image'''] (2026-08-29) : Text-to-image generation API for AI-powered image creation
* [https://github.com/ynotopec/tricoteuses-k8s '''tricoteuses-k8s'''] (2026-09-08) : Kubernetes deployment for tricoteuses-juridique
* [https://github.com/ynotopec/dind-build '''dind-build'''] (2026-08-29) : Docker-in-Docker build factory on Kubernetes — build, push, pull via K8s DinD pod
* [https://github.com/ynotopec/dashboard-superset-mcp '''dashboard-superset-mcp'''] (2026-09-07) : Automate Apache Superset dashboard creation via MCP server 6.1.0+
* [https://github.com/ynotopec/quality-gate '''quality-gate'''] (2026-08-28) : Quality gate auto - auto-scoring, detection hallucination, verification citations, fix patterns regex
* [https://github.com/ynotopec/api-txt2image '''api-txt2image'''] (2026-09-02) : Text-to-image generation API for AI-powered image creation
* [https://github.com/ynotopec/omnivoice-tts '''omnivoice-tts'''] (2026-09-01) : omnivoice-tts
* [https://github.com/ynotopec/superset-k8s '''superset-k8s'''] (2026-09-01) : superset-k8s
* [https://github.com/ynotopec/dind-build '''dind-build'''] (2026-08-31) : Docker-in-Docker build factory on Kubernetes — build, push, pull via K8s DinD pod
* [https://github.com/ynotopec/quality-gate '''quality-gate'''] (2026-08-28) : quality-gate
* [https://github.com/ynotopec/agent-saas '''agent-saas'''] (2026-08-27) : SaaS AI agent platform — deploy autonomous AI agents as a service
* [https://github.com/ynotopec/agent-saas '''agent-saas'''] (2026-08-27) : SaaS AI agent platform — deploy autonomous AI agents as a service
* [https://github.com/ynotopec/api-convert2md '''api-convert2md'''] (2026-08-26) : Document-to-Markdown conversion API — clean markdown from various formats
* [https://github.com/ynotopec/api-convert2md '''api-convert2md'''] (2026-08-26) : Document-to-Markdown conversion API — clean markdown from various formats
* [https://github.com/ynotopec/qwen36-sglang '''qwen36-sglang'''] (2026-08-24) : Qwen 3.6 deployment with SGLang for high-performance inference
* [https://github.com/ynotopec/qwen36-sglang '''qwen36-sglang'''] (2026-08-24) : Qwen 3.6 deployment with SGLang for high-performance inference
* [https://github.com/ynotopec/trafilatura-local '''trafilatura-local'''] (2026-08-23) : Initial: service extraction trafilatura-local (clean)
* [https://github.com/ynotopec/trafilatura-local '''trafilatura-local'''] (2026-08-23) : trafilatura-local
* [https://github.com/ynotopec/api-rag '''api-rag'''] (2026-08-19) : RAG API — semantic search over knowledge bases with retrieval-augmented generation
* [https://github.com/ynotopec/api-rag '''api-rag'''] (2026-08-19) : RAG API — semantic search over knowledge bases with retrieval-augmented generation
* [https://github.com/ynotopec/models-todo '''models-todo'''] (2026-08-19) : HuggingFace Model Tracker Dashboard - generate_top100_dow.py + deploy
* [https://github.com/ynotopec/models-todo '''models-todo'''] (2026-08-19) : models-todo
* [https://github.com/ynotopec/minimax-music3 '''minimax-music3'''] (2026-08-18) : Initial: studio generation musique IA MiniMax-Music3
* [https://github.com/ynotopec/minimax-music3 '''minimax-music3'''] (2026-08-18) : minimax-music3
* [https://github.com/ynotopec/hermes-img-gen-infocepo '''hermes-img-gen-infocepo'''] (2026-08-15) : Plugin Hermes Image Gen pour API TXT2IMAGE infocepo
* [https://github.com/ynotopec/hermes-img-gen-infocepo '''hermes-img-gen-infocepo'''] (2026-08-15) : hermes-img-gen-infocepo
* [https://github.com/ynotopec/ask-multiple-pdfs '''ask-multiple-pdfs'''] (2026-08-14) : A Langchain app that allows you to chat with multiple PDFs
* [https://github.com/ynotopec/openclaw-install '''openclaw-install'''] (2026-08-14) : OpenClaw installer — setup script for OpenClaw AI assistant deployment
* [https://github.com/ynotopec/api-llm-custom '''api-llm-custom'''] (2026-08-13) : Custom LLM proxy API — route requests to any language model backend
* [https://github.com/ynotopec/api-llm-custom '''api-llm-custom'''] (2026-08-13) : Custom LLM proxy API — route requests to any language model backend
* [https://github.com/ynotopec/infocepo-infra-mcp '''infocepo-infra-mcp'''] (2026-08-12) : Fix wiki cache permission failures (PR #7)
* [https://github.com/ynotopec/infocepo-infra-mcp '''infocepo-infra-mcp'''] (2026-08-12) : infocepo-infra-mcp
* [https://github.com/ynotopec/api-mcp-openai '''api-mcp-openai'''] (2026-08-11) : AI MCP OpenAI Integration — Selection port libre, simplification setup (PR #2)
* [https://github.com/ynotopec/api-mcp-openai '''api-mcp-openai'''] (2026-08-11) : AI MCP OpenAI Integration
* [https://github.com/ynotopec/api-embedding '''api-embedding'''] (2026-08-07) : Text embedding API — convert text to vector embeddings for semantic search (PR #7)
* [https://github.com/ynotopec/api-embedding '''api-embedding'''] (2026-08-07) : Text embedding API — convert text to vector embeddings for semantic search
* [https://github.com/ynotopec/api-reranker '''api-reranker'''] (2026-08-06) : Cross-encoder reranking API for improving search retrieval quality (PR #2)
* [https://github.com/ynotopec/api-reranker '''api-reranker'''] (2026-08-06) : Cross-encoder reranking API for improving search retrieval quality
* [https://github.com/ynotopec/nemotron-embed '''nemotron-embed'''] (2026-07-31) : nemotron-embed
* [https://github.com/ynotopec/coder-brain '''coder-brain'''] (2026-07-28) : AI-powered code analysis and generation engine
* [https://github.com/ynotopec/translate-rt '''translate-rt'''] (2026-07-28) : Real-time translation API — multilingual translation with low latency
* [https://github.com/ynotopec/qwen3.5-fp8-vllm '''qwen3.5-fp8-vllm'''] (2026-07-27) : Qwen 3.5 FP8 vLLM model deployment
* [https://github.com/ynotopec/ai-assistant '''ai-assistant'''] (2026-07-17) : General-purpose AI assistant with task execution capabilities
* [https://github.com/ynotopec/ai-security '''ai-security'''] (2026-07-17) : AI security tools — audit and harden LLM deployments against common attacks
* [https://github.com/ynotopec/api-audio2txt '''api-audio2txt'''] (2026-07-17) : Fast audio-to-text transcription API with real-time Whisper model support
* [https://github.com/ynotopec/api-audio2txt-gemma4 '''api-audio2txt-gemma4'''] (2026-07-17) : Gemma 4-powered audio transcription API for speech-to-text conversion
* [https://github.com/ynotopec/api-audio2txt-qwen3 '''api-audio2txt-qwen3'''] (2026-07-17) : Qwen 3-based audio transcription API leveraging advanced language model capabilities
* [https://github.com/ynotopec/api-diarization '''api-diarization'''] (2026-07-17) : Speaker diarization API — identifies and separates multiple speakers in audio streams
* [https://github.com/ynotopec/api-image '''api-image'''] (2026-07-17) : Image processing API — resize, convert, analyze, and transform images
* [https://github.com/ynotopec/api-lightrag '''api-lightrag'''] (2026-07-17) : Lightweight RAG (Retrieval-Augmented Generation) API for document-based Q&A
* [https://github.com/ynotopec/api-llm-privacy-proxy '''api-llm-privacy-proxy'''] (2026-07-17) : LLM privacy proxy — filter secrets and sensitive data from API calls
* [https://github.com/ynotopec/api-llm-privacy-proxy-gliner2 '''api-llm-privacy-proxy-gliner2'''] (2026-07-17) : GLiNER2-powered LLM privacy proxy for named entity detection and filtering
* [https://github.com/ynotopec/api-llm-privacy-proxy-openmed '''api-llm-privacy-proxy-openmed'''] (2026-07-17) : OpenMED-powered LLM privacy proxy for medical text privacy filtering
* [https://github.com/ynotopec/api-ocr '''api-ocr'''] (2026-07-17) : Document OCR API — extract text, tables, and structure from scanned documents
* [https://github.com/ynotopec/api-realtime-ai '''api-realtime-ai'''] (2026-07-17) : Real-time AI inference API with low-latency streaming responses
* [https://github.com/ynotopec/api-tts-omnivoice '''api-tts-omnivoice'''] (2026-07-17) : Text-to-speech API powered by OmniVoice for natural voice synthesis
* [https://github.com/ynotopec/api-txt2audio '''api-txt2audio'''] (2026-07-17) : Text-to-audio generation API for converting text content to audio output
* [https://github.com/ynotopec/artificial-human '''artificial-human'''] (2026-07-17) : Artificial human simulation — explore the boundary between human and AI behavior
* [https://github.com/ynotopec/audio2txt '''audio2txt'''] (2026-07-17) : audio2txt
* [https://github.com/ynotopec/common-good-accelerator '''common-good-accelerator'''] (2026-07-17) : Platform for accelerating common good and social impact initiatives
* [https://github.com/ynotopec/dgx-memory-fix '''dgx-memory-fix'''] (2026-07-17) : NVIDIA DGX memory management — diagnose and fix memory leaks on GPU systems
* [https://github.com/ynotopec/diff-multi '''diff-multi'''] (2026-07-17) : Multi-format diff tool — compare files, directories, and structured data
* [https://github.com/ynotopec/docker2rootless '''docker2rootless'''] (2026-07-17) : docker2rootless
* [https://github.com/ynotopec/evaluate-my-code '''evaluate-my-code'''] (2026-07-17) : Code evaluation and quality assessment tool — automated peer review
* [https://github.com/ynotopec/github-k8s-example '''github-k8s-example'''] (2026-07-17) : Kubernetes deployment example for GitHub Actions CI/CD pipelines
* [https://github.com/ynotopec/k8s-internet-infrastructure '''k8s-internet-infrastructure'''] (2026-07-17) : Internet infrastructure on Kubernetes — DNS, networking, and routing
* [https://github.com/ynotopec/langextract-demo '''langextract-demo'''] (2026-07-17) : Demo application showcasing langextract for LLM output extraction
* [https://github.com/ynotopec/langfuse-k8s '''langfuse-k8s'''] (2026-07-17) : Langfuse observability deployment on Kubernetes for LLM tracing and monitoring
* [https://github.com/ynotopec/legal-agent '''legal-agent'''] (2026-07-17) : Legal AI agent — assist with legal document analysis and research
* [https://github.com/ynotopec/litellm-proxy '''litellm-proxy'''] (2026-07-17) : LiteLLM proxy — unified API interface for multiple LLM providers
* [https://github.com/ynotopec/llmbench '''llmbench'''] (2026-07-17) : LLM benchmarking suite — measure and compare language model performance
* [https://github.com/ynotopec/mail-search '''mail-search'''] (2026-07-17) : Email search tool — query and analyze inbox contents
* [https://github.com/ynotopec/mediawiki-migrate '''mediawiki-migrate'''] (2026-07-17) : MediaWiki migration tool — migrate and sync wiki content between platforms
* [https://github.com/ynotopec/opencode-demo '''opencode-demo'''] (2026-07-17) : OpenCode CLI demo — open-source alternative for AI-assisted coding
* [https://github.com/ynotopec/realtime-transcription '''realtime-transcription'''] (2026-07-17) : Real-time audio transcription service — live speech-to-text
* [https://github.com/ynotopec/vpn-network '''vpn-network'''] (2026-07-17) : VPN network configuration — secure remote access and networking


----
----


= Priorités =
= Priorités =


 
=== Top tasks ===
== Top tasks ==
* [https://github.com/microsoft/markitdown '''markitdown'''] (2026-09-11) : Conversion fichiers et documents bureautiques vers Markdown — pipeline de données pour pipelines IA. (182k⭐, 4.5k/semaine)
* Ajouter [https://github.com/microsoft/presidio '''Presidio'''] : anonymisation / masquage PII, socle RGPD.
* [https://github.com/ayghri/i-have-adhd '''i-have-adhd'''] (2026-09-11) : Agent skill pour sortie ADHD-friendly — formatage clair et direct des réponses d'agents IA. (38k⭐, 10k/semaine)
* Ajouter [https://github.com/llm-d/llm-d '''llm-d'''] : blueprints + charts Kubernetes pour industrialiser les déploiements.
* [https://github.com/cathrynlavery/diagram-design '''diagram-design'''] (2026-09-11) : 38 types de diagrammes éditoriaux pour agents de codage (Claude, Codex, Pi). HTML + SVG auto-contenu. (37k⭐, 7k/semaine)
* Ajouter [https://github.com/ai-dynamo/dynamo '''Dynamo'''] : orchestration inférence multi-nœuds.
* [https://github.com/anthropics/skills '''skills'''] (2026-09-11) : Repository public officiel des compétences d'agents Anthropic. (175k⭐, 2.2k/semaine)
* Ajouter [https://github.com/vllm-project/guidellm '''GuideLLM'''] : capacity planning / benchmark réaliste.
* [https://github.com/microsoft/presidio '''Presidio'''] : anonymisation / masquage PII, socle RGPD obligatoire.
* Ajouter [https://github.com/NVIDIA-NeMo/Guardrails '''NeMo Guardrails'''] : garde-fous et politiques.
* [https://github.com/temporalio/temporal '''Temporal'''] : orchestration de workflows critiques et fiables.
* [https://github.com/diegosouzapw/OmniRoute '''OmniRoute'''] : passerelle IA unifiée, auto-fallback, compression de tokens.
* [https://github.com/NVIDIA-NeMo/Guardrails '''NeMo Guardrails'''] : garde-fous et politiques de sécurité IA.
* [https://github.com/langfuse/langfuse '''Langfuse'''] : observabilité, evals et metrics pour pipelines IA.
* [https://github.com/vllm-project/LMCache '''LMCache'''] : couche KV cache ultra-rapide, latence d'inférence réduite.
* [https://github.com/meshery/meshery '''Meshery'''] : gestion cloud native multi-cluster, observabilité.
* [https://github.com/VectifyAI/PageIndex '''PageIndex'''] : RAG vectorless à raisonnement, alternative aux embeddings.
* '''Coût unitaire par tâche''' : chaque API doit exposer son prix/ml/token en temps réel — pas une facture mensuelle.
* '''Coût unitaire par tâche''' : chaque API doit exposer son prix/ml/token en temps réel — pas une facture mensuelle.
* '''Qualité auto''' : précision/hallucination rate branchés sur les sorties IA, avec rollback automatique si qualité < seuil.
* '''Qualité auto''' : précision/hallucination rate branchés sur les sorties IA, avec rollback automatique si qualité < seuil.


== Backlog / Veille Technologique ==
=== Backlog / Veille Technologique ===


=== Agents IA & Orchestration ===
=== Agents IA & Orchestration ===
* [https://github.com/Zackriya-Solutions/meetily '''meetily''' ] — Assistant IA de reunion local avec transcription Parakeet/Whisper en direct, diarisation et resume Ollama. 100% local, aucun cloud.
* [https://github.com/langchain-ai/langchain '''LangChain'''] : Framework pour applications basées sur les LLM. Le plus mature. (145k⭐)
* [https://github.com/langflow-ai/langflow '''langflow''' (2026-09-08)          ] : Builder et déployer des agents IA et workflows. UI visuelle low-code (154,000⭐)
* [https://github.com/langgenius/dify '''Dify'''] : Plateforme de développement d'applications IA (LLM Ops). Déployable en self-host. (154k⭐)
* [https://github.com/wonderwhy-er/DesktopCommanderMCP '''DesktopCommanderMCP''' ] — Serveur MCP pour Claude : controle terminal, recherche fichiers et edition de diffs.
* [https://github.com/browser-use/browser-use '''browser-use'''] : Framework pour contrôler les navigateurs via des agents IA. (112k⭐)
* [https://github.com/openai/codex-plugin-cc '''codex-plugin-cc''' ] — Utiliser Codex depuis Claude Code pour reviewer du code ou deleguer des taches.
* [https://github.com/vllm-project/vllm '''vllm'''] : Moteur d'inférence haute performance pour LLMs. (91k⭐)
* [https://github.com/TencentCloud/CubeSandbox '''CubeSandbox''' ] — Sandbox instantanee, concurrente, securisee et leger pour agents IA.
* [https://github.com/open-webui/open-webui '''open-webui'''] : Interface web IA (Ollama, OpenAI API, MCP). (151k⭐)
* [https://github.com/ogulcancelik/herdr '''herdr''' ] — Multiplexeur d'agents qui vit dans votre terminal.
* [https://github.com/ollama/ollama '''ollama'''] : Get up and running with Kimi-K2.6, GLM-5.2, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. (180k⭐)
* [https://github.com/bradautomates/claude-video '''claude-video''' ] — Donner a Claude la capacite de regarder des vidéos : download, extraction frames, transcription.
* [https://github.com/n8n-io/n8n '''n8n'''] : Fair-code workflow automation with native AI. 400+ intégrations. (203k⭐)
* [https://github.com/iOfficeAI/OfficeCLI '''OfficeCLI''' ] — Suite Office construite pour agents IA : lire, modifier, automatiser Word, Excel, PowerPoint en binaire unique.
* [https://github.com/milvus-io/milvus '''milvus'''] : Base de données vectorielle haute performance. (46k⭐)
* [https://github.com/tt-a1i/archify '''archify''' ] — Skill agent : generer de beaux diagrammes d'architecture avec export PNG/JPEG/WebP/SVG.
* [https://github.com/qdrant/qdrant '''qdrant'''] : Vector database haute performance. (34k⭐)
* [https://github.com/alirezarezvani/claude-skills '''claude-skills''' ] — 345 skills et plugins pour agents de codage (30+ agents, 70+ commandes, 330+ skills) pour Claude Code, Codex, Gemini CLI, Cursor, et 8+.
* [https://github.com/minimax-ai/Minimax-Text-01 '''Minimax-Text-01'''] : Modèle LLM open-source Minimax.
* [https://github.com/ChromeDevTools/chrome-devtools-mcp '''chrome-devtools-mcp''' ] — Chrome DevTools pour agents de codage via MCP.
* [https://github.com/langchain-ai/langgraph '''langgraph'''] : Build resilient agents with LangChain. (41k⭐)
* [https://github.com/paperclipai/paperclip Paperclip] — Orchestrateur open-source pour coordonner et superviser une équipe d'agents IA autonomes
* [https://github.com/run-llama/llama_index '''llama_index'''] : LlamaIndex is the leading document agent and OCR platform (52k⭐)
* [https://github.com/openclaw/openclaw OpenClaw]
* [https://github.com/mudler/LocalAI '''LocalAI'''] : LocalAI is the open-source AI engine. Run any model on any hardware. (49k⭐)
* [https://github.com/colbymchenry/codegraph '''codegraph''' ] — Indexation locale des graphes de code pour agents (Hermes, Claude, Codex sync auto).
* [https://github.com/NVIDIA-SuperSonicInference/SuperSonic '''SuperSonic'''] : SuperSonic by NVIDIA — Super fast inference engine.
* [https://github.com/Egonex-AI/Understand-Anything '''Understand-Anything''' ] — Transforme tout code en graphe de connaissances interactif explorable et questionnable.
* [https://github.com/sgl-project/sglang '''sglang'''] : SGLang is a high-performance serving framework for large language models. (36k⭐)
* [https://github.com/All-Hands-AI/OpenHands OpenHands] — Agent IA autonome pour le développement logiciel
* [https://github.com/withastro/flue '''flue''' ] — Framework sandbox pour agents IA : isolation et exécution sécurisée.
* [https://github.com/langgenius/dify Dify] — Plateforme de développement d'applications IA (LLM Ops)
* [https://github.com/nousresearch/hermes-agent '''hermes-agent'''] : The agent that grows with you (243k⭐)
* [https://github.com/browser-use/browser-use browser-use] — Framework pour contrôler les navigateurs via des agents IA
* [https://github.com/langchain-ai/langchain LangChain] — Framework pour applications basées sur les LLM
* [https://github.com/FlowiseAI/Flowise FlowiseAI] — Build LLM apps visually
* [https://github.com/RasaHQ/rasa '''Rasa'''] — Framework open-source pour chatbots et assistants vocaux
* [https://github.com/DeusData/codebase-memory-mcp '''codebase-memory-mcp''' ] - Serveur MCP haute performance pour l'indexation de codebases en graphe de connaissances persistant.
* [https://github.com/Panniantong/Agent-Reach '''Agent-Reach''' ] - Donnez des yeux a vos agents IA pour naviguer le web entier (Twitter, Reddit, YouTube, GitHub) en CLI, sans frais API.
* [https://github.com/NVIDIA/SkillSpector '''SkillSpector''' ] - Scanner de securite pour les competences d'agents IA : detecte vulnerabilites, patterns malveillants et risques.
* [https://github.com/withastro/flue '''flue''' ] - Framework sandbox pour agents IA -- isolation et execution securisee de plugins/agents.
* [https://github.com/addyosmani/agent-skills '''agent-skills''' ] - Skills d'ingenierie de qualite production pour les agents de codage IA (Claude, Cursor, etc.).


* [https://github.com/bytedance/deer-flow '''deer-flow''' ] - SuperAgent open-source a horizon long : recherche, codage et creation avec sandboxes, memoires, outils, sous-agents et passerelle de messages.
* [https://github.com/stablyai/orca '''Orca''' ] - ADE pour travailler avec une flotte d'agents paralleles. Lancez n'importe quel agent de codage avec votre propre abonnement, disponible sur desktop et mobile.
* [https://github.com/aws/agent-toolkit-for-aws '''agent-toolkit-for-aws''' ] - Serveurs MCP, competences et plugins officiels supports par AWS pour aider les agents IA a construire sur AWS.
* [https://github.com/topoteretes/cognee '''cognee''' ] - Plateforme de memoire IA open-source pour agents. Offrez a vos agents une memoire a long terme persistante via un moteur de graphe de connaissances auto-hebergt.
* [https://github.com/alibaba/page-agent '''page-agent''' ] - Agent GUI en-page JavaScript. Controlez les interfaces web en langage naturel.
* [https://github.com/BuilderIO/agent-native '''agent-native''' ] - Framework pour construire des applications natives pour agents IA.
* [https://github.com/Nutlope/hallmark '''hallmark''' ] - Competence design anti-AI-slop pour Claude Code, Cursor et Codex.
* [https://github.com/tirth8205/code-review-graph '''code-review-graph''' ] - Graphe d'intelligence locale du code pour MCP et CLI ; construit une carte persistante du codebase pour les outils IA.
* [https://github.com/MoonshotAI/kimi-code '''kimi-code''' ] - Le CLI agent Kimi Code : point de depart pour les agents de nouvelle generation.
* [https://github.com/1jehuang/jcode '''jcode''' ] - Le harnais d'agent le plus intelligent pour le code.
* [https://github.com/Shubhamsaboo/awesome-llm-apps '''awesome-llm-apps''' ] - Plus de 100 applications IA, competences d'agents et apps RAG - libre et open source.
* [https://github.com/earendil-works/pi '''pi''' (2026-09-08)          ] - Boite a outils agent IA : API LLM unifiee, boucle agent, TUI, CLI agent de codage.
* [https://github.com/openinterpreter/openinterpreter '''openinterpreter''' ] - Agent de codage pour les modeles ouverts comme Kimi K3.
* [https://github.com/ayghri/i-have-adhd '''i-have-adhd''' ] - Skill pour agent de codage qui arrete le discour de cacher la reponse. Sortie ADHD-friendly.
* [https://github.com/agegr/pi-web '''pi-web''' ] - Interface web pour agent de codage PI avec commandes et interfaces.
* [https://github.com/mattpocock/skills '''skills''' ] - Skills provenant directement du repertoire .agents d'un ingenieur reelement experimente.
* [https://github.com/earthtojake/text-to-cad '''text-to-cad''' ] - Collection de skills agent pour CAO, robotique et conception hardware.
* [https://github.com/virgiliojr94/book-to-skill '''book-to-skill'''] - Transforme tout PDF technique en competence Claude Code : pret a etudier, referencer et utiliser pendant le travail.. (13726 stars)
* [https://github.com/UditAkhourii/adhd '''adhd'''] - Skill agent de codage : tree-of-thought avec pruning, base sur Claude & Codex Agent SDK. Ideation divergente.. (2879 stars)
* [https://github.com/different-ai/openwork openwork] - Alternative open-source a Claude Cowork (base sur opencode) : harness d agents de codage auto-heberge, multi-agents et multi-modeles.* [https://github.com/citrolabs/ego-lite '''ego-lite'''] - Navigateur optimise pour les agents IA : automation avec etat de session, compatible Codex et Claude Code.. (6536 stars)
* [https://github.com/NousResearch/hermes-agent '''hermes-agent'''] (2026-09-06) : The agent that grows with you (242,475⭐)
* [https://github.com/blader/humanizer '''humanizer'''] (2026-09-06) : Agent skill that removes signs of AI-generated writing from text (44,127⭐)
* [https://github.com/netdata/netdata '''netdata'''] (2026-09-06) : The fastest path to AI-powered full stack observability, even for lean teams. (80,444⭐)
* [https://github.com/openclaw/openclaw '''openclaw'''] (2026-09-06) : The AI that really does things. Any OS. Any Platform. The lobster way. 🦞  (389,039⭐)
* [https://github.com/ClickHouse/ClickHouse '''ClickHouse'''] (2026-09-06) : ClickHouse® is a real-time analytics database management system (49,671⭐)
* [https://github.com/pbakaus/impeccable '''impeccable'''] (2026-09-06) : The design language that makes your AI harness better at design. (66,038⭐)
* [https://github.com/CherryHQ/cherry-studio '''cherry-studio''' (2026-09-08)          ]  : AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs (51,518⭐)
* [https://github.com/n8n-io/n8n '''n8n'''] (2026-09-06) : Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations. (203,547⭐)
* [https://github.com/danny-avila/LibreChat '''LibreChat'''] (2026-09-06) : Enhanced ChatGPT Clone: Features Agents, MCP, Skills, DeepSeek, Anthropic, AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-5, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message search, Code Interpreter, langchain, DALL-E-3, OpenAPI Actions, Functions, Secure Multi-User Auth, Presets, open-source for self-hosting. Active (42,869⭐)
* [https://github.com/SimplifyJobs/Summer2027-Internships '''Summer2027-Internships'''] (2026-09-06) : Summer 2027 software engineering, data science, AI, quant, product management, and hardware internship postings. Updated daily by Simplify and Pitt CSC. (47,174⭐)
* [https://github.com/rohitg00/ai-engineering-from-scratch '''ai-engineering-from-scratch'''] (2026-09-06) : Learn it. Build it. Ship it for others. (52,577⭐)
* [https://github.com/CopilotKit/CopilotKit '''CopilotKit'''] (2026-09-06) : The Frontend Stack for Agents & Generative UI. React, Angular, Mobile, Slack, and more.  Makers of the AG-UI Protocol (37,215⭐)
* [https://github.com/BerriAI/litellm '''litellm'''] (2026-09-06) : The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, and logging [Bedrock, Azure, OpenAI, Anthropic, OpenAI, VertexAI, vLLM, Nvidia NIM] (58,161⭐)
* [https://github.com/Significant-Gravitas/AutoGPT '''AutoGPT'''] (2026-09-06) : AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters. (187,174⭐)
* [https://github.com/agno-agi/agno '''agno'''] (2026-09-06) : Build, run, and manage agent platforms. (42,070⭐)
* [https://github.com/amruthpillai/reactive-resume '''reactive-resume'''] (2026-09-06) : A one-of-a-kind resume builder that keeps your privacy in mind. Completely secure, customizable, portable, open-source and free forever. Try it out today! (42,254⭐)
* [https://github.com/langchain-ai/langchain '''langchain'''] (2026-09-06) : The agent engineering platform. (145,805⭐)
* [https://github.com/blakeblackshear/frigate '''frigate'''] (2026-09-06) : NVR with realtime local object detection for IP cameras (35,671⭐)
* [https://github.com/open-webui/open-webui '''open-webui'''] (2026-09-06) : User-friendly AI Interface (Supports Ollama, OpenAI API, ...) (151,125⭐)
* [https://github.com/sgl-project/sglang '''sglang'''] (2026-09-06) : SGLang is a high-performance serving framework for large language models and multimodal models. (35,535⭐)
* [https://github.com/koala73/worldmonitor '''worldmonitor'''] (2026-09-06) : Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface (85,699⭐)
* [https://github.com/lobehub/lobehub '''lobehub''' (2026-09-08)          ]  : 🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team. (82,273⭐)
* [https://github.com/esengine/DeepSeek-Reasonix '''DeepSeek-Reasonix'''] (2026-09-06) : DeepSeek-native AI coding agent for your terminal. Engineered around prefix-cache stability — leave it running. (35,427⭐)
* [https://github.com/mvanhorn/last30days-skill '''last30days-skill'''] (2026-09-06) : AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary (61,434⭐)
* [https://github.com/apache/airflow '''airflow'''] (2026-09-06) : Apache Airflow - A platform to programmatically author, schedule, and monitor workflows (46,754⭐)
* [https://github.com/ggml-org/llama.cpp '''llama.cpp'''] (2026-09-06) : LLM inference in C/C++ (127,269⭐)
* [https://github.com/vllm-project/vllm '''vllm'''] (2026-09-06) : A high-throughput and memory-efficient inference and serving engine for LLMs (91,095⭐)
* [https://github.com/OpenHands/OpenHands '''OpenHands'''] (2026-09-06) : 🙌 OpenHands: AI-Driven Development (86,361⭐)
* [https://github.com/MadsLorentzen/ai-job-search '''ai-job-search'''] (2026-09-06) : The job search that runs on your machine. AI job application framework built on Claude Code: evaluate postings, tailor CVs, write cover letters, prep interviews. Fork it and own it. (41,028⭐)
* [https://github.com/huggingface/transformers '''transformers'''] (2026-09-06) : 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.  (164,905⭐)
* [https://github.com/code-yeongyu/oh-my-openagent '''oh-my-openagent'''] (2026-09-06) : OmO: Drop your tokens. Ultrawork. Done. (68,760⭐)
* [https://github.com/hesreallyhim/awesome-claude-code '''awesome-claude-code'''] (2026-09-06) : A hand-picked collection of the finest of resources for the most awesome of agents, Claude Code, the undisputed champion of coding companions, from the unstoppable team at Anthropic PBC. A delectable showcase of top tier skills, ambidextrous agents, scintillating status lines, top notch developer tooling, and also we have plugins (53,598⭐)
* [https://github.com/usestrix/strix '''strix'''] (2026-09-06) : Open-source AI penetration testing tool to find and fix your app’s vulnerabilities. (60,917⭐)
* [https://github.com/PostHog/posthog '''posthog'''] (2026-09-06) : :hedgehog: PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error tracking, logs, and more – capture all the context agents need to diagnose problems, uncover opportunities, and ship fixes. Steer it all from Slack, web, desktop, or the MCP. (39,613⭐)
* [https://github.com/dbeaver/dbeaver '''dbeaver'''] (2026-09-06) : Free universal database tool and SQL client (51,675⭐)
* [https://github.com/siyuan-note/siyuan '''siyuan'''] (2026-09-06) : An open-source, privacy-first, self-hosted knowledge workspace where humans and AI agents work together 开源、隐私优先、自托管的知识工作空间，让人与智能体在此协作 (46,201⭐)
* [https://github.com/AstrBotDevs/AstrBot '''AstrBot'''] (2026-09-06) : AI Agent Assistant & development framework that integrates lots of IM platforms, LLMs, plugins and AI feature, and can be your openclaw alternative. ✨ (40,094⭐)
* [https://github.com/PDFMathTranslate/PDFMathTranslate '''PDFMathTranslate'''] (2026-09-06) : [EMNLP 2025 Demo] PDF scientific paper translation with preserved formats - 基于 AI 完整保留排版的 PDF 文档全文双语翻译，支持 Google/DeepL/Ollama/OpenAI 等服务，提供 CLI/GUI/MCP/Docker/Zotero (36,738⭐)
* [https://github.com/HKUDS/nanobot '''nanobot'''] (2026-09-06) : Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat apps (47,763⭐)
* [https://github.com/moeru-ai/airi '''airi'''] (2026-09-06) : 💖🧸 Self hosted, you-owned Grok Companion, a container of souls of waifu, cyber livings to bring them into our worlds, wishing to achieve Neuro-sama's altitude. Capable of realtime voice chat, Minecraft, Factorio playing. Web / macOS / Windows supported. (48,836⭐)
* [https://github.com/google/langextract '''langextract'''] (2026-09-06) : A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization. (38,547⭐)
* [https://github.com/pingcap/tidb '''tidb'''] (2026-09-06) : TiDB is built for agentic workloads that grow unpredictably, with ACID guarantees and native support for transactions, analytics, and vector search. No data silos. No noisy neighbors. No infrastructure ceiling. (40,493⭐)
* [https://github.com/twentyhq/twenty '''twenty'''] (2026-09-06) : The open alternative to Salesforce, designed for AI. (56,354⭐)
* [https://github.com/firecrawl/firecrawl '''firecrawl''' (2026-09-08)          ]  : The context API to search, scrape, and interact with the web at scale. 🔥 (177,245⭐)
* [https://github.com/msitarzewski/agency-agents '''agency-agents'''] (2026-09-06) : A complete AI agency at your fingertips - From frontend wizards to Reddit community ninjas, from whimsy injectors to reality checkers. Each agent is a specialized expert with personality, processes, and proven deliverables. (150,446⭐)
* [https://github.com/github/awesome-copilot '''awesome-copilot'''] (2026-09-06) : Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot. (38,688⭐)
* [https://github.com/heygen-com/hyperframes '''hyperframes''' (2026-09-08)          ]  : Write HTML. Render video. Built for agents. (44,348⭐)
* [https://github.com/langfuse/langfuse '''langfuse'''] (2026-09-07) : 🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK, LiteLLM, and more. 🍊YC W23  (34,261⭐)
* [https://github.com/diegosouzapw/OmniRoute '''OmniRoute'''] (2026-09-07) : Never stop coding. Free MIT AI gateway: one endpoint, 352 providers (150+ free), 1200+ models Kimi, Claude, GPT, Gemini, GLM, DeepSeek, MiniMax. Works with Claude Code, Codex, Cursor, OpenCode, Cline & Copilot. Quota-aware auto-fallback, RTK+Caveman compression saves 15-95% tokens, MCP/A2A, Desktop/PWA. Built by 550+ contributors (62,013⭐)
* [https://github.com/qdrant/qdrant '''qdrant'''] (2026-09-07) : Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/ (34,411⭐)
* [https://github.com/lightpanda-io/browser '''browser'''] (2026-09-07) : Lightpanda: the headless browser designed for AI and automation (34,596⭐)
* [https://github.com/paperless-ngx/paperless-ngx '''paperless-ngx''' (2026-09-08)        ]  : A community-supported supercharged document management system: scan, index and archive all your documents (44,898⭐)
* [https://github.com/milvus-io/milvus '''milvus'''] (2026-09-07) : Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search (46,000⭐)
* [https://github.com/rtk-ai/rtk '''rtk'''] (2026-09-07) : CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies (79,117⭐)
* [https://github.com/JuliusBrussee/caveman '''caveman'''] (2026-09-07) : 🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman (103,934⭐)
* [https://github.com/supabase/supabase '''supabase'''] (2026-09-07) : The Postgres development platform. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications. (108,912⭐)
* [https://github.com/punkpeye/awesome-mcp-servers '''awesome-mcp-servers'''] (2026-09-07) : A collection of MCP servers. (94,484⭐)
* [https://github.com/AlexsJones/llmfit '''llmfit'''] (2026-09-07) : Hundreds of models & providers. One command to find what runs on your hardware. (34,972⭐)
* [https://github.com/career-ops-hq/career-ops '''career-ops'''] (2026-09-07) : Open-source AI job search: scan job portals, evaluate listings into a structured A-H report with a global 1-5 score, tailor your CV, track applications — runs locally in your AI coding CLI (Claude Code, Codex, OpenCode, Antigravity…) (70,337⭐)
* [https://github.com/alibaba/nacos '''nacos'''] (2026-09-07) : an easy-to-use dynamic service discovery, configuration and service management platform for building AI cloud native applications. (33,349⭐)
* [https://github.com/Fission-AI/OpenSpec '''OpenSpec'''] (2026-09-07) : Spec-driven development (SDD) for AI coding assistants. (67,458⭐)
* [https://github.com/google-gemini/gemini-cli '''gemini-cli'''] (2026-09-07) : An open-source AI agent that brings the power of Gemini directly into your terminal. (106,837⭐)
* [https://github.com/thedotmack/claude-mem '''claude-mem'''] (2026-09-07) : Persistent Context Across Sessions for Every Agent –  Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More (93,353⭐)
* [https://github.com/ToolJet/ToolJet '''ToolJet'''] (2026-09-07) : Open-source foundation of ToolJet AI - the enterprise app generation platform for internal tools, dashboards, business applications, workflows and AI agents. Build visually, from a prompt, or from Claude Code, Codex and Cursor over MCP 🚀 (40,858⭐)
* [https://github.com/bojieli/ai-agent-book '''ai-agent-book'''] (2026-09-07) : 《深入理解 AI Agent：设计原理与工程实践》（李博杰 著）开源主仓库：全书正文、编译版 PDF 与按章配套代码 (44,976⭐)
* [https://github.com/opendatalab/MinerU '''MinerU'''] (2026-09-07) : Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows. (79,343⭐)
* [https://github.com/agentscope-ai/QwenPaw '''QwenPaw'''] (2026-09-07) : Your Personal AI Assistant; easy to install, deploy on your own machine or on the cloud; supports multiple chat apps with easily extensible capabilities. (34,973⭐)
* [https://github.com/aaif-goose/goose '''goose'''] (2026-09-07) : an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM (53,977⭐)
* [https://github.com/ray-project/ray '''ray'''] (2026-09-07) : Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads. (43,721⭐)
* [https://github.com/shanraisshan/claude-code-best-practice '''claude-code-best-practice'''] (2026-09-07) : from vibe coding to agentic engineering - practice makes claude perfect (65,694⭐)
* [https://github.com/1Panel-dev/1Panel '''1Panel'''] (2026-09-07) : 🔥 1Panel is a modern, open-source Linux server management panel and a lightweight AI management platform. (36,820⭐)
* [https://github.com/hugohe3/ppt-master '''ppt-master'''] (2026-09-07) : AI turns documents or topics into real, native PowerPoint decks—with native shapes, transitions and animations, data-backed charts and tables on demand, audio narration from speaker notes, and support for your own .pptx templates. · by Hugo He (52,530⭐)
* [https://github.com/harry0703/MoneyPrinterTurbo '''MoneyPrinterTurbo'''] (2026-09-07) : 利用 AI 大模型和自动化工作流，根据主题或关键词一键生成高清短视频。Generate HD short videos from a topic or keyword with an automated AI workflow. (121,195⭐)
* [https://github.com/multica-ai/multica '''multica'''] (2026-09-07) : Make humans and AI agents work as one team — open-source and self-hostable. (49,076⭐)
* [https://github.com/affaan-m/ECC '''ECC''' (2026-09-08)        ]  : The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond. (251,695⭐)
* [https://github.com/vercel-labs/agent-browser '''agent-browser'''] (2026-09-07) : Browser automation CLI for AI agents (42,067⭐)
* [https://github.com/QuantumNous/new-api '''new-api'''] (2026-09-07) : A unified AI model hub for aggregation & distribution. It supports cross-converting various LLMs into OpenAI-compatible, Claude-compatible, or Gemini-compatible formats. A centralized gateway for personal and enterprise model management. (47,463⭐)
* [https://github.com/mudler/LocalAI '''LocalAI'''] (2026-09-07) : LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required. (48,945⭐)
* [https://github.com/janhq/jan '''jan'''] (2026-09-07) : Jan is an open source alternative to ChatGPT that runs 100% offline on your computer. (44,367⭐)
* [https://github.com/crewAIInc/crewAI '''crewAI'''] (2026-09-07) : Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks. (58,177⭐)
* [https://github.com/docling-project/docling '''docling'''] (2026-09-07) : Get your documents ready for gen AI (66,085⭐)
* [https://github.com/lyogavin/airllm '''airllm'''] (2026-09-07) : AirLLM 70B inference with single 4GB GPU (33,802⭐)
* [https://github.com/bmad-code-org/BMAD-METHOD '''BMAD-METHOD'''] (2026-09-07) : Breakthrough Method for Agile Ai Driven Development (52,743⭐)
* [https://github.com/tinyhumansai/openhuman '''openhuman'''] (2026-09-07) : OpenHuman is an open source personal AI for Mac, Windows and Linux — local-first memory, agent orchestration, and deep research. (39,487⭐)
* [https://github.com/upstash/context7 '''context7'''] (2026-09-07) : Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors (61,719⭐)
* [https://github.com/odysseus-dev/odysseus '''odysseus'''] (2026-09-07) : Self-hosted AI workspace.  (86,942⭐)
* [https://github.com/meilisearch/meilisearch '''meilisearch'''] (2026-09-07) : A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications. (59,205⭐)
* [https://github.com/K-Dense-AI/scientific-agent-skills '''scientific-agent-skills'''] (2026-09-07) : Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 190,000+ scientists worldwide. 165 ready-to-use validated skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard. (43,473⭐)
* [https://github.com/continuedev/continue '''continue'''] (2026-09-07) : open-source coding agent (35,821⭐)
* [https://github.com/unclecode/crawl4ai '''crawl4ai'''] (2026-09-07) : 🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/jP8KfhDhyN (81,859⭐)
* [https://github.com/zhayujie/CowAgent '''CowAgent'''] (2026-09-07) : Open-source super AI assistant & Agent Harness. Plans tasks, runs tools and skills, self-evolves with memory and knowledge. Multi-model, multi-channel. Lightweight, extensible, one-line install. (formerly chatgpt-on-wechat) (46,805⭐)
* [https://github.com/Dokploy/dokploy '''dokploy'''] (2026-09-07) : Open Source Alternative to Vercel, Netlify and Heroku. (37,148⭐)
* [https://github.com/asgeirtj/system_prompts_leaks '''system_prompts_leaks'''] (2026-09-07) : Extracted system prompts from Anthropic - Claude Fable 5.1, Opus 5, Claude Design, Claude Code. OpenAI - ChatGPT GPT-6-Astra, Codex. Google - Gemini 3.8 Flash, 3.1 Pro, Antigravity. xAI - Grok, Grok Bot, Cursor, Kimi and more! Updated regularly. (64,319⭐)
* [https://github.com/hacksider/Deep-Live-Cam '''Deep-Live-Cam'''] (2026-09-07) : real time face swap and one-click video deepfake with only a single image (96,529⭐)
* [https://github.com/browser-use/browser-use '''browser-use'''] (2026-09-07) : 🌐 Make websites accessible for AI agents. Automate tasks online with ease. (112,929⭐)
* [https://github.com/ollama/ollama '''ollama'''] (2026-09-07) : Get up and running with Kimi-K2.6, GLM-5.2, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. (180,407⭐)
* [https://github.com/danielmiessler/Fabric '''Fabric'''] (2026-09-07) : Fabric is an open-source framework for augmenting humans using AI. It provides a modular system for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere. (43,866⭐)
* [https://github.com/TauricResearch/TradingAgents '''TradingAgents'''] (2026-09-07) : TradingAgents: Multi-Agents LLM Financial Trading Framework (102,888⭐)
* [https://github.com/Mintplex-Labs/anything-llm '''anything-llm'''] (2026-09-08) : Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience  (65,745⭐)
* [https://github.com/MemPalace/mempalace '''mempalace'''] (2026-09-08) : The best-benchmarked open-source AI memory system. And it's free. (58,904⭐)
* [https://github.com/lutzroeder/netron '''netron'''] (2026-09-08) : Visualizer for neural network, deep learning and machine learning models (33,447⭐)
=== Audio & TTS ===
=== Audio & TTS ===
* [https://huggingface.co/Supertone/supertonic-3 '''Superto
* [https://github.com/SYSTRAN/faster-whisper '''faster-whisper (mutualisé)'''] — Transcription speech-to-text optimisée.
* [https://github.com/microsoft/VibeVoice VibeVoice (Microsoft)] - Framework vocal open-source (TTS + ASR) de Microsoft : synthese, clonage et reconnaissance vocale de pointe.nic-3'''] — TTS léger pour inférence locale, ONNX Runtime, zéro cloud
* [https://huggingface.co/Qwen/Qwen3-Omni-30B-A3B-Instruct '''Qwen3-Omni-30B-A3B-Instruct'''] — Modèle multimodal Qwen (audio + texte + image).
* [https://github.com/SYSTRAN/faster-whisper '''faster-whisper (mutualisé)'''] — Transcription speech-to-text optimisée
* [https://github.com/heygen-com/hyperframes '''hyperframes''' (2026-09-08)          ]  : Write HTML. Render video. Built for agents. Génération vidéo par agents (44,346⭐)
* [https://huggingface.co/Qwen/Qwen3-Omni-30B-A3B-Instruct '''Qwen3-Omni-30B-A3B-Instruct'''] — Modèle multimodal Qwen (audio + texte + image)
* '''nemotron-3.5-asr-streaming-0.6b''' — Modèle ASR streaming NVIDIA, faible latence pour transcription temps réel


=== Génération & Édition d'Images ===
=== Génération & Édition d'Images ===
* [https://huggingface.co/HiDream-ai/HiDream-O1-Image '''HiDream-O1-Image'''] — Modèle unifié pixel-level (UiT), sans VAE externe — t2i, édition, personnalisation jusqu'à 2048×2048
* [https://github.com/Comfy-Org/ComfyUI '''ComfyUI''' ] : GUI et backend diffusion model le plus modulaire. (131k⭐)
* [https://github.com/unslothai/unsloth '''unsloth'''] : UI locale pour LLMs et diffusion models. GGUF, MLX, Qwen3.8. (75k⭐)


* [https://github.com/Comfy-Org/ComfyUI '''ComfyUI''' (2026-09-08)          ]  : The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface. (131,774⭐)
* [https://github.com/unslothai/unsloth '''unsloth'''] (2026-09-06) : Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more. (75,722⭐)
=== RAG & Traitement de Documents ===
=== RAG & Traitement de Documents ===
* [https://github.com/firecrawl/firecrawl '''firecrawl''' (2026-09-08)          ] : The context API to search, scrape, and interact with the web at scale. 🔥 (177,225⭐)
* [https://github.com/firecrawl/firecrawl '''firecrawl''' ] : API web contextuelle pour search, scrape et interaction. (178k⭐)
* '''RAG sur PDF avec images'''
* [https://github.com/paperless-ngx/paperless-ngx '''paperless-ngx''' ] : Document management : scan, index, archive. ML, OCR. (45k⭐)
* [https://huggingface.co/ibm-granite/granite-docling-258M '''granite-docling-258M'''] — Parsing structuré de documents IBM Granite
* [https://github.com/graphify-labs/graphify '''graphify''' ] : Transforme codebase en graphe de connaissances interrogeable. (115k⭐)
* [https://github.com/deepset-ai/haystack '''Haystack'''] — Framework RAG end-to-end (deepset)
* [https://github.com/HKUDS/LightRAG '''LightRAG'''] : RAG simple et rapide. (39k⭐)
* [https://github.com/paperless-ngx/paperless-ngx '''paperless-ngx''' (2026-09-08)          ] : Document management: scan, index, archive. ML, OCR, PDF (45,407⭐)
* [https://github.com/microsoft/graphrag '''graphrag'''] : RAG modulaire basé sur les graphes. (35k⭐)
* [https://github.com/Graphify-Labs/graphify '''graphify''' (2026-09-08)          ] : Transformer tout codebase (docs, SQL, configs, PDFs) en graphe de connaissances interrogeable (115,000⭐)
* [https://github.com/infiniflow/ragflow '''ragflow'''] : RAG engine open-source avec capacités Agent. (90k⭐)
* [https://github.com/mem0ai/mem0 '''Mem0'''] — Mémorie à long terme pour agents IA
* [https://github.com/headroomlabs-ai/headroom '''headroom''' ] : Compress tool outputs, logs, files et RAG chunks. 20-95% token savings. (69k⭐)
* [https://github.com/meilisearch/meilisearch '''meilisearch'''] — Moteur de recherche full-text
* [https://github.com/mem0ai/mem0 '''Mem0''' ] — Mémorie à long terme pour agents IA. (64k⭐)


* [https://github.com/Stirling-Tools/Stirling-PDF '''Stirling-PDF''' ] - Application PDF #1 sur GitHub : traitement complet des PDF sur tous les appareils.
* [https://github.com/firecrawl/pdf-inspector '''pdf-inspector''' ] — Fast Rust library for PDF inspection, classification, and text extraction. Detects scanned vs text-based PDFs for smart routing.
* [https://github.com/apache/ossie '''Ossie''' ] - Standard open-source Apache pour les metadonnees semantiques entre analytics, IA et BI.
* [https://github.com/HKUDS/LightRAG '''LightRAG'''] (2026-09-06) : [EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation (39,438⭐)
* [https://github.com/appwrite/appwrite '''appwrite'''] (2026-09-06) : Appwrite® - complete cloud infrastructure for your web, mobile and AI apps. Including Auth, Databases, Storage, Functions, Messaging, Hosting, Realtime and more (57,303⭐)
* [https://github.com/langgenius/dify '''dify'''] (2026-09-07) : Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack. (154,647⭐)
* [https://github.com/VectifyAI/PageIndex '''PageIndex'''] (2026-09-07) : 📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG (35,552⭐)
* [https://github.com/microsoft/graphrag '''graphrag'''] (2026-09-07) : A modular graph-based Retrieval-Augmented Generation (RAG) system (35,859⭐)
* [https://github.com/infiniflow/ragflow '''ragflow'''] (2026-09-07) : RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs (90,149⭐)
* [https://github.com/headroomlabs-ai/headroom '''headroom'''] (2026-09-07) : Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server. (69,152⭐)
* [https://github.com/volcengine/OpenViking '''OpenViking'''] (2026-09-07) : Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills. (35,812⭐)
* [https://github.com/pathwaycom/pathway '''pathway'''] (2026-09-07) : Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG. (62,335⭐)
* [https://github.com/ruvnet/ruflo '''ruflo'''] (2026-09-07) : 🌊 The original agent meta-harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, RAG integration, and native Claude Code / Codex / Hermes and many more Integrated (71,110⭐)
* [https://github.com/bytedance/deer-flow '''deer-flow'''] (2026-09-07) : An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours. (81,658⭐)
* [https://github.com/Shubhamsaboo/awesome-llm-apps '''awesome-llm-apps'''] (2026-09-07) : 100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source. (136,453⭐)
* [https://github.com/zylon-ai/private-gpt '''private-gpt'''] (2026-09-07) : Complete API layer for private AI applications on local models: RAG, skills, tools, MCP, text-to-sql, and more. Works with any OpenAI-compatible inference server. (57,498⭐)
=== APIs à Développer ===
=== APIs à Développer ===
* '''Classificateur IA''' — Classification de contenu
* '''Classificateur IA''' — Classification de contenu.
* '''Résumé mutualisé''' — API de résumé de texte partagée
* '''Résumé mutualisé''' — API de résumé de texte partagée.
* '''NER''' — Reconnaissance d'entités nommées
* '''NER''' — Reconnaissance d'entités nommées.
* '''Compressor''' — Compression de contenu
* '''Compressor''' — Compression de contenu.


=== Infrastructure & Backend ===
=== Infrastructure & Backend ===
* [https://github.com/diegosouzapw/OmniRoute '''OmniRoute''' ] — Passerelle IA gratuite : un endpoint, 231+ providers (50+ free), compression 15-95% tokens.
* [https://github.com/temporalio/temporal '''Temporal'''] — Orchestration de workflows critiques.
* [https://github.com/temporalio/temporal '''Temporal'''] — Orchestration de workflows critiques
* [https://github.com/LMCache/LMCache '''LMCache''' ] — Couche KV cache ultra-rapide. Réduit latence d'inférence.
* [https://github.com/vllm-project/semantic-router '''Semantic Router'''] — Routage sémantique de requêtes vLLM
* [https://github.com/vllm-project/semantic-router '''Semantic Router'''] — Routage sémantique de requêtes vLLM.
* [https://github.com/supabase/supabase '''Supabase'''] — Alternative open-source Firebase (PostgreSQL, Auth, etc.)
* [https://github.com/metabase/metabase '''Metabase'''] — Analytics et dashboards open-source
* [https://github.com/n8n-io/n8n '''N8N'''] — Workflow automation open-source
* [https://github.com/n0-computer/iroh '''iroh''' ] - Stack reseau modulaire en Rust -- decentralise, base sur des cles plutot que des IP.
* [https://github.com/LMCache/LMCache '''LMCache''' ] - Couche KV cache ultra-rapide pour les L
* [https://github.com/opengeos/GeoLibre GeoLibre] - Plateforme SIG open-source cloud-native pour visualisation et analyse de donnees geospatiales (web, bureau, mobile, Jupyter).
* [https://github.com/CoreBunch/Instatic Instatic] - CMS visuel auto-heberge et agentic alternative a Webflow/Framer : utilisateurs, roles, plugins, base de donnees integree.LM -- reduit drastiquement la latence d'inference.
* [https://github.com/meshery/meshery '''Meshery''' ] - Gestionnaire cloud native open-source -- observabilite et orchestration multi-cluster.
* [https://github.com/koala73/worldmonitor '''worldmonitor''' ] - Tableau de bord de renseignement global en temps reel : aggregation IA de news et suivi d'infrastructure.
* [https://github.com/oblien/openship '''openship''' ] - Plateforme de deploiement auto-hebergeee et auto-deployee avec travaux automatiques.


=== Outils Dev ===
=== Outils Dev ===
* [https://github.com/Aider-AI/aider '''Aider'''] — Assistant de codage IA en ligne de commande
* [https://github.com/Aider-AI/aider '''Aider'''] — Assistant de codage IA en ligne de commande.
* [https://github.com/continuedev/continue '''Continue'''] — Extension IDE IA (VS Code, JetBrains)
* [https://github.com/continuedev/continue '''Continue'''] — Extension IDE IA (VS Code, JetBrains). (35k⭐)
* [https://github.com/KnockOutEZ/wigolo '''wigolo''' ] - Web local-first pour agent de codage — recherche, fetch, crawl et recherche via MCP, sans clee API.
* [https://modelcontextprotocol.io '''MCP LLM'''] — Modèle de langage via Model Context Protocol


----
= Assistants IA & outils cloud =
= Assistants IA & outils cloud =


Latest revision as of 09:44, 11 September 2026

Discover cloud and AI on infocepo.com

infocepo.com – Cloud, AI & Labs

Bienvenue sur le portail infocepo.com.

Ce wiki documente l’écosystème Cloud, IA, automatisation et lab d’Infocepo. Il s’adresse aux :

  • administrateurs systèmes,
  • ingénieurs cloud,
  • développeurs,
  • étudiants,
  • curieux qui veulent apprendre en pratiquant.

L’objectif est simple : transformer la théorie en scripts réutilisables, schémas, architectures, APIs et laboratoires concrets.

Accès rapide

Portail principal

Assistant IA

Liste des pages du wiki

Vue d’ensemble

Infra architecture overview

Démarrer rapidement

Parcours recommandés

1. Construire un assistant IA privé
  • Déployer une stack type Hermes WebUI + Ollama + GPU
  • Ajouter un modèle de chat et un modèle de résumé
  • Brancher des données internes via RAG + embeddings
2. Lancer un lab cloud
  • Créer un petit cluster Kubernetes, OpenStack ou bare-metal
  • Mettre en place un pipeline de déploiement (Helm, Ansible, Terraform…)
  • Ajouter un service IA : transcription, résumé, chatbot, OCR…
3. Préparer un audit ou une migration
  • Inventorier les serveurs avec ServerDiff.sh
  • Concevoir l’architecture cible
  • Automatiser la migration avec des scripts reproductibles

Vue d’ensemble du contenu

  • Guides IA & outils : assistants, modèles, évaluation, GPU, RAG
  • Cloud & infrastructure : Kubernetes, OpenStack, HA, HPC, DevSecOps
  • Labs & scripts : audit, migration, automatisation
  • Comparatifs : Kubernetes vs OpenStack vs AWS vs bare-metal, etc.

Vision

The world after automation

Le but à long terme est de construire un environnement où :

  • les assistants IA privés accélèrent la production,
  • les tâches répétitives sont automatisées,
  • les déploiements sont industrialisés,
  • l’infrastructure reste compréhensible, portable et réutilisable.

Chaque sortie IA est mesurée en temps réel, les modèles faibles sont remplacés automatiquement, et les tâches sans valeur sont coupées. L'autonomie vient de mécanismes techniques qui fonctionnent quand personne ne regarde — pas de règles écrites dans un doc.

Main page summary

Catalogue rapide des services

Services principaux
Catégorie Service Rôle
API LLM Modèles de chat, code, RAG, OCR
API STT Transcription audio
API TTS Synthèse vocale
API realtime-ai Temps réel WebSocket / WebRTC
API IMAGE2TXT OCR / VLM via endpoint dédié
API summary Résumé de textes longs
API EMBEDDINGS Embeddings pour RAG
API ChromaDB Base vecteur
API TXT2IMAGE Génération d’images
API diarization Segmentation locuteurs
Observabilité monitoring Dashboards techniques
Observabilité status Disponibilité des services
Observabilité web-stat Statistiques web
Observabilité LLM-stat Vue API / usage
Outils dataLab Environnement de travail hors-production
Outils realtime translation Traduction
Outils Demos Démonstrateurs

Sélection AI & architecture par couche

Le tableau de bord Sélection AI présente l'architecture par couche des modèles IA déployés :

Couche Modèle Alias(s) Taille
HYBRID-CLOUD Qwen3.6-35B flash, default, thinking, vision Option 135B MoE / 3B actif
Qwen3.8-Flash-Next flash, default, thinking, vision, max Option 2125B MoE, 51B n-grames internes, 6B actif, 1M contexte
MiniMax-H3 video 33B dense
BGE-M3 embedding 568M
BGE-reranker-v2-m3 reranker 568M
FLUX.2-klein-4B image 4B
GLiNER2.5-Multi-V1 privacy 287M, mDeBERTa-v3-base — privacy filter: api-llm-privacy-proxy-gliner2
Public-Cloud GLM-5.3-Flash max 320B MoE / 18B actif — 1M contexte, multimodal
LOCAL Qwen3.5-9B flash, default, thinking, vision Option 1 9B dense
Qwen3.8-27B flash, default, thinking, vision, max Option 2 27B dense

Frameworks

Outil Usage
Hermes Usage général, raisonnement
OpenCode DevSecOps
Kilo Code Développement pur

Mémoire

Pour la couche d'embedding vectoriel (RAG, mémoire sémantique) :

  • BGE-M3 — 568M paramètres, architecture XLM-RoBERTa. Multi-fonction (dense + sparse + multi-vector), 100+ langues, licence MIT. Idéal comme moteur de mémoire à échelle.

Nouveautés

Nouveautés implémentés

  • tricoteuses-k8s (2026-09-08) : Kubernetes deployment for tricoteuses-juridique
  • dashboard-superset-mcp (2026-09-07) : Automate Apache Superset dashboard creation via MCP server 6.1.0+
  • api-txt2image (2026-09-02) : Text-to-image generation API for AI-powered image creation
  • omnivoice-tts (2026-09-01) : omnivoice-tts
  • superset-k8s (2026-09-01) : superset-k8s
  • dind-build (2026-08-31) : Docker-in-Docker build factory on Kubernetes — build, push, pull via K8s DinD pod
  • quality-gate (2026-08-28) : quality-gate
  • agent-saas (2026-08-27) : SaaS AI agent platform — deploy autonomous AI agents as a service
  • api-convert2md (2026-08-26) : Document-to-Markdown conversion API — clean markdown from various formats
  • qwen36-sglang (2026-08-24) : Qwen 3.6 deployment with SGLang for high-performance inference
  • trafilatura-local (2026-08-23) : trafilatura-local
  • api-rag (2026-08-19) : RAG API — semantic search over knowledge bases with retrieval-augmented generation
  • models-todo (2026-08-19) : models-todo
  • minimax-music3 (2026-08-18) : minimax-music3
  • hermes-img-gen-infocepo (2026-08-15) : hermes-img-gen-infocepo
  • ask-multiple-pdfs (2026-08-14) : A Langchain app that allows you to chat with multiple PDFs
  • openclaw-install (2026-08-14) : OpenClaw installer — setup script for OpenClaw AI assistant deployment
  • api-llm-custom (2026-08-13) : Custom LLM proxy API — route requests to any language model backend
  • infocepo-infra-mcp (2026-08-12) : infocepo-infra-mcp
  • api-mcp-openai (2026-08-11) : AI MCP OpenAI Integration
  • api-embedding (2026-08-07) : Text embedding API — convert text to vector embeddings for semantic search
  • api-reranker (2026-08-06) : Cross-encoder reranking API for improving search retrieval quality
  • nemotron-embed (2026-07-31) : nemotron-embed
  • coder-brain (2026-07-28) : AI-powered code analysis and generation engine
  • translate-rt (2026-07-28) : Real-time translation API — multilingual translation with low latency
  • qwen3.5-fp8-vllm (2026-07-27) : Qwen 3.5 FP8 vLLM model deployment
  • ai-assistant (2026-07-17) : General-purpose AI assistant with task execution capabilities
  • ai-security (2026-07-17) : AI security tools — audit and harden LLM deployments against common attacks
  • api-audio2txt (2026-07-17) : Fast audio-to-text transcription API with real-time Whisper model support
  • api-audio2txt-gemma4 (2026-07-17) : Gemma 4-powered audio transcription API for speech-to-text conversion
  • api-audio2txt-qwen3 (2026-07-17) : Qwen 3-based audio transcription API leveraging advanced language model capabilities
  • api-diarization (2026-07-17) : Speaker diarization API — identifies and separates multiple speakers in audio streams
  • api-image (2026-07-17) : Image processing API — resize, convert, analyze, and transform images
  • api-lightrag (2026-07-17) : Lightweight RAG (Retrieval-Augmented Generation) API for document-based Q&A
  • api-llm-privacy-proxy (2026-07-17) : LLM privacy proxy — filter secrets and sensitive data from API calls
  • api-llm-privacy-proxy-gliner2 (2026-07-17) : GLiNER2-powered LLM privacy proxy for named entity detection and filtering
  • api-llm-privacy-proxy-openmed (2026-07-17) : OpenMED-powered LLM privacy proxy for medical text privacy filtering
  • api-ocr (2026-07-17) : Document OCR API — extract text, tables, and structure from scanned documents
  • api-realtime-ai (2026-07-17) : Real-time AI inference API with low-latency streaming responses
  • api-tts-omnivoice (2026-07-17) : Text-to-speech API powered by OmniVoice for natural voice synthesis
  • api-txt2audio (2026-07-17) : Text-to-audio generation API for converting text content to audio output
  • artificial-human (2026-07-17) : Artificial human simulation — explore the boundary between human and AI behavior
  • audio2txt (2026-07-17) : audio2txt
  • common-good-accelerator (2026-07-17) : Platform for accelerating common good and social impact initiatives
  • dgx-memory-fix (2026-07-17) : NVIDIA DGX memory management — diagnose and fix memory leaks on GPU systems
  • diff-multi (2026-07-17) : Multi-format diff tool — compare files, directories, and structured data
  • docker2rootless (2026-07-17) : docker2rootless
  • evaluate-my-code (2026-07-17) : Code evaluation and quality assessment tool — automated peer review
  • github-k8s-example (2026-07-17) : Kubernetes deployment example for GitHub Actions CI/CD pipelines
  • k8s-internet-infrastructure (2026-07-17) : Internet infrastructure on Kubernetes — DNS, networking, and routing
  • langextract-demo (2026-07-17) : Demo application showcasing langextract for LLM output extraction
  • langfuse-k8s (2026-07-17) : Langfuse observability deployment on Kubernetes for LLM tracing and monitoring
  • legal-agent (2026-07-17) : Legal AI agent — assist with legal document analysis and research
  • litellm-proxy (2026-07-17) : LiteLLM proxy — unified API interface for multiple LLM providers
  • llmbench (2026-07-17) : LLM benchmarking suite — measure and compare language model performance
  • mail-search (2026-07-17) : Email search tool — query and analyze inbox contents
  • mediawiki-migrate (2026-07-17) : MediaWiki migration tool — migrate and sync wiki content between platforms
  • opencode-demo (2026-07-17) : OpenCode CLI demo — open-source alternative for AI-assisted coding
  • realtime-transcription (2026-07-17) : Real-time audio transcription service — live speech-to-text
  • vpn-network (2026-07-17) : VPN network configuration — secure remote access and networking

Priorités

Top tasks

  • markitdown (2026-09-11) : Conversion fichiers et documents bureautiques vers Markdown — pipeline de données pour pipelines IA. (182k⭐, 4.5k/semaine)
  • i-have-adhd (2026-09-11) : Agent skill pour sortie ADHD-friendly — formatage clair et direct des réponses d'agents IA. (38k⭐, 10k/semaine)
  • diagram-design (2026-09-11) : 38 types de diagrammes éditoriaux pour agents de codage (Claude, Codex, Pi). HTML + SVG auto-contenu. (37k⭐, 7k/semaine)
  • skills (2026-09-11) : Repository public officiel des compétences d'agents Anthropic. (175k⭐, 2.2k/semaine)
  • Presidio : anonymisation / masquage PII, socle RGPD obligatoire.
  • Temporal : orchestration de workflows critiques et fiables.
  • OmniRoute : passerelle IA unifiée, auto-fallback, compression de tokens.
  • NeMo Guardrails : garde-fous et politiques de sécurité IA.
  • Langfuse : observabilité, evals et metrics pour pipelines IA.
  • LMCache : couche KV cache ultra-rapide, latence d'inférence réduite.
  • Meshery : gestion cloud native multi-cluster, observabilité.
  • PageIndex : RAG vectorless à raisonnement, alternative aux embeddings.
  • Coût unitaire par tâche : chaque API doit exposer son prix/ml/token en temps réel — pas une facture mensuelle.
  • Qualité auto : précision/hallucination rate branchés sur les sorties IA, avec rollback automatique si qualité < seuil.

Backlog / Veille Technologique

Agents IA & Orchestration

  • LangChain : Framework pour applications basées sur les LLM. Le plus mature. (145k⭐)
  • Dify : Plateforme de développement d'applications IA (LLM Ops). Déployable en self-host. (154k⭐)
  • browser-use : Framework pour contrôler les navigateurs via des agents IA. (112k⭐)
  • vllm : Moteur d'inférence haute performance pour LLMs. (91k⭐)
  • open-webui : Interface web IA (Ollama, OpenAI API, MCP). (151k⭐)
  • ollama : Get up and running with Kimi-K2.6, GLM-5.2, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. (180k⭐)
  • n8n : Fair-code workflow automation with native AI. 400+ intégrations. (203k⭐)
  • milvus : Base de données vectorielle haute performance. (46k⭐)
  • qdrant : Vector database haute performance. (34k⭐)
  • Minimax-Text-01 : Modèle LLM open-source Minimax.
  • langgraph : Build resilient agents with LangChain. (41k⭐)
  • llama_index : LlamaIndex is the leading document agent and OCR platform (52k⭐)
  • LocalAI : LocalAI is the open-source AI engine. Run any model on any hardware. (49k⭐)
  • SuperSonic : SuperSonic by NVIDIA — Super fast inference engine.
  • sglang : SGLang is a high-performance serving framework for large language models. (36k⭐)
  • flue — Framework sandbox pour agents IA : isolation et exécution sécurisée.
  • hermes-agent : The agent that grows with you (243k⭐)

Audio & TTS

Génération & Édition d'Images

  • ComfyUI  : GUI et backend diffusion model le plus modulaire. (131k⭐)
  • unsloth : UI locale pour LLMs et diffusion models. GGUF, MLX, Qwen3.8. (75k⭐)

RAG & Traitement de Documents

  • firecrawl  : API web contextuelle pour search, scrape et interaction. (178k⭐)
  • paperless-ngx  : Document management : scan, index, archive. ML, OCR. (45k⭐)
  • graphify  : Transforme codebase en graphe de connaissances interrogeable. (115k⭐)
  • LightRAG : RAG simple et rapide. (39k⭐)
  • graphrag : RAG modulaire basé sur les graphes. (35k⭐)
  • ragflow : RAG engine open-source avec capacités Agent. (90k⭐)
  • headroom  : Compress tool outputs, logs, files et RAG chunks. 20-95% token savings. (69k⭐)
  • Mem0 — Mémorie à long terme pour agents IA. (64k⭐)

APIs à Développer

  • Classificateur IA — Classification de contenu.
  • Résumé mutualisé — API de résumé de texte partagée.
  • NER — Reconnaissance d'entités nommées.
  • Compressor — Compression de contenu.

Infrastructure & Backend

  • Temporal — Orchestration de workflows critiques.
  • LMCache — Couche KV cache ultra-rapide. Réduit latence d'inférence.
  • Semantic Router — Routage sémantique de requêtes vLLM.

Outils Dev

  • Aider — Assistant de codage IA en ligne de commande.
  • Continue — Extension IDE IA (VS Code, JetBrains). (35k⭐)

Assistants IA & outils cloud

Assistants IA

Assistants IA auto-hébergés
Stack typique pour assistant privé, API OpenAI-compatible et expérimentation locale.

Développement, modèles & veille

Découverte de modèles
Évaluation & benchmarks
Outils de développement & fine-tuning

Matériel IA & GPU

API Realtime AI (DEV)

Statut : environnement DEV, remplaçante prévue de l’API OpenAI pour les cas temps réel.

Configuration

Variable Valeur
OPENAI_API_BASE wss://api-realtime-ai.ailab.infocepo.com:wait-2026-12/v1
OPENAI_API_KEY sk-XXXXX

Dépôt GitHub

Page de test

  • external-test/half-duplex.html — annulation d’écho + mode half-duplex.

Compatibilité

Remplacer l’URL OpenAI par $OPENAI_API_BASE pour tester compatibilité et performances.

API LLM (OpenAI compatible)

Liste des modèles

curl -X GET \
  'https://api-nothink.ailab.infocepo.com/v1/models' \
  -H 'Authorization: Bearer sk-XXXXX' \
  -H 'accept: application/json' \
  | jq | sed -rn 's#^.*id.*: "(.*)".*$#* \1#p' | sort -u

Modèles ouverts & endpoints internes

Dernière mise à jour : 2026-06-30

Les modèles ci-dessous correspondent à des endpoints logiques exposés derrière une passerelle.

Endpoint Description / usage principal
ai-thinking qwen3.6 fp8 – thinking
ai-fast qwen3.6 fp8 en mode fast – vision/OCR/ai-default
ai-embedding bge-m3 – recherche sémantique
ai-stt whisper3-turbo – transcription vocale multilingual
ai-tts OmniVoice – TTS multilingual
ai-image OpenDalle – image génération

Exemple bash

export OPENAI_API_MODEL="ai-default"
export OPENAI_API_BASE="https://api-nothink.ailab.infocepo.com/v1"
export OPENAI_API_KEY="sk-XXXXX"

promptValue="Quel est ton nom ?"
jsonValue='{
  "model": "'${OPENAI_API_MODEL}'",
  "messages": [{"role": "user", "content": "'${promptValue}'"}],
  "temperature": 0
}'

curl ${OPENAI_API_BASE}/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -d "${jsonValue}" 2>/dev/null | jq '.choices[0].message.content'

Vue infra LLM

File:Litellm-proxy-mermaid-diagram-2024-03-24-205202.png

DEV (au choix)

  • A. LiteLLM → vLLM/SgLang : tests perf / compatibilité
  • B. LiteLLM → Ollama : simple, rapide à itérer
  • C. Ollama direct : POC ultra-léger

DEV – modèle FR / résumé

  • LiteLLM → Ollama /v1

PROD

  • Standard : LiteLLM → vLLM/SgLang
  • Pont DEV→PROD : LiteLLM (DEV) → LiteLLM (PROD) → vLLM/SgLang

Notes :

  • LiteLLM = passerelle unique (clés, quotas, logs)
  • vLLM/SgLang = performance / stabilité en charge
  • Ollama = simplicité de prototypage

API Image to Text

  • Utilise l’API LLM avec un endpoint adapté à l’OCR / VLM.
  • Modèle recommandé : ai-vision

Exemple bash

OPENAI_API_KEY=sk-XXXXX

base64 -w0 "/path/to/image.png" > img.b64

jq -n --rawfile img img.b64 \
'{
  model: "ai-vision",
  messages: [
    {
      role: "user",
      content: [
        { "type": "text", "text": "Décris cette image." },
        {
          "type": "image_url",
          "image_url": { "url": ("data:image/png;base64," + ($img | rtrimstr("\n"))) }
        }
      ]
    }
  ]
}' > payload.json

curl https://api-nothink.ailab.infocepo.com/v1/chat/completions \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @payload.json

Exemple Python

import base64
import json
import requests
import os

API_KEY = os.getenv("OPENAI_API_KEY")
MODEL = "ai-vision"
IMG_PATH = "/path/to/image.png"
API_URL = "https://api-nothink.ailab.infocepo.com/v1/chat/completions"

with open(IMG_PATH, "rb") as f:
    img_b64 = base64.b64encode(f.read()).decode("utf-8")

payload = {
    "model": MODEL,
    "messages": [
        {
            "role": "user",
            "content": [
                {"type": "text", "text": "Décris cette image."},
                {
                    "type": "image_url",
                    "image_url": {"url": f"data:image/png;base64,{img_b64}"}
                }
            ]
        }
    ]
}

headers = {
    "Authorization": f"Bearer {API_KEY}",
    "Content-Type": "application/json"
}

response = requests.post(API_URL, headers=headers, data=json.dumps(payload))

if response.ok:
    print(json.dumps(response.json(), indent=2, ensure_ascii=False))
else:
    print(f"Erreur {response.status_code}: {response.text}")

API STT

Exemple Python

import requests

OPENAI_API_KEY = 'sk-XXXXX'

url = 'https://api-audio2txt.ailab.infocepo.com/v1/audio/transcriptions'
headers = {
    'Authorization': f'Bearer {OPENAI_API_KEY}',
}
files = {
    'file': ('file.opus', open('/path/to/file.opus', 'rb')),
    'model': (None, 'whisper-1')
}

response = requests.post(url, headers=headers, files=files)
print(response.json())

Exemple curl

[ ! -f /tmp/test.ogg ] && wget "https://upload.wikimedia.org/wikipedia/commons/1/17/Fables_de_La_Fontaine_Livre_1_01.ogg" -O /tmp/test.ogg

export OPENAI_API_KEY=sk-XXXXX

curl https://api-audio2txt.ailab.infocepo.com/v1/audio/transcriptions \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -F model="whisper-1" \
  -F file="@/tmp/test.ogg"

Notes

  • Plusieurs formats audio sont acceptés.
  • Le flux final est normalisé en 16 kHz mono.
  • Pour une qualité optimale : privilégier OPUS 16 kHz mono.

UI

API TTS

Exemple

export OPENAI_API_KEY=sk-XXXXX

curl https://api-tts-omnivoice.ailab.infocepo.com/v1/audio/speech \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-4o-mini-tts",
    "input": "Bonjour, ceci est un test de synthèse vocale.",
    "voice": "coral",
    "instructions": "Speak in a cheerful and positive tone.",
    "response_format": "opus"
  }' | ffplay -i -

API Text to Image

Exemple

export OPENAI_API_KEY=EMPTY

curl https://api-txt2image.ailab.infocepo.com/v1/images/generations \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -d '{
    "prompt": "a photo of a happy corgi puppy sitting and facing forward, studio light, longshot",
    "n": 1,
    "size": "1024x1024"
  }'

API Diarization

Exemple

wget "https://upload.wikimedia.org/wikipedia/commons/6/60/Mike_Peters_on_Politics_and_Emotion_%28Interview_1984%29.mp3" -O /tmp/test.mp3

curl -X POST "https://api-diarization.ailab.infocepo.com/upload-audio/" \
  -H "Authorization: Bearer token1" \
  -F "file=@/tmp/test.mp3"

API Summary

Exemple

text="The tower is 324 metres tall and is one of the most recognizable monuments in the world."

json_payload=$(jq -nc --arg text "$text" '{"text": $text}')

curl -X POST https://api-summary.ailab.infocepo.com:wait-2026-12/summary/ \
  -H "Content-Type: application/json" \
  -d "$json_payload"

API Text Embeddings

Exemple

curl https://api-embedding.ailab.infocepo.com/v1/embeddings \
  -X POST \
  -d '{"model":"bge-m3","input":"What is Deep Learning?"}' \
  -H 'Content-Type: application/json'

API DB Vectors (ChromaDB)

Production

Lab

export CHROMA_HOST=https://chromadb.c1.ailab.infocepo.com:wait-2026-12
export CHROMA_PORT=443
export CHROMA_TOKEN=XXXX

Exemple curl

curl -v "${CHROMA_HOST}"/api/v1/collections \
  -H "Authorization: Bearer ${CHROMA_TOKEN}"

Exemple Python

import chromadb
from chromadb.config import Settings

def chroma_http(host, port=80, token=None):
    return chromadb.HttpClient(
        host=host,
        port=port,
        ssl=host.startswith('https') or port == 443,
        settings=(
            Settings(
                chroma_client_auth_provider='chromadb.auth.token.TokenAuthClientProvider',
                chroma_client_auth_credentials=token,
            ) if token else Settings()
        )
    )

client = chroma_http(CHROMA_HOST, CHROMA_PORT, CHROMA_TOKEN)
collections = client.list_collections()
print(collections)

Déployer sa propre instance

export nameSpace=your_namespace
domainRoot=ailab.infocepo.com

helm repo add chroma https://amikos-tech.github.io/chromadb-chart/
helm repo update

helm upgrade --install chromadb chroma/chromadb -n ${nameSpace} \
  --set chromadb.apiVersion="0.4.24" \
  --set ingress.enabled=true \
  --set ingress.hosts[0].host="${nameSpace}-chromadb.${domainRoot}" \
  --set ingress.hosts[0].paths[0].path=/ \
  --set ingress.hosts[0].paths[0].pathType=ImplementationSpecific \
  --set ingress.annotations."cert-manager\.io/cluster-issuer"=letsencrypt-prod \
  --set ingress.tls[0].secretName=${nameSpace}-chromadb.${domainRoot}-tls \
  --set ingress.tls[0].hosts[0]="${nameSpace}-chromadb.${domainRoot}"

kubectl -n ${nameSpace} patch ingress/chromadb --type=json \
  -p '[{"op":"add","path":"/metadata/annotations/nginx.ingress.kubernetes.io~1proxy-body-size","value":"0"}]'

Récupérer le token

kubectl --namespace ${nameSpace} get secret chromadb-auth \
  -o jsonpath="{.data.token}" | base64 --decode && echo

Registry

Exemple

curl -u "user:XXXXX" https://registry.ailab.infocepo.com:wait-2026-09/v2/_catalog

Exemple K8S

deploymentName=
nameSpace=

kubectl -n ${nameSpace} create secret docker-registry pull-secret \
  --docker-server=registry.ailab.infocepo.com:wait-2026-09 \
  --docker-username=user \
  --docker-password=XXXXX \
  --docker-email=contact@example.com

kubectl -n ${nameSpace} patch deployment ${deploymentName} \
  -p '{"spec":{"template":{"spec":{"imagePullSecrets":[{"name":"pull-secret"}]}}}}'

Stockage objet externe (S3)

Un bucket nommé ORG a été créé pour stocker des documents de démonstration.

RAG optimisation

  • Embeddings : BAAI/bge-m3
  • chunk_size=1000
  • chunk_overlap=100
  • LLM : qwen3.6
  • Pour les PDF mixtes : PDF → image → OCR / VLM peut améliorer les résultats.

Workflow

Autoroute directe : code → CI/CD → deploy → monitoring. Pas de comité, pas de responsable désigné — chaque étape se déclenche automatiquement si la précédente passe. Si ça rate, alerte directe sans passer par un humain sauf décision explicite de fallback.

Environnements

Hors production

  • Utiliser datalab
  • Support : canal Mattermost Offre IA
  • Le pseudo utilisateur doit respecter la convention interne
  • Demander si besoin un accès Linux + Kubernetes

Production (best-effort)

  • Publier le code applicatif, les secrets (format SOPS), le Dockerfile et le code infra (Helm ou manifests K8S) sur Git
  • Demander un namespace
  • Lire la documentation de surveillance associée

Limites de l’infrastructure

  • Les charges GPU sont intentionnellement limitées en journée.
  • Coût unitaire mesuré automatiquement (dashboards temps réel, pas Excel).

Cloud Lab & projets d’audit

Cloud Lab reference diagram

Le Cloud Lab fournit des scénarios reproductibles : audit d’infrastructure, migration cloud, automatisation, haute disponibilité.

Projet d’audit

ServerDiff.sh

Script Bash d’audit permettant de :

  • détecter les dérives de configuration,
  • comparer plusieurs environnements,
  • préparer un plan de migration ou de remédiation.
  • open-code-review - Outil de review de code open-source teste a l echelle Alibaba : pipeline deterministe + agent LLM, precise par ligne.. (16590 stars)

Exemple de migration cloud

Cloud migration diagram

Tâche Description Durée (jours)
Audit infrastructure 82 services, audit automatisé via ServerDiff.sh 1.5
Diagramme d’architecture Conception visuelle et documentation 1.5
Contrôles de conformité 2 clouds, 6 hyperviseurs, 6 To RAM 1.5
Installation plateforme cloud Déploiement des environnements cibles 1.0
Vérification de stabilité Premiers tests fonctionnels 0.5
Étude d’automatisation Identification des tâches répétitives 1.5
Développement des templates 6 templates, 8 environnements, 2 clouds / OS 1.5
Diagramme de migration Illustration du processus 1.0
Écriture du code de migration 138 lignes (voir MigrationApp.sh) 1.5
Stabilisation Validation de la reproductibilité 1.5
Benchmark cloud Comparaison vs legacy 1.5
Réglage des temps d’arrêt Calcul du downtime 0.5
Chargement VM 82 VMs : OS, code, 2 IP par VM 0.1
Total 15 jours.homme

Vérifications de stabilité (HA minimale)

Action Résultat attendu
Extinction d’un nœud Tous les services redémarrent automatiquement sur les autres nœuds
Extinction / redémarrage simultané de tous les nœuds Les services repartent correctement après reboot


Autonomie testée : vérifier que la migration fonctionne seule en tirant le repo et lançant le script, sans personne qui connaît le système de tête.

Architecture web & bonnes pratiques

Reference web architecture

Principes de conception :

  • privilégier une infrastructure simple, modulaire et flexible,
  • rapprocher le contenu du client (GDNS ou équivalent),
  • utiliser des load balancers réseau (LVS, IPVS),
  • comparer les coûts et éviter le vendor lock-in,
  • pour TLS :
    • HAProxy pour les frontends rapides,
    • Envoy pour les cas avancés (mTLS, HTTP/2/3),
  • pour le cache :
    • Varnish, Apache Traffic Server,
  • favoriser les stacks open-source,
  • utiliser files, buffers, queues et quotas pour lisser les pics.

Références

Comparatif des grandes plateformes cloud

Fonctionnalité Kubernetes OpenStack AWS Bare-metal HPC CRM oVirt
Outils de déploiement Helm, YAML, ArgoCD, Juju Ansible, Terraform, Juju CloudFormation, Terraform, Juju Ansible, Shell xCAT, Clush Ansible, Shell Ansible, Python
Méthode de bootstrap API API, PXE API PXE, IPMI PXE, IPMI PXE, IPMI PXE, API
Contrôle routeur Kube-router Router/Subnet API Route Table / Subnet API Linux, OVS xCAT Linux API
Contrôle firewall Istio, NetworkPolicy Security Groups API Security Group API Linux firewall Linux firewall Linux firewall API
Virtualisation réseau VLAN, VxLAN VPC VPC OVS, Linux xCAT Linux API
DNS CoreDNS DNS-Nameserver Route 53 GDNS xCAT Linux API
Load balancer Kube-proxy, LVS LVS Network Load Balancer LVS SLURM Ldirectord N/A
Stockage Local, cloud, PVC Swift, Cinder, Nova S3, EFS, EBS, FSx Swift, XFS, EXT4, RAID10 GPFS SAN NFS, SAN

Cette table sert de point de départ pour choisir la bonne stack selon :

  • le niveau de contrôle souhaité,
  • le contexte (on-prem, cloud public, HPC…),
  • les outils d’automatisation existants.

Haute disponibilité, HPC & DevSecOps

Haute disponibilité avec Corosync & Pacemaker

HA cluster architecture

Principes :

  • clusters multi-nœuds ou multi-sites,
  • fencing via IPMI,
  • provisioning PXE / NTP / DNS / TFTP,
  • pour 2 nœuds : attention au split-brain,
  • 3 nœuds ou plus recommandés en production.

Ressources fréquentes

  • multipath, LUNs, LVM, NFS,
  • processus applicatifs,
  • IP virtuelles, DNS, listeners réseau.

HPC

Overview of an HPC cluster

  • orchestration de jobs (SLURM ou équivalent),
  • stockage partagé haute performance,
  • intégration possible avec des workloads IA.

DevSecOps

DevSecOps reference design

  • CI/CD avec contrôles de sécurité intégrés,
  • observabilité dès la conception,
  • scans de vulnérabilité,
  • gestion des secrets,
  • policy-as-code.

News & trends

Formation & apprentissage

Liens cloud & IT utiles

Outils collaboratifs

Dépôts de code

Base de connaissance

Messagerie

  • contact interne / support selon les projets

SSO

À propos & contributions

Suggestions de corrections, améliorations de schémas, retours d’expérience ou nouveaux labs bienvenus.

Ce wiki a vocation à rester un laboratoire vivant pour l’IA, le cloud et l’automatisation.

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