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Projets d’IA populaires sur GitHub

Suivez les dépôts AI open source actifs dans les domaines des LLM, des agents, de MCP, de RAG et du code, avec leur nombre d’étoiles et des informations vérifiées sur les projets.

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39 Projets
Capture d’écran de Potpie
Agents et multi-agents

Potpie

potpie-ai/potpie

Potpie transforms a codebase and software development lifecycle into a living context graph for AI agents, indexing code, structure, decisions, source history, and team knowledge to enable context-aware coding, planning, and debugging.

★ 5,5K⑂ 642Python
Apache-2.0Q98
Capture d’écran de BISHENG
Agents et multi-agents

BISHENG

dataelement/bisheng

BISHENG is an open-source LLM application DevOps platform designed for next-generation enterprise AI applications, offering comprehensive features like GenAI workflow orchestration, RAG, Agent management, and enterprise-grade system controls.

★ 11,8K⑂ 1,9KPython
Apache-2.0Q98
Capture d’écran de promptfoo
Agents et multi-agents

promptfoo

promptfoo/promptfoo

An open-source CLI and library for evaluating, testing, and red-teaming LLM applications, RAGs, and agents. It enables side-by-side model comparison and vulnerability scanning with declarative configs and CI/CD integration.

★ 23,9K⑂ 2,2KTypeScript
MITQ98
Capture d’écran de LlamaIndex
Agents et multi-agents

LlamaIndex

run-llama/llama_index

LlamaIndex is an open-source Python data framework for building LLM applications with private data, offering data connectors, indexing structures, and advanced retrieval interfaces. It is complemented by LlamaParse, an enterprise platform for agentic OCR, parsing, extraction, and indexing.

★ 51,4K⑂ 7,9KPython
MITQ98
Capture d’écran de Graphiti: Build Temporal Context Graphs for AI Agents
Agents et multi-agents

Graphiti: Build Temporal Context Graphs for AI Agents

getzep/graphiti

Graphiti is an open-source Python framework by Zep for building and querying temporal context graphs. It autonomously transforms structured and unstructured data into a dynamic knowledge graph that tracks fact validity over time, preserving provenance and enabling hybrid retrieval for AI agents.

★ 29,5K⑂ 3KPython
Apache-2.0Q98
Agents et multi-agents

Opik: Open-Source LLM Observability, Evaluation and Agent Tracing

comet-ml/opik

Opik is an Apache-2.0-licensed platform for tracing, evaluating, debugging and monitoring LLM applications, RAG systems and multi-step agent workflows. It supports self-hosting, a hosted Comet.com option, client SDKs, a REST API, automated evaluations, prompt experimentation and production dashboards.

★ 21,1K⑂ 1,7KPython
Apache-2.0Q98
Agents et multi-agents

RAGFlow

infiniflow/ragflow

RAGFlow is an open-source Retrieval-Augmented Generation engine that combines document ingestion, retrieval, grounded citations, configurable language and embedding models, and agent capabilities to provide context for LLM applications.

★ 86,7K⑂ 10,2KGo
Apache-2.0Q98
MCP et appels d’outils

Dify: Collaborative Platform for Agentic Workflows and RAG Applications

langgenius/dify

Dify is an LLM application development platform for visually building workflows, RAG pipelines, and tool-using agents. It combines model management, prompt development, observability, and application APIs in a collaborative workspace that can be used as a hosted service or self-hosted.

★ 151,2K⑂ 23,9KTypeScript
NOASSERTIONQ98
Agents et multi-agents

PageIndex: Vectorless, Reasoning-Based RAG for Long Documents

vectifyai/pageindex

PageIndex is a Python project for creating hierarchical document indexes and performing reasoning-based retrieval without a vector database or artificial chunking. It supports self-hosted processing of PDF and Markdown documents, with optional agentic RAG examples and hosted MCP/API services.

★ 35K⑂ 3,1KPython
MITQ98
Capture d’écran de LightRAG: Simple and Fast Retrieval-Augmented Generation
RAG et systèmes de connaissances

LightRAG: Simple and Fast Retrieval-Augmented Generation

hkuds/lightrag

A lightweight, graph-based retrieval-augmented generation (RAG) framework that uses a dual-layer architecture combining knowledge graphs and vector embeddings to deliver efficient indexing, low-cost incremental updates, and high-quality contextual retrieval.

★ 38,4K⑂ 5,4KPython
MITQ98
Ingénierie des données et pipelines

aistore

NVIDIA/aistore

AIStore: scalable storage for AI applications

★ 1,9K⑂ 277Go
MITQ94
Agents et multi-agents

skills

NVIDIA/skills

Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end.

★ 2,7K⑂ 304Python
Apache-2.0Q98

Page 3 / 4 · 39 projets

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