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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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143 Projets
Agents et multi-agents

Embabel Agent Framework

embabel/embabel-agent

Embabel is an open-source JVM framework for building strongly typed agentic applications that combine LLM interactions, regular code, tools, and domain models. It supports dynamic planning and can be used from Kotlin or Java.

★ 4,3K⑂ 417Kotlin
Apache-2.0Q98
Capture d’écran de Alith
Agents et multi-agents

Alith

0xlazai/alith

A simple, composable, and high-performance AI agent framework designed for Web3 and Crypto, enabling developers to build, deploy, and manage on-chain AI agents with multi-language support and LazAI Gateway integration.

★ 44⑂ 31Rust
Apache-2.0Q88
Capture d’écran de Metronix Memory
MCP et appels d’outils

Metronix Memory

mtrnix/metronix-memory

Self-hosted memory infrastructure for AI agents featuring MCP-native integration, hybrid RAG, a temporal knowledge graph, and an ontology layer, designed for local-model friendliness and durable, agent-scoped context.

★ 39⑂ 7Python
Apache-2.0Q86
Capture d’écran de LLMix
Agents et multi-agents

LLMix

sno-ai/llmix

A production LLM call layer for AI agents and tools that wraps existing provider SDKs with config-driven model presets, caching, resilience patterns, and key rotation across Python, TypeScript, and Rust.

★ 131⑂ 28Python
Apache-2.0Q91
Agents et multi-agents

WuKongIM

wukongim/wukongim

More than just IM 不只是即时通讯(IM)

★ 4,9K⑂ 702Go
Licence non détectéeQ79
Capture d’écran de SkillOpt — Skill optimization for agents
Agents et multi-agents

SkillOpt — Skill optimization for agents

microsoft/SkillOpt

SkillOpt is a text-space optimizer that trains reusable natural-language skills for frozen LLM agents through trajectory-driven edits, validation-gated updates, and deployable best_skill.md artifacts

★ 16,2K⑂ 1,5KPython
MITQ86
Capture d’écran de DeepChat - Open-Source Local-First AI Agent Desktop Client
MCP et appels d’outils

DeepChat - Open-Source Local-First AI Agent Desktop Client

thinkinaixyz/deepchat

DeepChat is an open-source, local-first AI agent desktop client built in TypeScript and Electron. It integrates cloud LLMs, local models, MCP services, installable Skills, ACP agents, and remote control for messaging apps, following the Tape.systems philosophy to keep agent sessions recoverable and inspectable.

★ 6,2K⑂ 712TypeScript
Apache-2.0Q98
Capture d’écran de Neo.mjs
MCP et appels d’outils

Neo.mjs

neomjs/neo

A self-evolving software organism that combines a multi-threaded frontend application engine with an end-to-end AI engineering team operating via cross-model swarm coordination, persistent memory, and runtime application embodiment.

★ 3,3K⑂ 231JavaScript
MITQ98
Capture d’écran de LangChain4j
MCP et appels d’outils

LangChain4j

langchain4j/langchain4j

An idiomatic, open-source Java library for building LLM-powered applications on the JVM, offering a unified API over popular LLM providers and vector stores with support for tool calling, MCP, agents, and RAG.

★ 12,8K⑂ 2,4KJava
Apache-2.0Q98
Capture d’écran de Pydantic AI
Agents et multi-agents

Pydantic AI

pydantic/pydantic-ai

A Python agent framework designed to help developers build production-grade applications and workflows with Generative AI, emphasizing type-safety, structured validation, and ergonomic design.

★ 19,1K⑂ 2,5KPython
MITQ98
Capture d’écran de Graphify: Turn Any Codebase into a Queryable Knowledge Graph
MCP et appels d’outils

Graphify: Turn Any Codebase into a Queryable Knowledge Graph

graphify-labs/graphify

Graphify is a local-first CLI tool and AI assistant skill that parses codebases, docs, SQL schemas, and PDFs into a queryable knowledge graph using deterministic AST parsing, eliminating the need for vector stores or embeddings.

★ 104K⑂ 10,1KPython
Apache-2.0Q98
Capture d’écran de Hermes Agent
Agents et multi-agents

Hermes Agent

nousresearch/hermes-agent

A self-improving AI agent built by Nous Research that features a closed learning loop, multi-platform messaging integration, and flexible model provider switching. It is designed to run on low-cost VPS, GPU clusters, or serverless infrastructure.

★ 227,1K⑂ 44,4KPython
MITQ98

Page 6 / 12 · 143 projets

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