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Nouveaux projets AI sur GitHub

Découvrez les nouveaux projets AI open source ajoutés sur GitHub, avec les informations du dépôt, les instructions de configuration, les licences et les ressources associées.

Données du dépôt public

Index du projet

75 Projets
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 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 BrowserOS: The Open-Source Agentic Browser
Agents et multi-agents

BrowserOS: The Open-Source Agentic Browser

browseros-ai/browseros

BrowserOS is a free, open-source Chromium fork with a built-in AI agent, accompanied by BrowserOS neo, a secondary browser designed specifically for AI agents. It enables local-first browser automation, supporting multiple LLM providers and MCP-compatible tools.

★ 12,9K⑂ 1,4KTypeScript
AGPL-3.0Q98
Capture d’écran de NVIDIA NeMo Speech
LLM et modèles de fondation

NVIDIA NeMo Speech

nvidia-nemo/speech

A scalable generative AI framework built for researchers and PyTorch developers working on Automatic Speech Recognition (ASR), Text-to-Speech (TTS), and Speech LLMs.

★ 17,9K⑂ 3,5KPython
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 Agent Development Kit (ADK) 2.0 by Google
Agents et multi-agents

Agent Development Kit (ADK) 2.0 by Google

google/adk-python

An open-source, code-first Python framework for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

★ 21K⑂ 3,8KPython
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 AgentScope 2.0
MCP et appels d’outils

AgentScope 2.0

agentscope-ai/agentscope

A production-ready, easy-to-use agent framework designed to leverage the reasoning and tool-use abilities of increasingly agentic LLMs without constraining them with strict prompts or opinionated orchestrations.

★ 28,6K⑂ 3,3KPython
Apache-2.0Q98
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
Capture d’écran de Vibe-Trading: Your Personal Trading Agent
MCP et appels d’outils

Vibe-Trading: Your Personal Trading Agent

hkuds/vibe-trading

An open-source Python-based AI agent framework designed to provide comprehensive trading, backtesting, and quantitative finance capabilities via a single command.

★ 30,1K⑂ 4,8KPython
MITQ98
Capture d’écran de QwenPaw
MCP et appels d’outils

QwenPaw

agentscope-ai/qwenpaw

A self-hostable personal AI assistant that runs locally or in the cloud, featuring multi-channel connectivity, extensible skills, and a three-layer memory system.

★ 33,9K⑂ 3KPython
Apache-2.0Q98
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

Page 2 / 7 · 75 projets

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