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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

27 Projets
Capture d’écran de EvalScope
RAG et systèmes de connaissances

EvalScope

modelscope/evalscope

A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.

★ 3,2K⑂ 440Python
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 ReMe: Memory Management Kit for Agents
Agents et multi-agents

ReMe: Memory Management Kit for Agents

agentscope-ai/reme

ReMe is a local-first memory layer for AI agents that transforms conversations and resources into readable, editable, and searchable Markdown memory files.

★ 3,3K⑂ 283Python
Apache-2.0Q98
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 Genkit: Open-Source Framework for Agentic AI Applications
Agents et multi-agents

Genkit: Open-Source Framework for Agentic AI Applications

genkit-ai/genkit

Genkit is an open-source framework built and used in production by Google's Firebase for developing full-stack, AI-powered applications. It provides cross-language SDKs and unified APIs for integrating various AI models to build chatbots, automations, and recommendation systems.

★ 6,3K⑂ 816TypeScript
Apache-2.0Q98
Capture d’écran de LanceDB
RAG et systèmes de connaissances

LanceDB

lancedb/lancedb

An open-source, developer-friendly embedded retrieval library and multimodal AI lakehouse designed for fast, scalable, and production-ready vector search, built on the Lance columnar format.

★ 11,1K⑂ 994Rust
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 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 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 OpenViking: Self-evolving Context Database for AI Agents
Agents et multi-agents

OpenViking: Self-evolving Context Database for AI Agents

volcengine/openviking

OpenViking is an open-source context database that unifies agent memory, knowledge RAG, and skills into a single virtual filesystem, enabling AI agents to browse and retrieve context deterministically using a file-system-like protocol.

★ 28K⑂ 2,2KPython
AGPL-3.0Q98
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 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 1 / 3 · 27 projets

Récemment mis à jour

codex — Coding agent and developer workflowsopenai/codex★ 106,5K NemoClaw — Agent runtime and deployment toolingNVIDIA/NemoClaw★ 22,2K XERJxerj-org/xerj★ 1,4K LangWatchlangwatch/langwatch★ 3,5K OrchestKityonatangross/orchestkit★ 222 hal0hal0ai/hal0★ 67

Les plus étoilés

Hermes Agentnousresearch/hermes-agent★ 227,1K markitdown — Document conversion and extractionmicrosoft/markitdown★ 174,2K skills — Reusable agent skills and workflowsanthropics/skills★ 169,9K Hugging Face Transformershuggingface/transformers★ 163,3K Firecrawlfirecrawl/firecrawl★ 161,1K LangChainlangchain-ai/langchain★ 143,6K