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GitHubの新しいAIプロジェクト

GitHubに新しく追加されたオープンソースAIプロジェクトを、リポジトリ情報、セットアップ手順、ライセンス、関連リソースとともに見つけましょう。

公開リポジトリのデータ

プロジェクトインデックス

27 プロジェクト
EvalScopeのスクリーンショット
RAGとナレッジシステム

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
Neo.mjsのスクリーンショット
MCPとツール呼び出し

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
ReMe: Memory Management Kit for Agentsのスクリーンショット
エージェントとマルチエージェント

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
Potpieのスクリーンショット
エージェントとマルチエージェント

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
Genkit: Open-Source Framework for Agentic AI Applicationsのスクリーンショット
エージェントとマルチエージェント

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
LanceDBのスクリーンショット
RAGとナレッジシステム

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
BISHENGのスクリーンショット
エージェントとマルチエージェント

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
LangChain4jのスクリーンショット
MCPとツール呼び出し

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
promptfooのスクリーンショット
エージェントとマルチエージェント

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
OpenViking: Self-evolving Context Database for AI Agentsのスクリーンショット
エージェントとマルチエージェント

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
Graphiti: Build Temporal Context Graphs for AI Agentsのスクリーンショット
エージェントとマルチエージェント

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
LightRAG: Simple and Fast Retrieval-Augmented Generationのスクリーンショット
RAGとナレッジシステム

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

1 / 3ページ · 27件のプロジェクト

最近更新

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

スター数が多い

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