ToolAI.io · GitHub 채널

GitHub에서 인기 있는 AI 프로젝트

LLM, 에이전트, MCP, RAG 및 코딩 분야의 활발한 오픈 소스 AI 리포지토리를 추적하고, 스타 수와 검증된 프로젝트 정보를 제공합니다.

공개 리포지토리 데이터

프로젝트 색인

27 프로젝트
ReMe: Memory Management Kit for Agents 스크린샷
에이전트 및 멀티 에이전트

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
Genkit: Open-Source Framework for Agentic AI Applications 스크린샷
에이전트 및 멀티 에이전트

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
EvalScope 스크린샷
RAG 및 지식 시스템

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
OpenViking: Self-evolving Context Database for AI Agents 스크린샷
에이전트 및 멀티 에이전트

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
Headroom: Context Compression Layer for AI Agents 스크린샷
MCP 및 도구 호출

Headroom: Context Compression Layer for AI Agents

headroomlabs-ai/headroom

Headroom is a local-first context compression layer that reduces token usage for AI agents by compressing tool outputs, logs, files, and RAG chunks before they reach the LLM. It offers library, proxy, and MCP server modes and claims to preserve answer accuracy while cutting tokens by 15-95% depending on workload.

★ 65K⑂ 4.9KPython
Apache-2.0Q98
Potpie 스크린샷
에이전트 및 멀티 에이전트

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
BISHENG 스크린샷
에이전트 및 멀티 에이전트

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
promptfoo 스크린샷
에이전트 및 멀티 에이전트

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
LlamaIndex 스크린샷
에이전트 및 멀티 에이전트

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
Graphiti: Build Temporal Context Graphs for AI Agents 스크린샷
에이전트 및 멀티 에이전트

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
에이전트 및 멀티 에이전트

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
에이전트 및 멀티 에이전트

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

2 / 3페이지 · 프로젝트 27개

최근 업데이트

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

별이 가장 많은

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