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.

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프로젝트 색인

149 프로젝트
Plano: AI-Native Proxy Server and Data Plane for Agentic Apps 스크린샷
에이전트 및 멀티 에이전트

Plano: AI-Native Proxy Server and Data Plane for Agentic Apps

katanemo/plano

Plano is an AI-native proxy server and data plane built in Rust that centralizes LLM routing, agent orchestration, observability, and guardrails, allowing developers to focus on core agent logic rather than infrastructure plumbing.

★ 7K⑂ 484Rust
Apache-2.0Q98
TruLens: Evaluation and Tracking for LLM Experiments and AI Agents 스크린샷
에이전트 및 멀티 에이전트

TruLens: Evaluation and Tracking for LLM Experiments and AI Agents

truera/trulens

TruLens is an open-source, OpenTelemetry-native evaluation and tracking library for LLM applications and AI agents, enabling developers to trace every step, score performance with LLM judges, and compare app versions.

★ 3.5K⑂ 319Python
MITQ98
trigger.dev 스크린샷
MCP 및 도구 호출

trigger.dev

triggerdotdev/trigger.dev

An open-source platform for building and deploying fully-managed AI agents and workflows in TypeScript, featuring long-running tasks, retries, queues, observability, and elastic scaling.

★ 15.9K⑂ 1.4KTypeScript
Apache-2.0Q98
QwenPaw 스크린샷
MCP 및 도구 호출

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
Atmosphere: Real-Time Transport and Governance Framework for JVM AI Agents 스크린샷
MCP 및 도구 호출

Atmosphere: Real-Time Transport and Governance Framework for JVM AI Agents

atmosphere/atmosphere

Atmosphere is a Java-based real-time framework for building, streaming, and governing AI agents. It provides a unified broadcaster pipeline for WebSocket, SSE, long-polling, and gRPC, alongside built-in governance, human-in-the-loop workflows, and multi-protocol support including MCP, A2A, and AG-UI.

★ 3.8K⑂ 760Java
Apache-2.0Q98
OpenAgents 스크린샷
에이전트 및 멀티 에이전트

OpenAgents

openagents-org/openagents

An open-source platform providing a collaborative operating system for AI agents, enabling unified workspace management, multi-agent coordination, and network integration without vendor lock-in.

★ 4K⑂ 403TypeScript
Apache-2.0Q98
Flyte 2: Dynamic, Resilient AI Orchestration 스크린샷
에이전트 및 멀티 에이전트

Flyte 2: Dynamic, Resilient AI Orchestration

flyteorg/flyte

Flyte is an open-source orchestration framework for reliably building, scaling, and deploying machine learning pipelines, models, and agents using pure Python.

★ 7.2K⑂ 861Go
Apache-2.0Q98
Open SWE: An Open-Source Asynchronous Coding Agent by LangChain 스크린샷
에이전트 및 멀티 에이전트

Open SWE: An Open-Source Asynchronous Coding Agent by LangChain

langchain-ai/open-swe

Open SWE is an open-source framework for building internal coding agents. Built on LangGraph and Deep Agents, it provides cloud sandboxes, Slack/Linear/GitHub invocation, subagent orchestration, and automatic PR creation for engineering organizations.

★ 10.5K⑂ 1.2KPython
MITQ98
BrowserOS: The Open-Source Agentic Browser 스크린샷
에이전트 및 멀티 에이전트

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
Honcho 스크린샷
에이전트 및 멀티 에이전트

Honcho

plastic-labs/honcho

Memory infrastructure for building stateful AI agents that understand changing people, agents, groups, projects, and ideas over time.

★ 6.5K⑂ 788Python
AGPL-3.0Q98
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

8 / 13페이지 · 프로젝트 149개

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