ToolAI.io · GitHubチャンネル

GitHubで注目を集めているAIプロジェクト

LLM、エージェント、MCP、RAG、コーディング分野の活発なオープンソース AI リポジトリを追跡し、スター数と検証済みのプロジェクト情報を提供します。

公開リポジトリのデータ

プロジェクトインデックス

149 プロジェクト
Plano: AI-Native Proxy Server and Data Plane for Agentic Apps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

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

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のスクリーンショット
MCPとツール呼び出し

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のスクリーンショット
MCPとツール呼び出し

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のスクリーンショット
MCPとツール呼び出し

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

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

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

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

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

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
Headroom: Context Compression Layer for AI Agentsのスクリーンショット
MCPとツール呼び出し

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 / 13ページ · 149件のプロジェクト

最近更新

ComfyUIComfy-Org/ComfyUI★ 136.7K CrewAICrewAIInc/crewAI★ 59.5K Microsoft Agent Frameworkmicrosoft/agent-framework★ 14K TRLhuggingface/trl★ 19.5K mcp-usemcp-use/mcp-use★ 10.7K OpenLITopenlit/openlit★ 2.8K

スター数が多い

ECCaffaan-m/ECC★ 248.8K Hermes Agentnousresearch/hermes-agent★ 227.1K tensorflowtensorflow/tensorflow★ 198.8K AutoGPTSignificant-Gravitas/AutoGPT★ 187.1K ollamaollama/ollama★ 180.2K markitdown — Document conversion and extractionmicrosoft/markitdown★ 174.9K