AIエージェント
goclaw
OpenClaw rebuilt in Go — multi-tenant AI agent teams with 5-layer security in a single binary.
★ 3.6k スターCC BY-NC 4.0
ガイドを見る →octomindは、Muvonが公開しているオープンソースのAIエージェントプロジェクトです（GitHub: Muvon/octomind）。GitHubスターは151、フォークは12で、Apache-2.0ライセンスの下で公開されています。GitHubでの最終更新は2026年10月8日です。
An MCP-native AI coding agent and runtime in a single binary.
Decide what you want the project to do before installing anything.
Grab the source and skim the README for setup requirements.
Install dependencies and add any API keys or settings it needs.
Launch it and follow the example workflow from the docs.
One executable, zero runtime deps.
Not tied to one provider.
Tools via the Model Context Protocol.
Terminal, CI, or daemon.
Fast and reliable.
Open and commercially friendly.
Download the source and move into the project folder.
git clone https://github.com/Muvon/octomind.git
cd octomindCompile an optimized release build with Cargo.
cargo build --releaseTreat these as starting points - the README documents the exact commands.
cargo run -- --helpIt is an open-source project at Muvon/octomind with 12 forks. Check the repo's contributors and recent commits to judge how active maintenance is.
Yes - it is Apache-2.0 licensed, so it is free for commercial use with attribution.
The agent is free; the model it calls usually needs your own API key or a local model.
Its differentiators are the single Rust binary and MCP-native tooling. It is much earlier-stage than established coding agents - choose it for the architecture, not the maturity.
Clone the repo, read the README's quickstart, and run the provided example - most projects get you to a first result in minutes.
OpenClaw rebuilt in Go — multi-tenant AI agent teams with 5-layer security in a single binary.
ArcBox: a fast macOS-native container and VM runtime — a drop-in Docker engine with agent sandboxes
Mobile app automation and verification built for AI coding agents — CLI, MCP server, and Node API
An Agent OS with interview-gated, budgeted evolution — one MCP server across 14 agent runtimes.
Native MCP plugin for x64dbg — let an AI drive the debugger: breakpoints, stepping, memory, registers
Build, run, and manage full agent platforms — not just single agents.
LibreAIカタログに掲載されたAIエージェントプロジェクトの中で最もスターの多いもの — octomindが合わなかった場合に検討したい、現実的な候補リストです。
A personal AI that really does things — on any OS, with your data staying yours.
An agentic skills framework & software development methodology that works.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The agent that grows with you — a Python framework for adaptive AI agents.
DeepSeek's plugin-based agent harness where everything is a plugin.
カタログの中でoctomindとスター数が近いAIエージェントプロジェクト — 前後の棚もそのまま見て回れます。
A complete evaluation toolkit for AI agents.
A benchmark for comparing AI agent memory systems head-to-head.
WorkArena: ServiceNow's benchmark for how well web agents handle everyday knowledge-work tasks.
A voice-driven multi-agent assistant that orchestrates in realtime.
Benchmark computer-use agents on long, real-world desktop tasks.
A frozen snapshot of the original BabyAGI autonomous-agent experiment.