AIエージェント
agentops
Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI …
★ 5.9k スターMIT
ガイドを見る →swarmsは、kyegomez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: kyegomez/swarms）。GitHubスターは7,229、フォークは1,036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3日です。
The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai
Research, coding, browsing, or ops — agents work best with a clear goal.
From no-code builders to code-first SDKs, match complexity to the task.
Web search, code execution, and APIs are what make agents useful.
Watch the trace, approve consequential actions, iterate.
Machine learning is baked into the core workflow, not bolted on.
Traces show exactly what the agent did and why.
Approval gates for actions that matter.
Long-term memory across sessions, not goldfish chat.
Specialized agents collaborate on bigger jobs.
Agents call real tools: browsers, terminals, APIs.
Download the source and move into the project folder.
git clone https://github.com/kyegomez/swarms.git
cd swarmsEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandAlso on this shelf: x402 — a payments protocol for the internet — built on plain HTTP. The AI Agents shelf also holds ag2 — the open-source AgentOS, formerly known as AutoGen. Also on this shelf: PyRIT — Microsoft's open framework for red-teaming generative AI systems.
It is an open-source project at kyegomez/swarms with 1,036 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Apache 2.0 licensed — commercial use allowed with attribution.
Model API bills dominate; self-hosted stacks cut that sharply.
For bounded tasks with supervision, yes. Fully autonomous money-moves still need guardrails.
Sandboxing, approval gates, and least-privilege credentials.
Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI …
AdalFlow: The library to build & auto-optimize LLM applications.
100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.
Enterprise-grade AI agent framework with multi-provider LLM management, secure knowledge bases and high-precision RAG, visual workflow orchestration, and mul…
Swarm — OpenAI's experimental framework for lightweight multi-agent orchestration with agents and handoffs, MIT
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
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 — swarms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swarms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。
Voyager — the open-ended embodied Minecraft agent that writes its own skills and keeps learning for life.
Product Management skills framework built on battle-tested methods for Claude Code, Cowork, Codex, and AI agents.
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Open-source 7B vision-language-action model and codebase for generalist robot manipulation.
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