AIエージェント
CAMEL
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
★ 17.8k スターApache-2.0
ガイドを見る →InternAgentは、InternScience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: InternScience/InternAgent）。GitHubスターは1,444、フォークは130で、Custom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7月29日です。
Agentic framework for long-horizon autonomous scientific discovery.
Set the scientific question.
It surveys literature autonomously.
The AI proposes experiments.
Long-horizon autonomous research.
Works for weeks, not minutes.
AI proposes new ideas.
Automatic literature review.
Runs its own experiments.
Built for research labs.
One system, many capabilities.
Download the source and move into the project folder.
git clone https://github.com/InternScience/InternAgent.git
cd InternAgentEvery 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 commandInternScience, at InternScience/InternAgent, with 130 forks.
It uses a custom license, so check the repo’s terms.
Promising but verify everything; it assists researchers, not replaces them.
Long-horizon runs need serious model API budget.
Scientific discovery broadly; see the examples.
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai
A control plane with a durable state kernel that keeps long-horizon agents moving across sessions.
A lean, HuggingFace-native RL framework for agentic research.
A benchmark testing whether agents can solve long-horizon coding tasks.
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 — InternAgent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InternAgent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。
Self-hosted SERP API: browser-rendered search from six engines.
Google's code-first TypeScript toolkit for building AI agents.
Build AI agents in a no-code visual builder or TypeScript SDK, fully synced.
Open source ETL/ELT you deploy on your own servers or cloud.
Compression gateway that cuts AI coding agents' token bills up to 85%.
Tradememory-protocol — decision audit trail + persistent memory for ai trading, open-so...