CAMEL-AI
Free tierFinding the Scaling Laws of Agents
Free tier available·All audiences·Open source
Key strengths
Multi-agent frameworkData generationWorld simulationTask automationScalability to millions of agentsResearch ecosystem with open benchmarks and datasetsReinforcement learning integrationWorkforce modeling with roles and hierarchiesEvolvability via data generation and environment interaction
Free tier + paid plans
Founded 2023
Self-hostable
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Documentation & Developer Resources
CAMEL-AI is an open-source project available for self-hosting, giving developers full access to the underlying codebase and architecture.
Key technical resources include:
- GitHub Repository — Source code, issue tracking, and contribution guidelines (17,810+ stars)
- Open Benchmarks & Datasets — Part of the research ecosystem; publicly available for reproducibility and evaluation
- Integration Layer — Pre-built connectors for 43+ services across categories:
- Communication: Gmail, Slack, WhatsApp, WeChat Official, Dingtalk, Lark, Outlook Mail, IMAP Mail, Resend
- Productivity: Notion, Google Calendar, Google Drive, LinkedIn
- Research & Data: Arxiv, PubMed, Semantic Scholar, HuggingFace, OpenBB, Wolfram Alpha
- Web & Automation: Playwright, PyAutoGUI, Crawl4AI, SearxNG Search, MarkItDown, MinerU
- AI & ML: Vertex AI, OpenAI Image, Jina Reranker, Minimax MCP, Klavis, Dappier
- Developer & Commerce: GitHub, Stripe, Zapier, EdgeOne Pages MCP
- Geospatial: Google Maps
- Graph & Visualization: NetworkX
- 3D & Media: Meshy
- Scientific Computing: Bohrium
- Vector Storage: Chroma
- Social: Twitter, Reddit
- Monitoring: Pulse MCP
The framework supports reinforcement learning, workforce role hierarchies, and evolvable agent architectures driven by data generation and environment interaction.