Cloudbase Agent Python
- 417 repo stars
- Updated August 4, 2026
- TencentCloudBase/awesome-cloudbase-examples
Build production AI agent backends using CloudBase Agent SDK with FastAPI, memory systems, tools, and observability.
About
Build production-ready AI agent backends using the CloudBase Agent Python SDK. Create agents with LangGraph, CrewAI, or LlamaIndex; serve them via FastAPI with AG-UI streaming and OpenAI-compatible endpoints; add bash/filesystem/MCP tools and memory layers (in-memory, TDAI, MySQL, MongoDB); enable observability via OpenTelemetry/Langfuse. Reach for this when building a chatbot backend, agent API, or human-in-the-loop workflow system.
- CloudBase Agent SDK
- FastAPI integration
- LangGraph/CrewAI support
- Tool management
- Memory systems
Cloudbase Agent Python by the numbers
- Data as of Aug 5, 2026 (Skillselion catalog sync)
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| repo stars | ★ 417 |
|---|---|
| Last updated | August 4, 2026 |
| Repository | TencentCloudBase/awesome-cloudbase-examples ↗ |
What it does
Build production AI agent backends using CloudBase Agent SDK with FastAPI, memory systems, tools, and observability.
What you get
- Agent backend
- API service
- Tool integration
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