core
AI agent microservice
Links
README
From the repo.
[!WARNING] Version 2 is unstable alpha! This new version is still under heavy development and needs work before it becomes stable. Expect breaking changes, rough edges, and incomplete features. Not recommended for production use yet.
Cheshire Cat AI (Stregatto)
Best framework to learn how AI agents work.
It is designed bottom up to be easy to understand and easy to extend via vibe coding / agentic engineering.
Main use case of the Cat is education & research. Many companies and institutions use it to publish agents on the web.
Give the project a star ⭐ if you like creative cats!
Quickstart
In an empty folder:
uv init --bare
uv add cheshire-cat-ai
uv run ccat
- UI on localhost:1865
- REST API playground on localhost:1865/docs
Docs and Resources
Roadmap & Contributing
Roadmaps are for amateurs.
If you have a proposal, open an issue and only do a PR if the issue is assigned to you. Read the contributor guide.
License and trademark
Code is licensed under GPL3.
The Cheshire Cat AI logo and name are property of Piero Savastano (founder and maintainer).
Which way to go?
"Would you tell me, please, which way I ought to go from here?"
"That depends a good deal on where you want to get to," said the Cat.
"I don't much care where--" said Alice.
"Then it doesn't matter which way you go," said the Cat.
(Alice's Adventures in Wonderland - Lewis Carroll)
Collected info
- ★ 3,089 stars
- ⎇ 410 forks
- Language: Python
- Source updated: 9/21/2026
Config for your environment
Replace {MCP_ENDPOINT_URL} with this MCP’s endpoint URL (from its repo or docs above). No API key — you connect directly.
Tool
OS
Config file: ~/.cursor/mcp.json
{
"mcpServers": {
"mcp-server": {
"url": "{MCP_ENDPOINT_URL}"
}
}
}Paste into mcpServers in the config file. Restart Cursor after saving.
If this MCP is also published on mcpchannel.ai, you can subscribe from Browse and use the gateway config there instead.