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Open source and customizable AI architecture

License: Apache License 2.0

Python 35.54% TypeScript 51.20% HTML 0.43% Dockerfile 0.48% SCSS 12.35%

cheshire-cat's Introduction


Logo

Cheshire-Cat (Stregatto)

Customizable AI architecture

What is this?

If you want to build a custom AI on top of a language model, the Cat can help you:

  • Language model agnostic (works with OpenAI, Cohere, HuggingFace models, custom)
  • Long term memory
  • Can use external tools (APIs, custom python code, other models)
  • Can ingest documents (.pdf, .txt)
  • Extendible via plugins
  • 100% dockerized

Wikipedia picture of the Cheshire Cat

"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)

Quickstart

You just need docker and docker-compose installed on your system. Clone the repo and cd into it. Create a .env file containing:

OPENAI_KEY=<your-openai-key>

After that you can run:

docker-compose up

The first time (only) it will take several minutes, as the images occupy a few GBs.

  • Chat with the Cheshire Cat on localhost:3000.
  • You can also interact via REST API and try out the endpoints on localhost:1865/docs

When you're done, remember to CTRL+c in the terminal and

docker-compose down

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Docs and Resources

Roadmap

  • QA / tests
  • docs and tutorials
  • online demo
  • voice interface
  • more plugins shipped by default
  • (surprise!!!) PURR

Contributing

If you have a suggestion that would make this better, open an issue and we can reason about it. If you want to contribute code, fork the repo and create a pull request.

  1. Try out the Cat
  2. Fork the Project
  3. Create your Feature Branch (git checkout -b feature/AmazingFeature)
  4. Commit your Changes (git commit -m 'Add some AmazingFeature')
  5. Push to the Branch (git push origin feature/AmazingFeature)
  6. Open a Pull Request ((if it contains lots of code, please discuss it beforehand opening a issue))

You can start simply by:

  • Making tutorials and docs
  • Sharing on social media

Don't forget to give the project a star!โญ Thanks again!๐Ÿ™

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