Cheshire Cat AI Core is an open-source framework for building customizable AI agents as scalable microservices, designed to integrate conversational intelligence into applications through an API-first architecture. It allows developers to create advanced AI assistants that can interact through WebSockets, REST APIs, and embedded chat interfaces, making it suitable for both backend services and user-facing applications. The framework includes built-in support for retrieval-augmented generation using vector databases such as Qdrant, enabling agents to incorporate external knowledge and documents into their responses. It is highly extensible through a plugin system that supports custom tools, event hooks, and workflows, giving developers fine-grained control over agent behavior and interactions. Cheshire Cat also supports multi-user environments with granular permissions and identity provider integration, making it suitable for enterprise use cases.

Features

  • API-first architecture for conversational AI integration
  • Built-in retrieval augmented generation with vector databases
  • Plugin system for extensibility and customization
  • WebSocket and REST API communication support
  • Multi-user management with granular permissions
  • Docker-based deployment for portability and scalability

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License

GNU General Public License version 3.0 (GPLv3)

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Additional Project Details

Programming Language

Python

Related Categories

Python Artificial Intelligence Software

Registered

2026-03-18