cheshire-cat-ai/core

Health v2 · maintenance only

Adoption not part of the score

3085 stars · 409 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Cheshire Cat AI is a Python framework and microservice for building conversational AI agents with LLMs, tools, RAG, and plugins, served with a built-in web UI and REST API. It is designed bottom-up for education and research, letting users learn how AI agents work through a small set of primitives (Agent, Tool, Directive, Hook).

Use cases

• build a conversational ai chatbot with tools
• learn how ai agents work
• self-host an llm assistant with rag memory
• create a plugin-based ai agent microservice
• add function calling tools to an llm chatbot
• publish an ai agent on the web for research or teaching
• connect an mcp client to a chatbot

When to choose

• you want a simple, hackable Python framework to learn or teach agent concepts
• you need a self-hosted chatbot microservice with REST API and web UI out of the box
• you want to extend an agent via plugins, tools, and hooks with minimal boilerplate

When to avoid

• you need a production-stable system - version 2 is an unstable alpha with breaking changes
• you need a lightweight embedded agent library rather than a full microservice
• GPL-3.0 licensing is incompatible with your project

Facets

framework · maturity experimental

agent-framework chatbot rag llm-inference mcp web-framework plugin-system artificial-intelligence large-language-models chatbots education developer-tools python self-hosted cross-platform conversational-ai function-calling vector-search ag-ui-protocol microservice learning-framework gpl-3.0 ai-agents retrieval-augmented-generation docker web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="cheshire-cat-ai/core")