Cheshire Cat AI
Cheshire Cat AI is a new framework designed for building and deploying custom AI agents.
The tool allows you to train agents on your own documents, connect them to external APIs, and choose between commercial or open-source models. It uses a microservice architecture and is fully dockerized, which makes it easy to plug into existing software stacks like Qdrant or Ollama.
For the public sector, this approach is useful because it simplifies adding conversational layers to current systems without a complete rebuild. It also supports local LLM runners, which helps organizations maintain control over data privacy and infrastructure.
Is your team looking for a way to integrate AI into existing software?
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