Cache-Pot v0.1.0 is here, bringing a fast, single-binary Redis-compatible data store specifically designed for AI agents. This initial release includes support for core RESP2 commands, built-in vector search, a semantic cache to reduce LLM costs, and a native MCP server for agent tool integration. It is ready for your local AI experimentation and development workflows.

Cache-Pot is introduced as a fast, drop-in Redis-compatible data store specifically designed for AI applications. Beyond standard key-value storage, it includes native vector search, semantic caching to optimize LLM calls, and a built-in MCP server for AI agents to easily read, write, and search data. It aims to provide an accessible, lightweight alternative to standard Redis for AI-focused workflows.

Cache-Pot is a new, fast in-memory data store designed specifically for AI agents and applications. It acts as a drop-in Redis replacement that adds built-in semantic caching, vector search capabilities, and a native Model Context Protocol (MCP) server for direct agent integration. It's built as a single, dependency-free Go binary for easy deployment.