v0.1.0 — initial public release
First public release of Mnemo — an MCP server that uses Gemini's context caching as extended memory for AI assistants.
What's in this release
- MCP server exposing tools to load and query Gemini-cached contexts
- Loaders for GitHub repositories, URLs, and PDFs
- Cache lifecycle management (create / refresh / list / delete)
- Designed to pair with Claude (or any MCP-aware assistant) as the orchestrator while Gemini holds the long context
Why use it
Skip RAG-style chunking and embeddings for codebase / docset Q&A — load the whole thing into Gemini's 1M-token cache once, then query it conversationally with perfect recall.
See the README for setup, supported loaders, and example MCP client config.