besslframework-stack/project-tessera
Local workspace memory for Claude Desktop. Indexes your documents (Markdown, CSV, session logs) into a vector store with hybrid search, cross-session memory, auto-learn, and knowledge graph visualization. Zero external dependencies — fastembed + LanceDB, no Ollama or Docker required. 15 MCP tools.
- Category
- Knowledge & Memory
- Language
- Python
- License
- AGPL-3.0
- Stars
- 12
- Source
- https://github.com/besslframework-stack/project-tessera