super-memory-mcp

# Super-Memory A semantic memory storage and retrieval MCP (Model Context Protocol) server using LanceDB and sentence transformers. ## What is Super-Memory? Super-Memory gives your AI agents long-term memory across sessions. It stores and retrieves information using semantic embeddings, so agents can recall relevant context from previous conversations, files, and web pages. ## Features - **Semantic search** - Query memories by meaning, not just keywords - **File memory** - Read and store local file contents - **Web memory** - Fetch and store web page contents - **Boomerang context** - Special support for Boomerang Protocol session state - **Local storage** - All data stays on your machine in `./memory_data` ## Tools | Tool | Description | |------|-------------| | `save_to_memory` | Store text with optional metadata | | `save_file_memory` | Read a file and store its content | | `save_web_memory` | Fetch a URL and store its content | | `query_memory` | Semantic search across all memories | | `list_sources` | List all stored sources | | `recall_source` | Retrieve exact source by path | | `save_boomerang_context` | Save Boomerang session context | | `get_boomerang_context` | Retrieve Boomerang session context | ## Installation ### Using `uv` (recommended) ```bash uv tool install super-memory-mcp ``` ### Using `pip` ```bash pip install super-memory-mcp ``` ### Manual / Development ```bash git clone https://github.com/Veedubin/Super-Memory.git cd Super-Memory uv sync uv run super-memory-mcp ``` ## OpenCode Configuration Add to your `.opencode/opencode.json`: ```json { "mcp": { "super-memory-mcp": { "type": "local", "command": ["uv", "run", "super-memory-mcp"], "enabled": true } } } ``` Or if installed with `uv tool`: ```json { "mcp": { "super-memory-mcp": { "type": "local", "command": ["super-memory-mcp"], "enabled": true } } } ``` ## Requirements - Python >= 3.13 - CUDA (optional but recomm…