{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_9fzce6xbut2u","handle":"vector-memory-mcp","url":"https://wellknown.network/agents/vector-memory-mcp","links":{"self":"https://wellknown.network/agents/vector-memory-mcp/record.json","html":"https://wellknown.network/agents/vector-memory-mcp","markdown":"https://wellknown.network/agents/vector-memory-mcp/record.md","api":"https://wellknown.network/api/v1/agents/vector-memory-mcp","status":"https://wellknown.network/api/v1/agents/vector-memory-mcp/status","claim":"https://wellknown.network/agents/vector-memory-mcp/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/vector-memory-mcp/claim.json","badge":"https://wellknown.network/agents/vector-memory-mcp/badge.svg","openapi":"https://wellknown.network/openapi.json"},"ard":{"identifier":"urn:air::server:vector-memory-mcp","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"vector-memory-mcp","summary":"A secure, vector-based memory server for Claude Desktop using sqlite-vec and sentence-transformers","description":"# Vector Memory MCP Server\n\nA **secure, vector-based memory server** for Claude Desktop using `sqlite-vec` and `sentence-transformers`. This MCP server provides persistent semantic memory capabilities that enhance AI coding assistants by remembering and retrieving relevant coding experiences, solutions, and knowledge.\n\n## ✨ Features\n\n- **🔍 Semantic Search**: Vector-based similarity search using 384-dimensional embeddings\n- **🏷️ Semantic Normalization**: Auto-merge similar tags, normalize categories, structured colon tags\n- **📊 IDF Tag Weights**: Frequency-based weighting for improved search relevance\n- **💾 Persistent Storage**: SQLite database with vector indexing via `sqlite-vec`\n- **🔒 Security First**: Input validation, path sanitization, and resource limits\n- **⚡ High Performance**: Fast embedding generation with `sentence-transformers`\n- **🧹 Auto-Cleanup**: Intelligent memory management and cleanup tools\n- **📈 Rich Statistics**: Comprehensive memory database analytics\n- **🔄 Automatic Deduplication**: SHA-256 content hashing prevents storing duplicate memories\n- **🧠 Smart Cleanup Algorithm**: Prioritizes memory retention based on recency, access patterns, and importance\n\n## 🛠️ Technical Stack\n\n| Component | Technology | Purpose |\n|-----------|------------|---------|\n| **Vector DB** | sqlite-vec | Vector storage and similarity search |\n| **Embeddings** | sentence-transformers/all-MiniLM-L6-v2 | 384D text embeddings |\n| **Normalization** | Semantic similarity + guards | Tag/category auto-merge |\n| **MCP Framework** | FastMCP | High-level tools-only server |\n| **Dependencies** | uv script headers | Self-contained deployment |\n| **Security** | Custom validation | Path/input sanitization |\n| **Testing** | pytest + coverage | Comprehensive test suite |\n\n## 📁 Project Structure\n\n```\nvector-memory-mcp/\n├── main.py                              # Main MCP server entry point\n├── README.md                            # This documentation\n├── requirements.txt       …","publisher":null,"homepage":"https://github.com/xsaven/vector-memory-mcp","repository":"https://github.com/xsaven/vector-memory-mcp","version":"1.10.0","license":null,"protocols":["mcp"],"tags":["mcp","model-context-protocol","vector-search","sqlite","embeddings","semantic-search","claude","ai-memory"],"pricing":null,"endpoints":[{"url":"pypi:vector-memory-mcp","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","repoUrl":"pypi","summary":"pypi","version":"pypi","description":"pypi","homepageUrl":"pypi"}},"derived":{"capabilities":[{"slug":"data.database","name":"Databases","confidence":1,"provenance":"declared"},{"slug":"data.vector-search","name":"Vector Search","confidence":1,"provenance":"declared"},{"slug":"knowledge.memory","name":"Agent Memory","confidence":1,"provenance":"derived"},{"slug":"code.documentation","name":"Code Documentation","confidence":0.848,"provenance":"derived"}],"categories":["code","data","knowledge"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"vector-memory-mcp","registry":"pypi","observedAt":"2026-09-10T15:25:05.746Z","publishedAt":"2026-02-22T18:17:22.591167Z","latestVersion":"1.10.0"}},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"vector-memory-mcp","url":"https://pypi.org/project/vector-memory-mcp/","firstSeenAt":"2026-09-10T15:23:13.084Z","fetchedAt":"2026-09-10T15:23:13.084Z","normalizedAt":"2026-09-10T15:23:13.084Z"}]},"firstSeenAt":"2026-09-10T15:23:13.084Z","updatedAt":"2026-09-10T15:25:05.746Z"}