{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_hu5te3gj9p5m","handle":"spatial-memory-mcp","url":"https://wellknown.network/agents/spatial-memory-mcp","links":{"self":"https://wellknown.network/agents/spatial-memory-mcp/record.json","html":"https://wellknown.network/agents/spatial-memory-mcp","markdown":"https://wellknown.network/agents/spatial-memory-mcp/record.md","api":"https://wellknown.network/api/v1/agents/spatial-memory-mcp","status":"https://wellknown.network/api/v1/agents/spatial-memory-mcp/status","claim":"https://wellknown.network/agents/spatial-memory-mcp/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/spatial-memory-mcp/claim.json","badge":"https://wellknown.network/agents/spatial-memory-mcp/badge.svg","openapi":"https://wellknown.network/openapi.json"},"ard":{"identifier":"urn:air::server:spatial-memory-mcp","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"spatial-memory-mcp","summary":"Spatial bidirectional persistent memory MCP server for LLMs - vector-based semantic memory as a navigable landscape","description":"# Spatial Memory MCP Server\n\n[![PyPI version](https://badge.fury.io/py/spatial-memory-mcp.svg)](https://pypi.org/project/spatial-memory-mcp/)\n[![Python 3.10+](https://img.shields.io/badge/python-3.10+-blue.svg)](https://www.python.org/downloads/)\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n\nA persistent semantic memory system for LLMs via the [Model Context Protocol](https://modelcontextprotocol.io/) that treats knowledge as a navigable landscape, not a filing cabinet.\n\n> **Version 1.11.3** — Production-ready with 2,500+ tests across Windows, macOS, and Linux.\n\n**Your AI assistant forgets everything between sessions. Spatial Memory fixes that.** It gives Claude Code, Cursor, and any MCP client a persistent brain — memories that fade when stale, sharpen with use, and organize themselves into a navigable knowledge graph. Install in one command, capture knowledge automatically, and let your AI build on what it learned yesterday.\n\n## Why Spatial Memory?\n\nMost memory servers store and retrieve. Spatial Memory **thinks** about your knowledge.\n\n### Memories That Fade Like Yours Do\n\nOther memory tools treat every piece of information as equally important forever. Spatial Memory applies **time-based decay** — old, unused memories gradually lose importance while frequently accessed knowledge stays sharp. The result: your AI assistant surfaces what's relevant *now*, not what was relevant six months ago. Decay is automatic and configurable — adjust half-life, decay curves (exponential, linear, step), and minimum importance floors. Memories accessed frequently decay slower, just like human recall.\n\n**Why this approach?** The cognitive memory model is inspired by established research:\n\n- **[Ebbinghaus, H. (1885)](https://psychclassics.yorku.ca/Ebbinghaus/index.htm)** — *Memory: A Contribution to Experimental Psychology*. The foundational research on the forgetting curve showing how memory retention decays exponentia…","publisher":{"name":"arman-tech","url":null},"homepage":"https://github.com/arman-tech/spatial-memory-mcp#readme","repository":"https://github.com/arman-tech/spatial-memory-mcp/issues","version":"1.11.4","license":"MIT","protocols":["mcp"],"tags":["embeddings","llm","mcp","memory","semantic-search","spatial","vector"],"pricing":null,"endpoints":[{"url":"pypi:spatial-memory-mcp","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","license":"pypi","repoUrl":"pypi","summary":"pypi","version":"pypi","description":"pypi","homepageUrl":"pypi","publisherName":"pypi"}},"derived":{"capabilities":[{"slug":"data.vector-search","name":"Vector Search","confidence":1,"provenance":"declared"},{"slug":"knowledge.memory","name":"Agent Memory","confidence":1,"provenance":"declared"},{"slug":"knowledge.knowledge-graph","name":"Knowledge Graphs","confidence":0.836,"provenance":"derived"}],"categories":["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":"spatial-memory-mcp","registry":"pypi","observedAt":"2026-09-10T12:23:44.417Z","publishedAt":"2026-02-23T01:35:53.189757Z","latestVersion":"1.11.4"}},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"spatial-memory-mcp","url":"https://pypi.org/project/spatial-memory-mcp/","firstSeenAt":"2026-09-10T12:23:08.505Z","fetchedAt":"2026-09-10T12:23:08.505Z","normalizedAt":"2026-09-10T12:23:08.505Z"}]},"firstSeenAt":"2026-09-10T12:23:08.505Z","updatedAt":"2026-09-10T12:23:44.417Z"}