{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_wfrzrq8c2wyn","handle":"mcp-agensgraph-memory","url":"https://wellknown.network/agents/mcp-agensgraph-memory","links":{"self":"https://wellknown.network/agents/mcp-agensgraph-memory/record.json","html":"https://wellknown.network/agents/mcp-agensgraph-memory","markdown":"https://wellknown.network/agents/mcp-agensgraph-memory/record.md","api":"https://wellknown.network/api/v1/agents/mcp-agensgraph-memory","status":"https://wellknown.network/api/v1/agents/mcp-agensgraph-memory/status","claim":"https://wellknown.network/agents/mcp-agensgraph-memory/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/mcp-agensgraph-memory/claim.json","badge":"https://wellknown.network/agents/mcp-agensgraph-memory/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/mcp-agensgraph-memory/history","tools":"https://wellknown.network/api/v1/agents/mcp-agensgraph-memory/tools"},"ard":{"identifier":"urn:air::server:mcp-agensgraph-memory","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"mcp-agensgraph-memory","summary":"AgensGraph knowledge-graph memory MCP server (entities, relations, observations).","description":"# 🧠🕸️ AgensGraph Knowledge Graph Memory MCP Server\n\n## 🌟 Overview\n\nA Model Context Protocol (MCP) server implementation that provides persistent memory capabilities through AgensGraph graph database integration.\n\nBy storing information in a graph structure, this server maintains complex relationships between entities as memory nodes and enables long-term retention of knowledge that can be queried and analyzed across multiple conversations or sessions.\n\nThe MCP server leverages AgensGraph's graph database capabilities to create an interconnected knowledge base that serves as an external memory system. Through Cypher queries, it allows exploration and retrieval of stored information, relationship analysis between different data points, and generation of insights from the accumulated knowledge.\n\n### 🕸️ Graph Schema\n\n* `Memory` - a vertex label holding an entity's `name`, `type` and `observations`.\n  A **unique** property index on `name` is what makes an entity's name identify one\n  vertex, so two callers writing the same entity write one.\n* One edge label per relationship type, named by the type upper-cased — `WORKS_AT`,\n  `LIVES_IN`. A type given in any other case names the same relationship. Each label\n  carries a unique index on the pair of ends it joins, so one relationship of a type\n  between two entities is one edge.\n* A GIN index over `to_tsvector('english', ...)` of the name, type and observations,\n  which `search_memories` reads. It is built out of PostgreSQL's own functions; the\n  server installs nothing in the database.\n\nAll of these are made at startup and checked afterwards. Starting up over a store\nwritten before they existed merges entities that share a name (unioning their\nobservations and keeping their relationships), moves relationships off a miscased\ntype, collapses duplicate relationships onto the one written first, and rebuilds the\nfull-text index. What it collapsed is written to the log.\n\n## 📦 Components\n\n### 🔧 Tools\n\nThe server offers thes…","publisher":null,"homepage":"https://github.com/skaiworldwide-oss/agensgraph-ai/tree/main/mcp-agensgraph/servers/mcp-agensgraph-memory","repository":"https://github.com/skaiworldwide-oss/agensgraph-ai/tree/main/mcp-agensgraph/servers/mcp-agensgraph-memory","version":"0.3.1","license":null,"protocols":["mcp"],"tags":["agensgraph","graph","knowledge","mcp","memory","model","context","protocol"],"pricing":null,"endpoints":[{"url":"pypi:mcp-agensgraph-memory","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":"knowledge.memory","name":"Agent Memory","confidence":1,"provenance":"declared"},{"slug":"knowledge.knowledge-graph","name":"Knowledge Graphs","confidence":1,"provenance":"declared"},{"slug":"data.database","name":"Databases","confidence":0.848,"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":"mcp-agensgraph-memory","registry":"pypi","observedAt":"2026-10-28T09:23:14.250Z","publishedAt":"2026-09-23T20:14:30.211361Z","latestVersion":"0.3.1"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"mcp-agensgraph-memory","url":"https://pypi.org/project/mcp-agensgraph-memory/","firstSeenAt":"2026-09-10T00:23:15.058Z","fetchedAt":"2026-10-28T09:22:24.010Z","normalizedAt":"2026-10-28T09:22:24.010Z"}]},"firstSeenAt":"2026-09-10T00:23:15.058Z","updatedAt":"2026-10-28T09:23:14.250Z"}