Loading…
Graph memory for AI agents: entities, cause-effect links, cross-session recall, time travel.
ReasonGraph Cloud memory is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 73/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding ReasonGraph Cloud memory to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
mcp add ai.primaxiom.memory/reasongraph https://memory.primaxiom.ai/mcpReview the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-09-07T12:00:44.198271Z",
"publishedAt": "2026-09-07T12:00:44.198271Z",
"statusChangedAt": "2026-09-07T12:00:44.198271Z"
}
},
"server": {
"name": "ai.primaxiom.memory/reasongraph",
"title": "ReasonGraph Cloud memory",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"remotes": [
{
"url": "https://memory.primaxiom.ai/mcp",
"type": "streamable-http",
"headers": [
{
"name": "Authorization",
"isSecret": true,
"isRequired": true,
"description": "Bearer <your rgm_ API key> from https://memory.primaxiom.ai/console"
}
]
}
],
"version": "0.6.6",
"repository": {
"url": "https://github.com/bgokden/reasongraph",
"source": "github"
},
"websiteUrl": "https://memory.primaxiom.ai",
"description": "Graph memory for AI agents: entities, cause-effect links, cross-session recall, time travel."
}
}