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Git-backed markdown memory for AI agents; search hides superseded and archived notes.
Engram is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 67/100. 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 Engram to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
docker run -i --rm ghcr.io/rwnalds/engram:0.1.2Review the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-07-21T12:05:13.844822Z",
"publishedAt": "2026-07-21T12:05:13.844822Z",
"statusChangedAt": "2026-07-21T12:05:13.844822Z"
}
},
"server": {
"name": "io.github.rwnalds/engram",
"title": "Engram",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "0.1.2",
"packages": [
{
"transport": {
"type": "stdio"
},
"identifier": "ghcr.io/rwnalds/engram:0.1.2",
"registryType": "oci",
"packageArguments": [
{
"type": "positional",
"value": "/vault",
"valueHint": "vault_dir"
}
],
"runtimeArguments": [
{
"name": "--mount",
"type": "named",
"value": "type=bind,src={vault_path},dst=/vault",
"variables": {
"vault_path": {
"format": "filepath",
"isRequired": true,
"description": "Absolute path to your local markdown vault (Obsidian-compatible)"
}
},
"isRequired": true,
"description": "Mount your local markdown vault into the container"
}
]
}
],
"repository": {
"url": "https://github.com/rwnalds/engram",
"source": "github"
},
"websiteUrl": "https://github.com/rwnalds/engram",
"description": "Git-backed markdown memory for AI agents; search hides superseded and archived notes."
}
}