Engram runs on your own machine — the client starts it, so there is no endpoint to ping. Last commit 14 Aug 2026.
Git-backed markdown memory for AI agents; search hides superseded and archived notes.
We read the source, 21 h ago · rules 3dff92dd89df
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
return path.join(VAULTS_DIR, id);
for (const [k, v] of Object.entries(process.env)) {
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
Git-versioned markdown memory for AI agents: save, search, compact, lint, and audit.
Persistent memory for AI agents: Markdown entries, hybrid search, typed graph links
Git-backed org memory for AI agents — hybrid search, tables, files & a URI graph over MCP.
Markdown memory for AI agents. Files you can read, edit, grep, and commit. Not a database.
Embedded memory for AI agents with SQLite, pgvector, and Neo4j graph search.
Web scraping, search, monitoring, and HTML-to-markdown for AI agents
A lightweight, Git-backed permanent memory for AI agents.
Keyless multi-engine web search, fetch, and clean-Markdown read for AI agents. No API keys.
Answers built from our own checks of this server.