Echo Memory is answering right now. Last checked 6 min ago. Last commit 30 Oct 2026.
Shared memory for AI agents, as a graph in your own Postgres. Writes never call an LLM.
What changed 1
Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 17 September 2026. No other catalogue keeps this.
What the code does
We read the source, 2 d ago · rules 995398eba69f
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 subprocess.run(args, capture_output=True, text=True, timeout=timeout, check=False)
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
This code can reach further than it looks
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.
Connect this server
Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 6 min ago.
claude mcp add echo-mem --transport http https://api.echo-mem.com/mcphttps://api.echo-mem.com/mcp[mcp_servers.echo-mem]
url = "https://api.echo-mem.com/mcp"{
"mcpServers": {
"echo-mem": {
"url": "https://api.echo-mem.com/mcp"
}
}
}{
"servers": {
"echo-mem": {
"type": "http",
"url": "https://api.echo-mem.com/mcp"
}
}
}This endpoint answered with an authorization challenge. The server is running, but you need an API key from its owner to call it.
Endpoints
| URL | Transport | State | Latency | Checked |
|---|---|---|---|---|
| https://api.echo-mem.com/mcp | streamable-http | needs key | 482 ms | 6 min ago |
Alternatives to Echo Memory
same job, measured the same wayShared memory for AI agents, as a graph in your own Postgres. Writes never call an LLM.
Shared, source-backed memory for AI agents on your own Postgres, with an optional document engine.
One shared memory for all your AI agents: documents, tasks, databases and memories in one workspace
Recall over your markdown notes: vector search plus your [[wikilinks]] as a graph, in SQLite.
Analytical memory for AI agents: a real Postgres queried in plain English over MCP. One command.
Agent memory on your own Postgres that flags superseded facts and abstains instead of guessing.
Give your agent its own cloud: Postgres, Redis, a sandbox or any Docker image, in one MCP call.
A fact store for AI agents, on Postgres: registered attributes, every write citing its evidence.
Echo Memory — questions
Answers built from our own checks of this server.