mcpbeat Sign in

Recall — persistent memory for agents MCP Server

by workers-notdown-app-recall Your server? Claim it
answering

Recall — persistent memory for agents is answering right now. Last checked 4 min ago. It exposes 5 tools.

Persistent memory for AI agents. Free, no LLM, no SDK. Open Worker you can self-host in 2 commands.

Uptime history 63 days of history · worst day 77%
63 days agonow
100.0%
Uptime 24h
91 of 91 checks
5
Tools
read from the server
316 ms
Response time
average over 24h
open, no key
Access
streamable-http

Recall — persistent memory for agents missed 2 checks this week

Everything else answered, so this is steady rather than shaky. We check every 15 minutes, which is how a one-off gets told apart from the start of a pattern, and how you hear about the next one within the hour instead of from your users.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 4 min ago.

run in your terminal
claude mcp add memory --transport http 'https://recall.notdown-app.workers.dev/mcp/{key}'
Settings → Connectors → Add custom connector, then paste this address
https://recall.notdown-app.workers.dev/mcp/{key}
~/.codex/config.toml
[mcp_servers.memory]
url = "https://recall.notdown-app.workers.dev/mcp/{key}"
.cursor/mcp.json
{
  "mcpServers": {
    "memory": {
      "url": "https://recall.notdown-app.workers.dev/mcp/{key}"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "memory": {
      "type": "http",
      "url": "https://recall.notdown-app.workers.dev/mcp/{key}"
    }
  }
}

Available tools 5

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

memory
memory_forget
Delete a saved memory by key.
memory_list
List the keys of all your saved memories, newest first.
memory_recall
Retrieve a previously saved memory by its exact key.
memory_save
Save or overwrite a memory under a key so you can recall it in a later session. Use for durable facts, decisions, preferences, and context you want to persist across context resets.
memory_search
Search your saved memories by keyword across keys, values, and tags. Returns matching memories, newest first.

Endpoints

URLTransportStateLatencyChecked
https://recall.notdown-app.workers.dev/mcp/{key} streamable-http answering 266 ms 4 min ago

Alternatives to Recall — persistent memory for agents

same job, measured the same way
Norn
by samad001z

Local-first, persistent memory for AI coding agents — remember, recall, forget, and list, over MCP.

15 installs/wk local only
Synap Memory
by maximem

Persistent memory for AI agents — log and recall conversation context over MCP.

4 tools answering
Toon Memory
by luiggival08

Offline persistent memory for AI coding agents — 35 tools, 80% fewer calls, no LLM

124 installs/wk local only
YourMemory
by sachitrafa

Persistent memory for AI agents. Memories decay with time and strengthen on recall.

1 299 installs/wk local only
Rememb
by luizedupp

Persistent memory for AI agents — local JSON, zero config, no server required.

563 installs/wk local only
Goldhold
by jerrysrodz

Persistent memory for AI agents. Search, store, and recall across sessions.

42 installs/wk answering
heropen — AI Agent Memory
by heropen

Persistent memory for AI agents: local-first MCP server, zero-config. No cloud, no API keys.

1 319 installs/wk local only
Agentos
by officialtanishsharma

Local-first persistent memory MCP server for AI coding agents.

local only

Recall — persistent memory for agents — questions

Answers built from our own checks of this server.

What can Recall — persistent memory for agents do?
It exposes 5 tools, read directly from the server on our last check. Among them: memory_forget, memory_list, memory_recall, memory_save, memory_search. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Recall — persistent memory for agents working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 316 ms. The bar chart above shows every period we have measured.
How do I connect Recall — persistent memory for agents?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Recall — persistent memory for agents need an API key?
No. Recall — persistent memory for agents completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 5 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Recall — persistent memory for agents?
It answers our handshake in 316 ms on average, which is faster than 52% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.