mcpbeat

Agent Memory MCP Server

com.agishub/agent-memory
answering

Agent Memory is answering right now. Last checked 7 min ago. It exposes 2 tools. Last commit 31 Jul 2026.

Persistent semantic memory for AI agents: store and recall text by meaning (RAG). x402

Uptime history 41 hours of history
41 hours agonow
100.0%
Uptime 24h
91 of 91 checks
2
Tools
read from the server
989 ms
Response time
average over 24h
1
Stars
last commit 31 Jul 2026

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 7 min ago.

run in your terminal
claude mcp add agent-memory --transport http https://api.agishub.com/mcp/memory
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "agent-memory": {
      "url": "https://api.agishub.com/mcp/memory"
    }
  }
}
~/.codex/config.toml
[mcp_servers.agent-memory]
url = "https://api.agishub.com/mcp/memory"
.cursor/mcp.json
{
  "mcpServers": {
    "agent-memory": {
      "url": "https://api.agishub.com/mcp/memory"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "agent-memory": {
      "url": "https://api.agishub.com/mcp/memory"
    }
  }
}

Available tools 2

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

memory
memory_search
Semantically search a memory collection (namespace) and return the most relevant stored entries. The retrieval half of RAG.
memory_upsert
Store a piece of text in a persistent, searchable memory collection (namespace). Embedded and indexed for later semantic recall.

Endpoints

URLTransportStateLatencyChecked
https://api.agishub.com/mcp/memory streamable-http answering 1134 ms 7 min ago

Agent Memory — questions

Answers built from our own checks of this server.

What can Agent Memory do?
It exposes 2 tools, read directly from the server on our last check. Among them: memory_search, memory_upsert. 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 Agent Memory 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 989 ms. The bar chart above shows every period we have measured.
How do I connect Agent Memory?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Agent Memory need an API key?
No. Agent Memory completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 2 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Agent Memory?
It answers our handshake in 989 ms on average, which is faster than 5% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is Agent Memory open source?
Yes — it is published under the MIT licence, written in TypeScript and 1 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.