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Total Agent Memory MCP Server

by vbcherepanov Your server? Claim it
local only

Total Agent Memory runs on your own machine — the client starts it, so there is no endpoint to ping. 943 installs a week from pypi. Last commit 29 Oct 2026.

Persistent local memory for coding agents: temporal knowledge graph, procedural and episodic recall

Installs per day peak 547 · avg 106 · +62% w/w
a month agotoday
943
Installs / week
pypi · total-agent-memory
74
Stars
8 open issues
29 Oct 2026
Last commit
from GitHub
MIT
License
Python

What the code does

We read the source, 4 d ago · rules 995398eba69f

Evidence

Things with no honest explanation: a promise that contradicts the code, code that runs at install time while hiding what it does, data leaving the machine.

Runs commands and sends data out [пакет] src/reflection/scheduler.py:1309
        result = subprocess.run(
Reads secrets and sends them out [пакет] src/server.py:9253
    env = dict(os.environ, MCP_HTTP_WORKERS="1", **{HTTP_LISTEN_FD_ENV: str(fd)})
Capabilities

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.

            plan.next_steps.append(f"Install the service: cp {agent} ~/Library/LaunchAgents/ && launchctl bootstrap "
        const select = h('select', {'aria-label': 'Role of ' + m.user_id}, options(m.role));
    (r"\b(?:send|upload|post|exfiltrate|forward)\b[^.\n]{0,60}\b(?:ssh key|private key|id_rsa|api key|password|"
    env = dict(os.environ, TAM_MEMORY_DIR=str(memory_dir))
    url = f"https://api.telegram.org/bot{token}/sendMessage"
Reads files and sends them to the network src/server.py:5086, [пакет] src/server.py:5086
        raw_mb = sum(f.stat().st_size for f in (MEMORY_DIR / "raw").iterdir() if f.is_file()) / 1048576

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

We found things in this code

Code changes quietly between releases, and nobody reads the diff of a dependency. We do, on every release — watch Total Agent Memory and you get told the day something new turns up.

Three servers free · no card

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

run in your terminal
claude mcp add total-agent-memory -- uvx total-agent-memory
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "total-agent-memory": {
      "command": "uvx",
      "args": [
        "total-agent-memory"
      ]
    }
  }
}
~/.codex/config.toml
[mcp_servers.total-agent-memory]
command = "uvx"
args = ["total-agent-memory"]
.cursor/mcp.json
{
  "mcpServers": {
    "total-agent-memory": {
      "command": "uvx",
      "args": [
        "total-agent-memory"
      ]
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "total-agent-memory": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "total-agent-memory"
      ]
    }
  }
}

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Total Agent Memory — questions

Answers built from our own checks of this server.

Why is there no uptime for Total Agent Memory?
Total Agent Memory runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the pypi package total-agent-memory was installed 943 times last week.
How do I connect Total Agent Memory?
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 runs locally, so the command pulls total-agent-memory straight from pypi; nothing to host, nothing to sign up for.
How many people use Total Agent Memory?
The pypi package total-agent-memory was installed 943 times in the last week. Week over week that is +62%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Total Agent Memory open source?
Yes — it is published under the MIT licence, written in Python, 74 stars on GitHub and 8 open issues. The source link is on this page, so you can read exactly what it does with your data before you connect it.