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Heartwood Memory — governed memory for AI agents MCP Server

by jermayne36 Your server? Claim it
local only

Heartwood Memory — governed memory for AI agents runs on your own machine — the client starts it, so there is no endpoint to ping. 153 installs a week from pypi. Last commit 24 Aug 2026.

Heartwood Memory — governed AI agent memory; signed provenance. BUSL-1.1; not OSI open source.

Installs per day peak 352 · avg 48 · -43% w/w
a month agotoday
153
Installs / week
pypi · heartwood-memory
0
Stars
0 open issues
24 Aug 2026
Last commit
0 releases in 90 days
License
Python

What the code does

We read the source, 1 h ago · rules 3dff92dd89df

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.

Runs an external command [пакет] heartwood/recall_service.py:1649, heartwood/recall_service.py:1680
        proc = subprocess.run(
_VALID_BUCKET = "valid_ed25519"

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.

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 heartwood-memory -- uvx heartwood-memory
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "heartwood-memory": {
      "args": [
        "heartwood-memory"
      ],
      "command": "uvx"
    }
  }
}
~/.codex/config.toml
[mcp_servers.heartwood-memory]
command = "uvx"
args = ["heartwood-memory"]
.cursor/mcp.json
{
  "mcpServers": {
    "heartwood-memory": {
      "args": [
        "heartwood-memory"
      ],
      "command": "uvx"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "heartwood-memory": {
      "args": [
        "heartwood-memory"
      ],
      "command": "uvx"
    }
  }
}

This one needs environment variables set before it will start: HEARTWOOD_DB_PATH (Path to the local Heartwood SQLite database.), HEARTWOOD_TENANT (Tenant identifier used to isolate memories.), HEARTWOOD_MCP_ALLOWED_TOOLS (Comma-separated MCP tool allowlist; the default is read-only.). The author declared them in the registry entry; get the values from the project itself.

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Heartwood Memory — governed memory for AI agents — questions

Answers built from our own checks of this server.

Why is there no uptime for Heartwood Memory — governed memory for AI agents?
Heartwood Memory — governed memory for AI agents 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 heartwood-memory was installed 153 times last week.
How do I connect Heartwood Memory — governed memory for AI agents?
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 runs locally, so the command pulls heartwood-memory straight from pypi; nothing to host, nothing to sign up for.
How many people use Heartwood Memory — governed memory for AI agents?
The pypi package heartwood-memory was installed 153 times in the last week. Week over week that is -43%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Heartwood Memory — governed memory for AI agents open source?
We cannot say either way: written in Python and 0 stars on GitHub, but we could not determine the licence, and without one the code is not open source by default.