IHMT Memory MCP server

IHMT — Infinite Hierarchical Memory Tree

<!-- mcp-name: io.github.gonzaroman/ihmt-memory -->

Long-term memory for your AI coding agents. Tell your agent something once — a decision, how your setup works, a correction — and it remembers it in every future session, in any project, with any of your agents.

What IHMT does

people and projects, corrections. Your agent searches the memory before answering and saves what lasts, so you stop repeating yourself.

• Remembers across sessions. Decisions and their reasons, your environment, your preferences,

memory: what one saves, the others find. Tested with models from Anthropic, OpenAI, Google and Meta.

• One memory for all your agents and models. Claude Code, Codex and opencode can share the same

retrieves only what the question needs — typically 200–900 tokens, whether the memory holds 50 entries or 50,000, because search walks a tree instead of reading everything. Honest numbers, including where it does not save.

• Saves tokens. Instead of pasting your notes or re-explaining context every session, the agent

now"), the old memory is kept as history, flagged OUTDATED, and searches answer with the current one first. Where you live, where you work and your stack are tracked automatically; any other correction is linked when the agent saves it with replaces. When a question is ambiguous ("Luis" — which one?), it asks instead of guessing.

• Understands time. When something changes ("I moved to Valencia", "staging is on PostgreSQL 17

up, or put it under version control — it works wherever you put it.

• Portable. Your memory is one folder of plain text files. Copy it to another computer, back it

disk and sends nothing anywhere. (The memories your agent retrieves reach its model like any other context.) Every memory is a text file you can open, and each person who installs IHMT starts with their own, empty memory.

• Local, private and readable. No cloud, no database, no account: IHMT stores everything on your

Compatibility. Officially supported: Claude Code. Also tested: Codex (CLI and the

ChatGPT desktop app — setup) and opencode

(setup). IHMT is a standard stdio MCP server, so any

agent that supports local MCP servers should work — GitHub Copilot, Antigravity, Cursor, Windsurf,

Gemini CLI, Claude Desktop… — and INSTALL.md knows how to configure them, but we have

not tested those yet. All of them can share one memory.

Install

Before you start

Missing Python or git? Your AI agent installs them for you (it is instructed to ask you first). Python goes in your user folder, with no administrator password, so nothing system-wide changes. On a brand-new Mac, git may need one click: Apple shows a window asking to install its command-line tools.

On a Mac, note that the python3 that comes with macOS is version 3.9, which is too old — that is why your agent may say Python is missing even though python3 exists.

You do not need administrator rights, a database, an account, or any paid service beyond your agent. Tested on macOS and Linux (Ubuntu); on Windows the instructions are included but not tested yet. Details: GUIDE.md §3.

Let your AI agent install it

Shortened. The full README is on GitHub.