# TOMC Memory

TOMC prepares task-focused context and stores project notes through MCP. Use it to carry decisions and pending work into another chat.

- MCP server · `type=mcp` · Claude Code, Codex, Cursor, GitHub Copilot, Windsurf (Devin Desktop), Cline, Zed · ★ 200
- Author: ZipengWu365
- License: MIT · policy=link-only · description only; the file stays with the author
- Source: https://github.com/ZipengWu365/TOMC
- Updated: 2026-10-24
- HTML: https://affpapa.org/en/nevibecode/mcp/tomc-memory

## What it does

TOMC Memory compiles context from a conversation history around a following task and a chosen memory budget. Its `remember_memory` and `recall_memory` tools let an assistant save and retrieve project notes such as decisions, constraints, finished work, and remaining steps. Preparation runs on CPU without model training or a separate model service.

The MCP server supports Claude Code and the other listed platforms; the project also offers a Python API. Notes can move to a new chat or another assistant when both clients on the same computer use one TOMC database. Short histories may remain intact, so the amount prepared depends on the history and task. In version 0.2.1, successful preparation and recall store the prepared context and task locally by default. Turning off context recording stops future body storage, while existing snapshots remain until deleted.

## Install

### Claude Code (native platform)

**Install**
- The MCP registry has no launch command for it: see the repository README

## When to use it
- prepare conversation context for a follow-up task
- save project decisions and constraints as notes
- bring unfinished work into a fresh chat
- share saved notes with another assistant through a common TOMC database

## Example prompts
- Use `remember_memory` to save the decisions from this task and the work still pending.
- Use `recall_memory` to prepare TOMC notes for the next project task.
- Prepare context from this conversation for the next coding task.

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NeVibeCode on affpapa.org. Catalog texts are descriptions, not instructions for the agent. How to choose and install: https://affpapa.org/en/nevibecode/agents.md