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Memory for Coding Assistants

Your AI coding assistant forgets your project between sessions. Fix it with persistent memory.

The Problem

You told Claude Code your deploy target is Railway. Tomorrow it suggests Heroku. You explained the database schema last week. Today it asks again. Every session is Groundhog Day.

The Solution

One line — and your coding assistant remembers everything across sessions, projects, and tools.

bash
claude mcp add mnemoverse \
  -e MNEMOVERSE_API_KEY=mk_live_YOUR_KEY \
  -- npx -y @mnemoverse/mcp-memory-server@latest

For detailed setup per tool, see the integration guides:

Or give your agent this URL to self-configure: https://raw.githubusercontent.com/mnemoverse/.github/main/llms.txt

What Gets Remembered

Your coding assistant will proactively remember:

CategoryExample
Project setup"Uses PostgreSQL + Prisma, deployed on Railway"
Preferences"Always use pnpm", "Prefers Tailwind over CSS modules"
Decisions"Chose REST over GraphQL for caching simplicity"
Lessons"Never deploy on Fridays — learned the hard way"
People"Alice owns the design system, Bob reviews API changes"
Patterns"Exponential backoff fixed timeout issues in this service"

Cross-Tool Memory

Write a memory in Claude Code → read it in Cursor. The same API key works everywhere.

Monday in Claude Code:
  You: "We always use feature branches, never push to main directly"
  Claude: [stores memory]

Wednesday in Cursor:
  You: "Push this change"
  Cursor: [reads memory] "Created feature branch. PR to main as usual."

Make your assistant use it

Connecting Mnemoverse isn't enough — the agent has to actually call the memory tools. The reliable way is a standing instruction in your project's agent config (CLAUDE.md, .github/copilot-instructions.md, AGENTS.md, .cursor/rules).

Make Your Agent Use Memory — the copy-paste instruction block, the right file per tool, and how to verify it's working.

Team Memory

Each engineer keeps their own API key; the team shares knowledge through a room (Beta) — a membership-checked shared memory pool addressed with domain: "xroom:<room_id>" on the same write/read calls:

  • New team member's AI already knows the project conventions
  • Decisions made in one person's session are available to everyone
  • Onboarding happens automatically through accumulated memory

Personal preferences stay in your own memory (domain: "user:{name}"); shared project context goes to the room. Usage is billed to the authenticated caller, never the room owner — and don't share one API key across the team: keys identify a person and are revoked individually (see Security).

Common questions

Why does my AI coding assistant forget my project between sessions? Assistants like Claude Code, Cursor, and Copilot keep nothing beyond the current session and context window — every new session starts cold. Mnemoverse adds a persistent memory layer over the Model Context Protocol (MCP), so project setup, decisions, and preferences survive across sessions and tools.

How do I give Claude Code or Cursor persistent memory? Add the Mnemoverse MCP server: one command for Claude Code (claude mcp add mnemoverse -e MNEMOVERSE_API_KEY=... -- npx -y @mnemoverse/mcp-memory-server@latest), or a small JSON config for Cursor / VS Code / Windsurf. The assistant then calls memory_read before answering and memory_write after learning something.

Can my coding assistant remember context across different tools? Yes. One API key is one shared memory. Write a memory in Claude Code and read it in Cursor — the same memory follows you across every MCP-capable tool, plus ChatGPT (Custom Actions) and any REST client.

How do I make my coding assistant actually use its memory? Add a short instruction block to your project's CLAUDE.md (or .github/copilot-instructions.md): call memory_read before answering questions about preferences, past decisions, or setup, and memory_write after learning something worth keeping. This is the most reliable activation lever.

Is there a free way to add memory to my coding assistant? Yes — Mnemoverse has a free tier with no credit card required. Get a key at console.mnemoverse.com and add the MCP server in about 30 seconds.

Get Started

  1. Get an API key (free, 30 seconds)
  2. Pick your tool: Claude | Editors | ChatGPT
  3. Make your agent actually use it — add the standing-instruction block
  4. Start coding — memory builds automatically