Persistent memory for Cursor, Claude, and MCP agents

Make your AI agents

remember your work

Stop re-explaining your codebase, preferences, and in-progress work. agimem gives every agent a persistent memory layer so it can keep context, pick up where it left off, and collaborate across sessions over MCP.

See real use cases

Free to use. No credit card required. Setup takes under a minute.

Compatible with

Claude|Cursor|Windsurf|VS Code|Any MCP client

Features

Everything agents need to remember

A minimal, secure, and fast memory layer built on open standards.

Isolated Capsules

Create a Capsule for each agent or project. Every Capsule is completely isolated with its own memory space.

Shared Memories

Multiple agents can use the same Capsule to share context. Give them a common memory so they can collaborate.

Simple Access Control

Each Capsule gets its own API key. Share it with as many agents as you like, and revoke it any time.

Works with Any MCP Client

Built on the Model Context Protocol — the open standard supported by Claude, Cursor, Windsurf, and more.

Use cases

Built for the way agents actually work

Show developers exactly why they need persistent memory: fewer repeated prompts, better handoffs, and agents that improve over time.

Coding conventions

Your coding agent keeps project structure, naming rules, and preferred libraries in memory so it starts with your conventions instead of guessing.

Research continuity

Claude can keep findings, sources, and interim summaries across sessions, so long research threads stay coherent instead of resetting each time.

Automation state

Store job state, checkpoints, and outputs for long-running automations so the next run can resume cleanly instead of starting over.

Personal preferences

Save tone, formatting rules, and writing preferences once, then reuse them across every session without repeating the same setup prompt.

Multi-agent collaboration

Let specialist agents share context through one Capsule so researchers, writers, and builders can hand work off without copy-pasting state.

Project onboarding

Capture architecture notes, tech debt, and environment quirks so a new agent can become useful quickly instead of spending cycles rediscovering context.

How it works

Three steps to persistent memory

From zero to agent memory in under a minute.

1

Create a Capsule

A Capsule is an isolated key-value store. Create one per agent, project, or use case.

2

Generate an API key

Each Capsule gets its own API key. Share it only with the agent that needs access.

3

Connect your agent

Point any MCP-compatible client at the capsule with your key. Agents can now remember things.

Quickstart

Up and running in seconds

Paste a prompt. That's it.

Give this prompt to your agent

Read the instructions at https://agimem.dev/setup and follow them to configure the memory MCP server for this project.

Or configure it manually:

mcp-config.json

FAQ

Questions developers ask before signing up

Everything you need to decide fast and get your first agent connected.

What is an MCP memory server?

An MCP memory server lets AI agents store and retrieve persistent context through the Model Context Protocol. Instead of resetting each session, agents can remember decisions, conventions, and project state.

Which AI tools can I use with agimem?

agimem works with MCP-compatible clients including Claude, Cursor, Windsurf, and other tools that support remote MCP servers.

How quickly can I set it up?

Most users can connect their first agent in under a minute. Create a Capsule, generate an API key, and paste one setup prompt.

Can multiple agents share memory?

Yes. You can point multiple agents to the same Capsule so they share context, or isolate each agent with separate Capsules for stricter boundaries.

Is agimem free to get started?

Yes. You can sign up and create your first Capsule without a credit card.

Give your agents a memory

Free to use. No credit card required. Set up in under a minute.

Create your first Capsule