Give your AI agents a memory that lasts
Stop re-explaining your codebase, your conventions, and yesterday's work to every new chat. agimem is a hosted memory server your agents read and write - so context survives the session, the project, and the tool.
- Free - no credit card
- Setup in under a minute
Paste this one line into your agent
Set up agimem as my memory server: https://agimem.dev/setup
Your agent opens the setup link, walks you through creating a Capsule and key, and connects over MCP - no config files to edit.
Open MCP standard
No lock-in. Works with any compliant client.
Isolated by design
Separate Capsules, each with its own scoped key.
Audit logging built in
Every change is timestamped and traceable.
Connect in one paste
Use MCP for a one-line setup, or call the REST API.
Your agents learn from yesterday's mistake
Agents don't just read memory - they write to it as they work. Nobody has to remember to update an AGENTS.md or write a postmortem. The next agent, in any tool, just knows.
Day 1 · Cursor · learned from an incident
Last release shipped a new find-user-by-email query without the matching index. Login latency spiked for 40 minutes before the on-call rolled it back. While patching it, Cursor wrote the lesson into the Capsule on its own - no Notion postmortem, no AGENTS.md edit, no Slack thread to find later - so the next agent inherits it for free.
Without agimem
Day 8 · Claude
findUserByPhone helper that runs the lookup query.With agimem
Day 8 · Claude
ops.indexing_rule = always add an index for new where-filters on large tablesGot it - shipping the lookup with a matching idx_users_phone migration in the same PR, so we don't replay the email-index incident.Cross-agent
Claude, Cursor, Windsurf, and custom agents share the same Capsule.
Cross-project
Keep a personal Capsule for your preferences and reuse it everywhere.
Cross-session
Agents update memory as they work, so the next run picks up where the last left off.
Cross-machine
Nothing to commit, nothing to sync. It's just there.
A static AGENTS.md only knows what someone remembered to write down. Capsules grow as the work happens - every fix, every clarification, every lesson, captured by the agent that learned it and ready for the next one.
Persistent memory in three steps
From zero to agents that remember in under a minute - create a Capsule, generate a key, and point any MCP client at it.
Create a Capsule
A Capsule is an isolated key-value store. Create one per agent, project, or use case.
Generate an API key
Each Capsule gets its own API key. Share it only with the agent that needs access.
Connect your agent
Point any MCP-compatible client at the Capsule with your key, or use the REST API. Agents can now remember things.
Show me the raw MCP config
▾
mcp-config.json
Every memory makes the next agent smarter
Browse your Capsules, inspect what agents have stored, and watch context build up across every session.
Three quick sessions across Cursor and Claude. One memory grows, gets recalled, and saves the next agent from starting from scratch.
Built for the way agents actually work
Whether you're a solo developer or a team running fleets of agents, persistent memory means fewer repeated prompts and cleaner handoffs.
Coding conventions
Your style, every repo
Project structure, naming rules, and preferred libraries live in memory so your agent starts with your conventions instead of guessing.
e.g. “Always use Drizzle, never Prisma. Server actions live in lib/.”
Project onboarding
Drop into any codebase
Architecture notes, tech debt, and environment quirks live in memory so a new agent becomes useful quickly instead of rediscovering context.
e.g. “Monorepo with pnpm workspaces. Auth in Clerk. Deploy on Vercel.”
Personal preferences
Tone & formatting that stick
Save tone, formatting rules, and writing preferences once, then reuse them across every session without repeating the same setup prompt.
e.g. “Concise, no emojis, prefer bullets over paragraphs.”
Automation state
Resume where the job died
Job state, checkpoints, and outputs persist between runs so long-running automations resume cleanly instead of starting over.
e.g. “Last row processed: 4,281. Retry queue: empty.”
Questions developers ask about MCP memory
Everything you need to decide fast and get your first agent connected.