MCP memory
MCP memory for AI agents and OpenClaw workflows
MCP memory is persistent memory for AI agents and IDEs, delivered through the Model Context Protocol. It gives Cursor, coding agents, and OpenClaw workflows a durable, shared context to ground in.
Echo exposes your memory over MCP, so the same context from your chats is available where your agents run — not just in a chat window.
What is MCP memory?
MCP memory is persistent memory delivered to AI agents and IDEs through the Model Context Protocol (MCP) — the open standard that lets tools like Cursor and coding agents pull in external context. Instead of a model that forgets your project between runs, MCP memory gives your agents a durable, shared store of context they can read and write.
Echo exposes your memory over MCP, so the same context from your chats is available to every agent and editor that speaks the protocol. Your research stops living only in a chat window and starts showing up where you build.
Why AI agents need memory
Agents work across many steps and many sessions on the same problem. Without memory, each run starts cold: the agent re-derives the project structure, forgets the decisions from the last session, and repeats work you already did. That is slow, expensive, and error-prone.
MCP memory fixes that by giving the agent a consistent context to ground in. It remembers the architecture, the constraints, and the choices you made — so it stays on track instead of relitigating the basics every time.
- Persist project context across agent runs and sessions.
- Share one memory between your chats, your IDE, and your agents.
- Stop re-pasting architecture notes and constraints into every session.
MCP memory for Cursor and IDEs
Connect Echo to Cursor and other MCP-capable editors, and the research you did in ChatGPT and Claude is available right where you write code. The editor no longer ignores the context you already built in chat.
It works both ways: decisions you make while coding can be saved back to the same memory, so your chats and your IDE stay in sync instead of drifting apart.
MCP memory for OpenClaw and agent workflows
For automated workflows and agent frameworks like OpenClaw, memory is the difference between a one-shot script and an assistant that compounds. Echo gives those workflows a shared memory layer they can read from and write to across runs.
Developers connect through Echo’s usage-based memory API and MCP, so agents in the cloud and in the editor draw from the same context your team relies on.
Get started with MCP memory
Create a free Echo account, generate an API key for advanced setups, and connect your agents and IDE over MCP. The browser extension does not need a key — but MCP and cloud agents do, since they run outside the browser.
See the docs to wire up Cursor, agents, and OpenClaw, and start giving your tools a memory that persists.
MCP memory FAQ
What is MCP memory?
MCP memory is persistent memory delivered to AI agents and IDEs through the Model Context Protocol. Echo exposes your memory over MCP so agents and editors like Cursor can read and write the same context as your chats.
Does Echo work with Cursor?
Yes. Echo connects to Cursor and other MCP-capable IDEs, so the context from your ChatGPT and Claude conversations is available where you write code.
Do I need an API key for MCP memory?
Yes. MCP and cloud agents run outside the browser, so they need an Echo API key. The browser extension itself does not require one.
Can my agents write back to Echo memory?
Yes. MCP memory is two-way: agents and IDEs can read existing context and save new decisions back, keeping your chats and tools in sync.
Does Echo support OpenClaw and agent frameworks?
Yes. Echo provides a usage-based memory API and MCP integration so OpenClaw workflows and agent frameworks share one persistent memory across runs.
Give your agents a memory that persists.
Connect Cursor, your IDE, and OpenClaw workflows to one shared Echo memory over MCP.