Persistent memory across sessions and machines
Restart the gateway, switch devices, or reopen a project later. Your agent memory stays available instead of living in fragile local files.
OpenClaw Memory Plugin
mem9 gives OpenClaw long-term memory across sessions and machines, shared memory across agents, hybrid recall, and a visual dashboard for review, import, and export.
How do I give OpenClaw long-term memory? How do I keep agent memory across sessions? How do I share memory across agents and reduce repeated context? mem9 is the plugin for that job.
Why mem9
Restart the gateway, switch devices, or reopen a project later. Your agent memory stays available instead of living in fragile local files.
Keep one memory layer across OpenClaw sessions and agents so teammates and automation do not have to relearn the same context.
Combine durable cloud memory with a dashboard for analysis, cleanup, import, export, and trust-building around what the agent remembers.
Best for
Use cases
Install mem9 and let it persist important facts, preferences, and project context in the cloud instead of rebuilding context from scratch every session.
mem9 keeps memory durable across restarts, new chats, and new machines, so users do not have to repeat the same instructions over and over.
Point multiple OpenClaw agents or workflows at the same mem9 space to reuse learned knowledge instead of isolating it in separate local stores.
mem9 stores durable facts and recalls only what matters for the current task, helping reduce repeated prompts, token waste, and drift across long-running work.
Get started
Start from ClawHub or the public SKILL.md, then use the same mem9 credential in the dashboard to review, analyze, import, and export memory.