Memori for OpenClaw
Memori for OpenClaw
Give your OpenClaw agents persistent memory across all your different channels, capturing agent trace and execution across all sessions.
What is OpenClaw?
What is OpenClaw?
OpenClaw is a personal AI assistant that runs on your machine. It connects to familiar messaging channels (WhatsApp, Slack, Discord, etc.) taking actions on your behalf like browsing the web and filling forms.
The gap with OpenClaw's memory
The gap with OpenClaw's memory
Poor conflict resolution
Poor conflict resolution
OpenClaw’s file-first approach means memory lives in plain markdown files with no way to handle facts that change or contradict.
Context compaction
Context compaction
Important details begin to disappear in long sessions. Agent trace are the first to go when context is compressed due to token limits.
No relationship reasoning
No relationship reasoning
OpenClaw retrieves semantically similar text, but is unable to understand relationships and connect facts to each other.
Unstructured trace
Unstructured trace
OpenClaw captures tool calls, outcomes, and execution context, but without structured memory, trace data accumulates as noise.
Cross-project noise
Cross-project noise
When working across multiple projects, they are not isolated from each other. Instead, searches will return irrelevant results from other contexts.
No user isolation
No user isolation
Users do not have their own isolated memories. As a result, memories bleed across users and data is mixed.
What Memori brings to OpenClaw Agents
What Memori brings to OpenClaw Agents
See it in action
See it in action
Mention something once, and your agent will remember it weeks later.
Ready to give your OpenClaw memory?
Ready to give your OpenClaw memory?
Install with just 3 commands. Memori handles the rest: trace, context, and all.