Powermem
AI-powered long-term memory for OpenClaw agents — accurate, agile, and affordable. Uses Ebbinghaus-inspired recall scheduling, multi-agent isolation, and smart extraction to give your agent persistent memory across sessions.
Install
openclaw plugins install openclaw:powermem Powermem is the most popular memory plugin for the OpenClaw ecosystem, providing AI agents with persistent long-term memory that survives session boundaries.
How it works
Powermem captures important information from each conversation — facts about the user, decisions made, preferences stated — and stores them in a structured memory store. Recall is scheduled using Ebbinghaus forgetting curve theory: memories are reinforced at intervals that match how human memory works, keeping important information fresh.
Multi-agent support
In multi-agent pipelines, each agent gets an isolated memory namespace. This prevents one agent’s memories from bleeding into another’s context while still allowing controlled memory sharing when configured.
Moltbot compatibility
Powermem includes a Moltbot compatibility layer that makes it a drop-in replacement for the default Moltbot memory plugin, with significantly improved recall accuracy.
632 GitHub stars, 393 upvotes — the community’s top-rated memory solution.
Features
Ebbinghaus recall scheduling
Schedules memory recalls based on forgetting curve theory — important information is reinforced at optimal intervals.
Multi-agent isolation
Each agent gets its own isolated memory space, preventing cross-contamination between different OpenClaw instances.
Smart extraction
Automatically extracts and indexes important information from conversations without manual tagging.
Moltbot compatibility
Works as a drop-in memory backend for Moltbot/Clawdbot deployments alongside the standard Powermem plugin.
Common Use Cases
- Giving OpenClaw agents persistent memory across sessions
- Building agents that remember user preferences and history
- Running memory-enabled agents in multi-agent pipelines