Every OpenClaw agent starts each conversation with a blank slate. It has no idea what you talked about yesterday, what your preferences are, or what projects you are working on. For quick one-off tasks that is fine. For anything that resembles an ongoing relationship with your agent — a personal assistant, a customer-facing chatbot, a research companion — the amnesia is a deal-breaker.
Supermemory is a ClawHub skill that solves the problem by giving your OpenClaw agent persistent, cloud-backed long-term memory. It automatically remembers conversations, recalls relevant context before every response, and builds a cumulative user profile — all without requiring you to manually tell the agent to “remember this.”
What Supermemory Actually Does
At its core, Supermemory adds two automatic behaviors to your OpenClaw agent: Auto-Recall and Auto-Capture.
Auto-Recall runs before every AI turn. It queries the Supermemory cloud for memories that are semantically relevant to the current conversation, then injects them as context so the model can reference your user profile and past exchanges. You do not need to prompt the agent to search its memory — it just happens.
Auto-Capture runs after every AI turn. It sends the conversation to Supermemory’s cloud, where the service extracts key facts, deduplicates them against existing memories, and updates your long-term profile. Over time, the agent accumulates a rich understanding of who you are, what you care about, and what you have discussed.
Because OpenClaw is a multi-platform messaging gateway — connecting to WhatsApp, Telegram, Discord, Slack, iMessage, and more — Supermemory gives your agent memory that spans every channel. A preference you mention on Telegram is available when you pick up the conversation on Discord the next day.
Installation and Setup
Getting started takes about two minutes. Install the skill from ClawHub:
npx clawhub@latest install supermemoryAfter installation, restart OpenClaw and run the setup command:
openclaw supermemory setupYou will be prompted for an API key, which you can generate at app.supermemory.ai. The free tier is generous enough for personal use. For advanced options — including custom container tags, capture mode, profile frequency, and debug settings — run openclaw supermemory setup-advanced instead.
Custom Containers for Organized Memory
One of Supermemory’s more thoughtful features is custom container tags. You can define separate memory containers — for example, “work,” “personal,” and “bookmarks” — and the AI will automatically route memories to the right container based on context. This keeps your agent’s recall focused and avoids cross-contamination between, say, your weekend meal-planning conversations and your Monday morning sprint reviews.
You can also search your agent’s memories manually at any time using openclaw supermemory search <query>, which is useful for auditing what the agent has stored or retrieving a specific piece of information you know it captured.
How It Compares to OpenClaw’s Built-In Active Memory
OpenClaw recently introduced its own Active Memory plugin, a native feature that runs a memory sub-agent before the main reply. Active Memory is tightly integrated with OpenClaw’s core and requires no external service — it works out of the box with local storage.
Supermemory takes a different approach. Because it runs on a dedicated cloud backend, it handles extraction, deduplication, and semantic search at a level of sophistication that a local-first solution does not attempt. It also builds a persistent user profile that evolves over time, rather than simply surfacing recent context. If you need memory that works across devices, across channels, and across long time horizons, Supermemory is the more capable option. If you prefer to keep everything local and are comfortable with a lighter memory footprint, Active Memory may be all you need.
Who Is This For?
Supermemory is a strong fit for anyone running an OpenClaw agent that interacts with the same users repeatedly. Personal assistant setups benefit immediately — your agent learns your dietary restrictions, your meeting schedule preferences, your communication style. Customer-facing agents can remember past support interactions without requiring a separate CRM integration. Research agents can accumulate findings across sessions instead of starting from scratch every time.
The skill is also worth considering if you run OpenClaw across multiple messaging platforms and want a unified memory layer that follows the user, not the channel.
A Note on Privacy
Because Supermemory sends conversation data to an external cloud service, you should review Supermemory’s privacy and data handling policies before deploying it in any context that involves sensitive information. The skill’s debug mode and status commands (openclaw supermemory status) let you inspect exactly what is being stored and recalled, which is a welcome transparency feature. For enterprise or regulated use cases, evaluate whether the cloud-based approach fits your compliance requirements.
Supermemory is open source and available on GitHub. If persistent, cross-channel memory is the missing piece in your OpenClaw setup, it is one of the most polished options on ClawHub today.
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