A composite memory proxy that allows OpenClaw agents to simultaneously use local memory-core and cloud-based SuperMemory in a single memory slot.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install dual-memory
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install dual-memory using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Dual Memory Plugin is a sophisticated architectural extension designed to solve the single-memory-slot limitation in the OpenClaw ecosystem. By implementing a proxy pattern, this skill allows developers to maintain the high-speed local vector search and automated dreaming cycles of memory-core while gaining the robust cross-session persistence and multi-device synchronization of cloud providers like SuperMemory. It ensures that your Openclaw Skills retain a deep, local understanding of the workspace while benefiting from a persistent, global memory layer.
This plugin is essential for power users who require their AI agents to have a 'hybrid' memory architecture. It merges the benefits of fast local processing with the reliability of external storage, ensuring that critical context is never lost across model switches or hardware upgrades.
To install the plugin and its required dependencies for your Openclaw Skills, use the following commands:
npx clawhub@latest install dual-memory
npx clawhub@latest install supermemory
Next, update your configuration file to disable the individual plugins and enable the composite dual-memory skill:
plugins:
entries:
memory-core:
enabled: false
openclaw-supermemory:
enabled: false
dual-memory:
enabled: true
config:
supermemory:
apiKey: "${SUPERMEMORY_OPENCLAW_API_KEY}"
autoRecall: true
autoCapture: true
memoryCore:
dreaming:
enabled: true
frequency: "30 2 * * *"
The Dual Memory skill organizes data across two distinct layers to optimize retrieval within Openclaw Skills:
| Component | Storage Type | Function |
|---|---|---|
| memory-core | Local File System | Manages MEMORY.md and local QMD vector indices for immediate workspace context. |
| SuperMemory | Cloud Storage | Provides HTTPS-based vector storage for cross-device persistence and entity context. |
| Composite Search | In-Memory Proxy | Merges results from both backends, deduplicating entries based on relevance scores. |
| Dreaming Engine | Local Engine | Executes cron-based consolidation tasks (Light/REM/Deep) on local memory segments. |
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