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Documentation Index

Fetch the complete documentation index at: https://docs.memmachine.ai/llms.txt

Use this file to discover all available pages before exploring further.

The MemMachine plugin for OpenClaw provides a queryable long-term memory layer. By storing interaction history and retrieving high-relevance context at inference time, your agents stay grounded while reducing token waste.

Persistent Memory

Maintain context across different agent sessions without ballooning your prompt size.

Auto Recall

Automatically inject relevant episodic and semantic memories before your agent responds.

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Features

  • Auto Recall: Searches memories before the agent responds and injects matches into the context.
  • Auto Capture: Automatically sends every exchange to MemMachine after the agent responds.
  • Native Functions: Registers memory_search, memory_store, memory_forget, and memory_get directly in OpenClaw.
  • Version Support: Requires MemMachine plugin v0.3.0 or higher.

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Setup

1

Install the Plugin

Use this command to pull the latest stable version of the plugin directly from our registry:
openclaw plugins install @memmachine/openclaw-memmachine
Do not use openclaw hooks install for this package. It is an OpenClaw plugin pack that exports openclaw.extensions, not a hook pack with openclaw.hooks.
2

Configure Credentials

If you are using the MemMachine Platform (Cloud), retrieve your API key from the MemMachine Cloud console.Note: An API key is only required when connecting to the Cloud platform. For local deployments, this field may be omitted.You can configure the plugin through the OpenClaw Gateway Dashboard under Settings > Plugins or by editing your openclaw.json file.
3

Initialize Configuration

Add the openclaw-memmachine entry to your plugins.entries object in openclaw.json:
"openclaw-memmachine": {
  "enabled": true,
  "config": {
    "apiKey": "mm-...",
    "baseUrl": "[https://api.memmachine.ai](https://api.memmachine.ai)",
    "autoCapture": true,
    "autoRecall": true,
    "orgId": "openclaw",
    "projectId": "openclaw"
  }
}

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UI Configuration

For a no-code approach, use the OpenClaw Gateway Dashboard to toggle features and manage identifiers. OpenClaw Configuration Dashboard

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Configuration Parameters

ParameterUI LabelDescription
apiKeyMemMachine API KeyYour MemMachine API key (Required for Cloud).
baseUrlBase URLThe MemMachine API endpoint.
autoCaptureAuto-CaptureAutomatically store conversation context after each agent turn.
autoRecallAuto-RecallAutomatically inject relevant memories before each agent turn.
orgIdOrganization IDYour unique organization identifier.
projectIdProject IDYour unique project identifier.
userIdDefault User IDUser identifier used for scoping memories.
searchThresholdSearch score ThresholdMinimum reranking score for search results (0-1).
topKTop K ResultsMaximum number of memories to retrieve per turn.
Pro Tip: Tuning the Search score Threshold is key; a value of 0.5 is a good baseline, but increase it if your agent is recalling loosely related, noisy information.

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CLI Commands

The plugin registers two CLI functions for manual memory management and debugging:
  • search: Search MemMachine memory directly from the command line.
  • stats: Retrieve usage and health statistics from MemMachine.