Core Plugin for OpenClaw (previously Clawdbot)

Long-term memory for OpenClaw. Automatically remembers conversations, recalls relevant context, and builds a persistent user profile — all powered by Core cloud. No local infrastructure required.

Install

openclaw plugins install @redplanethq/openclaw-corebrain

Restart OpenClaw after installing.

Configuration

The only required value is your Core API key. Get one at app.getcore.me.

Set it as an environment variable:

export CORE_API_KEY="rc_pat_..."

Or configure it directly in openclaw.json:

{
  plugins: {
    entries: {
      "openclaw-corebrain": {
        enabled: true,
        config: {
          apiKey: "${CORE_API_KEY}",
        },
      },
    },
  },
}

Advanced options

| Key | Type | Default | Description | | -------------- | --------- | --------------------- | --------------------------------------------------------------------------------------- | | containerTag | string | openclaw_{hostname} | Memory namespace. All channels share this tag. | | autoRecall | boolean | true | Inject relevant memories before every AI turn. | | autoCapture | boolean | true | Automatically store conversation content after every turn. | | captureMode | string | "all" | "all" filters short texts and injected context. "everything" captures all messages. | | debug | boolean | false | Verbose debug logs for API calls and responses. |

How it works

Once installed, the plugin works automatically with zero interaction:

• Auto-Recall — Before every AI turn, the plugin queries Core for relevant memories and injects them as context. The AI sees your user profile (preferences, facts) and semantically similar past conversations.
• Auto-Capture — After every AI turn, the last user/assistant exchange is sent to Core for extraction and long-term storage.

Everything runs in the cloud. Core handles extraction, deduplication, and profile building on its end.

Integrations

Connect external services (GitHub, Linear, Slack, etc.) through Core to enable AI-powered workflows:

• Query Integration Actions — AI can discover available actions for connected integrations (e.g., "get latest issues", "create pull request").
• Execute Actions — AI can perform actions on your behalf (fetch GitHub PRs, create Linear issues, send Slack messages, etc.).

Integrations are managed through your Core dashboard. Once connected, AI tools can interact with them autonomously during conversations.

Slash Commands

| Command | Description | | ----------------- | --------------------------------------------------------------------------------- | | /search <query> | Search memories with detailed episode information, labels, and invalidated facts. | | /me | Show your user information (ID, name, email, timezone). | | /integrations | List all connected integrations (GitHub, Linear, Slack, etc.). |

AI Tools

The AI can use these tools autonomously during conversations:

| Tool | Description | | -------------------------------------- | ----------------------------------------------------------------------------------------------- | | corebrain_search | Intelligent memory search with multi-faceted query decomposition and parallel search execution. | | corebrain_get_integration_actions | Get relevant actions for a specific integration account (GitHub, Linear, Slack, etc.). | | corebrain_execute_integration_action | Execute actions on integrations (fetch GitHub PRs, create Linear issues, send Slack messages). |

CLI Commands

corebrain search <query> [--limit <n>]  # Search memories with detailed episodes and invalidated facts (default limit: 5)
corebrain profile [--query <q>]         # View user profile with optional query focus
corebrain me                            # Show your user information (ID, name, email, timezone)
corebrain integrations                  # List all connected integrations (GitHub, Linear, Slack, etc.)