A crash-proof dashboard and state recovery system designed to provide persistent memory for your AI agents.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install agent-anchor
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install agent-anchor using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Agent Anchor?
Agent Anchor serves as a robust reliability layer for your AI workflows, acting as a specialized memory vault that survives system crashes, unexpected restarts, and connectivity interruptions. By continuously snapshotting the state of your environment, it ensures that your Openclaw Skills and agent processes can resume operations immediately from the exact point of failure without losing expensive context or progress.
Beyond simple recovery, the tool provides a high-level command center for monitoring agent health. It transforms raw logs into a visual terminal view and activity calendar, making it an essential utility for developers who require high-uptime autonomous operations.
Agent Anchor Use Cases
- Recovering long-running agent tasks after a system crash or power failure.
- Monitoring the real-time execution of scheduled cron jobs and debugging errors with a single click.
- Visualizing historical agent activity through a dedicated calendar view to audit past performance.
- Managing complex project pipelines by organizing agent tasks into structured progress swimlanes.
How Agent Anchor Works
- The system initializes a monitoring loop that interfaces with the OpenClaw environment.
- State snapshots are automatically generated and saved every 3 minutes to a local persistence layer.
- The Task Tracker categorizes active agent goals into In Progress, Staged, or Completed states.
- In the event of an interruption, the agent reads the last valid snapshot from state-anchor.json to restore its context.
- Users interact with the live dashboard to inspect tasks, monitor connection health, and manage cron schedules.
Agent Anchor Setup
To integrate Agent Anchor into your workflow, follow these steps:
# Navigate to your workspace
cd ~/workspace
# Clone the repository
git clone <agent-anchor-repo>
cd agent-anchor
# Start the local dashboard server
python3 -m http.server 3456
After starting the server, access the interface at http://localhost:3456 and ensure your Openclaw Skills are configured to point to the anchor directory.
Agent Anchor Data Schema & Taxonomy
Agent Anchor uses a structured JSON schema located in state-anchor.json to maintain data integrity.
| Key | Description | Type |
|---|---|---|
taskCategories |
Defines the swimlanes (inProgress, staged, completed) | Array |
revenueStreams |
Tracks financial metrics associated with agent tasks | Object |
contacts |
CRM-style lead tracking (hot, warm, cold) | Object |
cronJobs |
Definitions and logs for scheduled agent actions | Array |
snapshots |
Timestamped state objects for crash recovery | Object |
Agent Anchor Advanced Features
- Automatic State Synchronization: Background interval saving every 3 minutes for zero-touch persistence.
- One-Click Error Resolution: Integrated cron job monitoring that allows users to fix failed tasks directly from the UI.
- Contextual Inspection: Click-to-Expand functionality for deep-diving into task metadata and terminal logs.
- Multi-Category CRM: Built-in support for tracking revenue streams and contact lead warmth within the agent's memory.
SKILL.md
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