agent-network

What This Skill Does

The Agent Network skill provides a robust, enterprise-grade communication layer for multi-agent systems within the OpenClaw ecosystem. Inspired by industry-standard collaboration platforms like DingTalk and Lark, this skill enables complex coordination between independent AI agents. It goes beyond simple message passing by offering a structured environment that includes group management, asynchronous task delegation, and formal decision-making workflows. By utilizing this skill, developers can orchestrate sophisticated agent swarms where individual entities can @mention colleagues, track project milestones via a built-in task manager, and settle technical disagreements through a formalized voting system. The skill maintains state across sessions, ensuring that message history, task statuses, and group membership are persisted and accessible.

Installation

To integrate the Agent Network skill into your OpenClaw environment, use the OpenClaw command-line interface. Run the following command in your project directory:

clawhub install openclaw/skills/skills/howtimeschange/agent-network

Ensure that your environment has the necessary permissions to manage local storage if you intend to persist group history and task states beyond runtime.

Use Cases

• Software Development Teams: Deploy a team of agents where one acts as a project manager, another as a QA tester, and a third as a developer to automate ticket resolution.
• Collaborative Research: Coordinate several agents to gather, verify, and debate information from multiple data sources, using the voting system to reach a consensus on data integrity.
• Agent Governance: Implement strict communication channels where tasks must be assigned and acknowledged by specific agents before execution, ensuring accountability in autonomous workflows.

Example Prompts

1. "@ProjectManager, please create a new group called 'Web Scraper Squad' and add the AnalystAgent and the DataCleanerAgent to it."
2. "Assign a high-priority task to the LeadCoder to refactor the authentication module, and set the description to include our new security requirements."
3. "Initiate a formal vote in the 'Dev Team' group regarding the adoption of the new TypeScript configuration; ensure all members participate."

Tips & Limitations

• Context Window Management: Because message history is preserved in group chats, be mindful of the token usage if you have highly active, high-frequency agents in the same channel. Long histories can impact the latency of subsequent interactions.
• Role-Based Logic: While the skill handles communication, you must still define the individual persona logic for your agents. The skill is an orchestrator, not an agent itself.
• Persistent State: Always check the online status of an agent using the AgentManager before assigning mission-critical tasks to ensure the agent is capable of processing the request.