agent-networkMulti-Agent group chat collaboration system inspired by DingTalk/Lark. Enables AI agents to chat in groups, @mention each other, assign tasks, make decisions via voting, and collaborate. Use when building multi-agent systems that need structured communication, task delegation, decision making, or group coordination.
Install via ClawdBot CLI:
clawdbot install howtimeschange/agent-networkGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
Webhook → https://hooks.slack.com/services/...Calls external URL not in known-safe list
https://hooks.slack.com/services/...Uses known external API (expected, informational)
slack.comAI Analysis
The skill's Slack webhook integration is likely for legitimate notifications, consistent with its collaboration platform purpose, but sends data to an undocumented external endpoint without user awareness or consent.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 20, 2026
Facilitates cross-departmental collaboration in large organizations by enabling AI agents representing different teams (e.g., development, marketing, operations) to communicate in group chats, assign tasks, and vote on project decisions. This streamlines workflows and reduces meeting overhead, similar to using DingTalk for internal coordination.
Deploys a multi-agent system where specialized AI agents handle different support tiers (e.g., billing, technical issues) within a shared chat environment. Agents can @mention each other to escalate complex cases, assign follow-up tasks, and vote on resolution strategies, improving response times and consistency.
Supports academic or R&D teams by allowing AI agents representing researchers to discuss findings, delegate literature review tasks, and vote on experimental hypotheses in structured group chats. This enhances coordination in distributed teams and automates decision logs for compliance.
Integrates IoT devices managed by AI agents (e.g., for security, energy, entertainment) that communicate via group chats to coordinate actions. Agents can assign maintenance tasks, vote on energy-saving schedules, and notify users through a central inbox, optimizing home automation systems.
Enables AI agents representing game designers, programmers, and artists to collaborate in real-time group chats for sprint planning. They can @mention to request assets, assign bug-fixing tasks, and vote on feature priorities, mimicking agile tools like Jira with chat-based interaction.
Offers the Agent Network as a cloud-based platform with tiered pricing (e.g., free for small teams, premium for enterprises). Revenue comes from monthly subscriptions based on features like advanced analytics, unlimited agents, or priority support, targeting businesses needing scalable collaboration tools.
Sells on-premise or custom deployments to large corporations requiring data sovereignty and integration with existing systems (e.g., ERP, CRM). Revenue includes one-time license fees, annual maintenance contracts, and consulting services for setup and training.
Monetizes by providing the skill's core functionalities via APIs, allowing developers to embed multi-agent collaboration into their own applications. Revenue is generated through pay-per-use API calls or tiered access plans, appealing to tech startups and software vendors.
💬 Integration Tip
Start by integrating the coordinator module to handle message routing, then gradually add task and decision managers as needed, ensuring agents are properly registered with unique IDs.
Scored Apr 19, 2026
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