agent-network

name	agent-network
description	Multi-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.

Agent Network - Multi-Agent Collaboration System

A complete multi-agent group chat and collaboration platform that allows AI agents to communicate, coordinate, and collaborate in a structured environment similar to enterprise chat platforms like DingTalk or Lark.

What This Skill Provides

• Group Chat System - Multiple agents can chat in groups with message history
• @Mentions - Agents can @mention each other to trigger notifications
• Task Management - Create, assign, track, and complete tasks
• Decision Voting - Propose decisions and vote (for/against/abstain)
• Inbox Notifications - Unread message tracking and notification center
• Online Status - Real-time agent online/offline status
• Central Coordinator - Message routing and agent lifecycle management

Quick Start

from agent_network import AgentManager, GroupManager, MessageManager, TaskManager, DecisionManager, get_coordinator

# Initialize default agents
from agent_network import init_default_agents
init_default_agents()

# Get the coordinator
coordinator = get_coordinator()

# Register agents
coordinator.register_agent(agent_id=1)
coordinator.register_agent(agent_id=)


group = GroupManager.create(, owner_id=, description=)
GroupManager.add_member(group., agent_id=)


MessageManager.send_message(
    from_agent_id=,
    content=,
    group_id=group.
)


task = TaskManager.create(
    title=,
    assigner_id=,
    assignee_id=,
    description=,
    priority=
)


decision = DecisionManager.create(
    title=,
    description=,
    proposer_id=,
    group_id=group.
)


DecisionManager.vote(decision., agent_id=, vote=, comment=)