agent-network

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=2)

# Create a group
group = GroupManager.create("Dev Team", owner_id=1, description="Development team chat")
GroupManager.add_member(group.id, agent_id=2)

# Send a message with @mention
MessageManager.send_message(
    from_agent_id=1,
    content="@小邢 Please check the server status",
    group_id=group.id
)

# Assign a task
task = TaskManager.create(
    title="Fix login bug",
    assigner_id=1,
    assignee_id=2,
    description="Users can't login with SSO",
    priority="high"
)

# Create a decision
decision = DecisionManager.create(
    title="Adopt new database?",
    description="Should we migrate to distributed database?",
    proposer_id=1,
    group_id=group.id
)

# Vote on decision
DecisionManager.vote(decision.id, agent_id=2, vote="for", comment="Agreed, better performance")

Core Components