agent-network skillA
agent-network is agent-read markdown (skill) from aaaaqwq/agi-super-team: 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..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# 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 ```python 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) …
Read the whole file at its exact version.
How to install
mdr add aaaaqwq/agi-super-team/agent-network@git:20260513.45fcfaemdr add aaaaqwq/agi-super-team/agent-network@sha256:bece56d89ad6b438Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_ksbfzfnldgwmyq5l)
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Versions
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (8180 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
aaaaqwq/agi-super-team · 98 stars · license MIT · pushed 2026-09-23 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_ksbfzfnldgwmyq5l GET https://markdownregistry.com/api/v1/resolve?ref=aaaaqwq/agi-super-team/agent-network GET https://markdownregistry.com/api/v1/blob/bece56d89ad6b438e58a8a01a2a0ddc640cffc404157de2d6db451f3881ee4f5
Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.