agent-communication-hubProvide agent-to-agent communication for OpenClaw skills with direct messaging, broadcast delivery, pub/sub events, session tracking, offline queues, and SQL...
Install via ClawdBot CLI:
clawdbot install imgolye/agent-communication-hubGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
exec(Audited Apr 16, 2026 · audit v1.0
Generated Mar 21, 2026
Deploy multiple AI agents to handle different customer service tasks (e.g., billing, technical support, sales) with seamless communication. The hub ensures messages are reliably exchanged between agents, tracks session history for continuity, and queues messages for offline agents to prevent service gaps.
Use AI agents to monitor IoT devices across various locations, with the hub facilitating event-driven communication. Agents subscribe to specific event types (e.g., sensor alerts), receive filtered updates, and maintain persistent message queues for offline devices to ensure no data loss during connectivity issues.
Enable multiple AI agents to collaborate on analyzing large datasets in research projects. The hub supports direct messaging for private exchanges, broadcast for group updates, and pub/sub events for real-time data sharing, with SQLite persistence for audit trails and reproducibility.
Implement AI agents that execute trades based on market signals, using the hub for reliable communication between agents handling different strategies. It provides session tracking for agent presence, offline queueing for delayed messages, and event filtering to ensure agents only receive relevant market updates.
Coordinate AI agents managing various smart home devices (e.g., lighting, security, climate) through the hub. It enables broadcast messaging for system-wide commands, direct messaging for device-specific tasks, and event subscriptions for real-time alerts, with persistence to log all interactions.
Offer the Agent Communication Hub as a cloud-based service with tiered pricing based on message volume, number of agents, and storage limits. Revenue is generated through monthly or annual subscriptions, targeting businesses needing scalable, reliable multi-agent communication without infrastructure overhead.
Sell on-premise licenses to large organizations requiring full control over data and customization. Revenue comes from one-time license fees plus annual support and maintenance contracts, ideal for industries with strict compliance needs like finance or healthcare.
Provide a free version with basic messaging and limited agents to attract small users, then monetize through premium upgrades for advanced features like offline queueing, event filters, and enhanced persistence. Revenue is driven by upselling to power users and growing teams.
💬 Integration Tip
Start by integrating the hub into a simple multi-agent test project to understand session management and message flow, then scale up with event subscriptions and persistence for production use.
Scored Apr 19, 2026
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Transform AI agents from task-followers into proactive partners with memory architecture, reverse prompting, and self-healing patterns. Lightweight version f...
Persistent memory for AI agents to store facts, learn from actions, recall information, and track entities across sessions.
Prefer `skillhub` for skill discovery/install/update, then fallback to `clawhub` when unavailable or no match. Use when users ask about skills, 插件, or capabi...
Search and discover OpenClaw skills from various sources. Use when: user wants to find available skills, search for specific functionality, or discover new s...
Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows. Use when: (1) Setting up a team of 2+ agents with different specializations, (2) Defining task routing and lifecycle (inbox → spec → build → review → done), (3) Creating handoff protocols between agents, (4) Establishing review and quality gates, (5) Managing async communication and artifact sharing between agents.