agent-hiveCreate and manage multi-agent teams in OpenClaw with shared workspace, budget governance, and mesh networking. Use when: (1) adding a new agent to an existin...
Install via ClawdBot CLI:
clawdbot install nissan/agent-hiveGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 21, 2026
A marketing agency uses Agent Hive to manage a team of AI agents for content generation, editing, and SEO optimization. Each agent handles a specific role (e.g., writer, editor, strategist) with shared memory for brand consistency and budget governance to control costs across client projects.
A tech startup employs Agent Hive to coordinate multiple AI agents for coding, testing, and documentation tasks. The mesh networking allows agents to spawn peers for code reviews or bug fixes, while budget rules prevent overspending on token usage during development sprints.
An e-commerce company implements Agent Hive to deploy AI agents for handling customer inquiries, returns, and feedback analysis. Agents share a workspace for common knowledge bases, with hub-and-spoke permissions to ensure controlled responses and audit logs for compliance tracking.
A financial institution uses Agent Hive to manage a committee of AI agents for data analysis, report generation, and risk assessment. The budget governance enforces daily token limits, and earned mesh permissions promote trusted agents to collaborate directly on complex analyses.
An online learning platform leverages Agent Hive to create and update course materials with AI agents specializing in subject matter, instructional design, and quality assurance. Shared resources like memory and projects ensure consistency, while spawn permissions allow parallel task execution within budget constraints.
Offer Agent Hive as a cloud-based service where businesses pay a monthly fee per agent or team size. Revenue comes from tiered plans based on features like advanced governance, audit logs, and priority support, targeting SMEs needing scalable AI team management.
Sell on-premise or custom deployments of Agent Hive to large corporations with strict data security needs. Revenue is generated through one-time licensing fees and annual maintenance contracts, including integration support and custom feature development.
Provide professional services to help organizations set up and optimize Agent Hive for specific use cases like marketing or R&D. Revenue streams include project-based fees, training workshops, and ongoing optimization retainer agreements.
💬 Integration Tip
Start with a hub-and-spoke model for controlled testing, then transition to mesh networking as agents demonstrate budget responsibility; regularly run audit scripts to monitor spending and adjust permissions.
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.