agent-ops-frameworkProduction-grade multi-agent team orchestration framework. Define agent roles, task pipelines, quality gates, and monitoring dashboards. Inspired by Google V...
Install via ClawdBot CLI:
clawdbot install xueyetianya/agent-ops-frameworkGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
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https://bytesagain.comAudited Apr 16, 2026 · audit v1.0
Generated Mar 20, 2026
A development team uses the framework to manage feature development, code reviews, and deployments across multiple AI agents. The orchestrator assigns tasks to a dev agent for implementation, passes deliverables to a QA agent for testing, and finally to a deploy agent for release, ensuring structured workflows and quality gates.
A media company employs the framework to orchestrate content creation, editing, and publishing. Agents handle writing, fact-checking, and formatting tasks, with the orchestrator enforcing review steps and tracking progress through a centralized state store to maintain consistency and accountability.
A customer service department utilizes the framework to route and resolve support tickets. Agents are assigned roles for triage, technical resolution, and follow-up, with the orchestrator monitoring task lifecycles and ensuring tickets move through defined quality gates before closure.
A data science team applies the framework to manage data collection, analysis, and reporting tasks. Agents perform data cleaning, model training, and visualization, with the orchestrator coordinating pipelines and enforcing checks for data integrity and output validity.
A marketing agency uses the framework to plan and execute multi-channel campaigns. Agents handle content creation, audience targeting, and performance monitoring, with the orchestrator overseeing task assignments and quality gates to ensure timely and effective campaign delivery.
Offer the framework as a cloud-based service with tiered pricing based on the number of agents, tasks, or projects. Revenue is generated through monthly or annual subscriptions, targeting teams needing scalable multi-agent orchestration without infrastructure management.
Sell perpetual licenses or annual contracts to large organizations for on-premises deployment. Revenue comes from upfront license fees and ongoing support or maintenance packages, catering to industries with strict data security or compliance requirements.
Provide professional services to customize the framework for specific client workflows, integrate with existing systems, and offer training. Revenue is generated through project-based fees or hourly rates, appealing to businesses with unique operational needs.
💬 Integration Tip
Integrate the framework by setting up the state store as a shared resource and using its CLI commands to automate agent interactions within existing CI/CD pipelines or project management tools.
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.
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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.