openclaw-swarmEnable advanced subagent orchestration with context sharing, state management, parallel tasks, and completion notifications using OpenClaw Swarm features.
Install via ClawdBot CLI:
clawdbot install heldinhow/openclaw-swarmGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/Heldinhow/openclaw-swarmAudited Apr 17, 2026 · audit v1.0
Generated Feb 24, 2026
Simultaneously deploy subagents to gather competitive intelligence from web sources and internal documents, aggregating findings for strategic analysis. This accelerates data collection and ensures comprehensive insights across multiple channels.
Orchestrate subagents to handle different aspects of a complex support ticket, such as technical troubleshooting and billing inquiries, sharing context to provide a unified response. This reduces resolution time and improves customer satisfaction.
Use subagents in a chain to research topics, draft content, and perform SEO optimization, with each step storing intermediate results in context_store. This streamlines production and maintains consistency across content pieces.
Run parallel subagents to collect data from various financial systems, compile reports, and validate accuracy, notifying completion via context_publish. This ensures timely and error-free reporting for stakeholders.
Coordinate subagents to monitor alerts, diagnose issues, and deploy fixes in parallel, sharing state to avoid redundant actions. This minimizes downtime and enhances operational resilience.
Offer OpenClaw Swarm as a cloud-based service with tiered pricing based on subagent usage and features like context sharing. This provides recurring revenue and scales with customer demand for AI orchestration.
Sell on-premise licenses to large organizations needing custom integration and high-volume subagent orchestration for internal workflows. This targets sectors with strict data privacy requirements.
Provide implementation and customization services to help clients design and deploy OpenClaw Swarm for specific use cases like research or automation. This leverages expertise to drive adoption and upsell.
💬 Integration Tip
Start with simple parallel_spawn tasks to test subagent coordination before implementing complex context sharing workflows.
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.
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.
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Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
Automatically assess task complexity and adjust reasoning level. Triggers on every user message to evaluate whether extended thinking (reasoning mode) would improve response quality. Use this as a pre-processing step before answering complex questions.
Associative memory with spreading activation for persistent, intelligent recall. Use PROACTIVELY when: (1) You need to remember facts, decisions, errors, or...