A high-performance multi-agent implementation framework that uses parallel execution and automated task coordination to scale software development.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install agent-swarm-workflow
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install agent-swarm-workflow using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Agent Swarm Workflow?
The Agent Swarm Workflow is a sophisticated implementation strategy for Openclaw Skills that enables a distributed swarm of fungible AI agents to work simultaneously on a single project. By treating every agent as a generalist and providing a unified AGENTS.md context, the swarm becomes a robust, self-organizing unit. This framework leverages the power of parallel processing to move from planning to execution at a pace unattainable by single-agent systems.
At its core, this workflow relies on specialized coordination layers including NTM for session management, Agent Mail for communication and file locking, and Beads for task tracking. It ensures that while agents are autonomous, they remain synchronized through persistent messaging and automated triage tools, effectively eliminating communication purgatory and maximizing code output quality.
Agent Swarm Workflow Use Cases
- Scaling feature development by distributing tasks across 3-6 agents simultaneously.
- Implementing deep quality assurance loops through automated cross-agent code reviews.
- Generating comprehensive e2e and unit test coverage for complex logic branches.
- Executing large-scale UI/UX polish cycles inspired by world-class design standards.
- Maintaining high-velocity development in repositories where file-level conflicts must be managed autonomously.
How Agent Swarm Workflow Works
- Initialize the environment by ensuring a comprehensive plan and polished beads are ready for execution.
- Spawn a multi-agent swarm using NTM to create dedicated tmux sessions for different models like Claude Code or Codex.
- Distribute initial marching orders that instruct agents to read the project context and register with Agent Mail.
- Use the bv tool with robot flags to automatically triage the task graph and assign the most impactful beads to available agents.
- Agents utilize file reservation patterns within Agent Mail to prevent editing conflicts and announce their current work threads.
- Implement a quality loop where agents perform self-reviews, cross-reviews of peers, and random code exploration until no bugs are detected.
- Execute logical commits with detailed messaging, linking code changes back to the original bead IDs through automated analysis.
Agent Swarm Workflow Setup
To deploy this workflow within your Openclaw Skills environment, follow these steps:
# 1. Start the Agent Mail server
am --run-server
# 2. Spawn a swarm with a mix of agent models
ntm spawn myproject --cc=3 --cod=2 --gmi=1
# 3. Send the initial marching orders to all active agents
ntm send myproject --all "$(cat initial_prompt.txt)"
Ensure that your AGENTS.md file is fully configured with tool blurbs and that the bv tool is accessible in the agents' path.
Agent Swarm Workflow Data Schema & Taxonomy
The workflow organizes metadata and task state across several key entities to ensure swarm coherence:
| Component | Data Managed | Purpose |
|---|---|---|
| AGENTS.md | System Prompts & Tools | Central source of truth for agent behavior and tool capabilities. |
| BEADS | Task Graph | Tracks task dependencies, priorities (using bv), and completion status. |
| Agent Mail | Communication Logs | Stores inter-agent messages and file reservation tokens. |
| NTM | Session State | Manages the lifecycle of multiple agent processes and terminal windows. |
| Git Metadata | Commit History | BV analyzes commit streams to link code changes to specific bead IDs. |
Agent Swarm Workflow Advanced Features
- Autonomous robot triage using
bv --robot-nextto pick the single most impactful task without human intervention. - Multi-model diversity support, allowing Opus, GPT, and Gemini agents to collaborate on the same bead graph.
- Automated context re-establishment loops following agent memory compaction to maintain tool proficiency.
- Stripe-level UI/UX scrutiny prompts that force agents to hyper-optimize for both desktop and mobile modalities.
- Real-time file reservation system that provides exclusive write access to specific paths, preventing merge collisions.
SKILL.md
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