Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Master-Worker Agent Cluster for parallel task execution. Use when building distributed agent systems with parallel processing needs, task orchestration, or M...
Master-Worker Agent Cluster for parallel task execution. Use when building distributed agent systems with parallel processing needs, task orchestration, or M...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Master-Worker Agent Cluster with parallel task execution and secure parent-child communication.
Use agent-weave when you need to: Build distributed agent systems with parallel processing Orchestrate multiple agents working together Implement MapReduce-style workflows Scale task execution across worker agents Build master-worker architectures
npm install agent-weave
const { Loom } = require('agent-weave'); // Create cluster const loom = new Loom(); const master = loom.createMaster('my-cluster'); // Create workers const workers = loom.spawnWorkers(master.id, 5, async (data) => { // Process data return { result: data * 2 }; }); // Execute tasks const results = await master.dispatch([1, 2, 3, 4, 5]); console.log(results);
# Create master weave loom create-master --name my-cluster # Spawn workers weave loom spawn --parent <master-id> --count 5 # List agents weave loom list --tree
Master-Worker Architecture: Orchestrate multiple worker agents Parallel Execution: Distribute tasks across workers Secure Communication: Parent-child relationship enforcement MapReduce Support: Built-in map-reduce workflows Auto-scaling: Dynamic worker management Event-driven: EventEmitter-based communication
Factory for creating and managing agents.
Manages a cluster of worker agents.
Executes tasks assigned by the master.
Secure communication layer between agents.
Task orchestration engine for MapReduce workflows.
MIT
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.