OpenClaw Orchestrator
OpenClaw Orchestrator
A multi-agent orchestration system where a central commander agent coordinates specialized sub-agents (researcher, analyzer, coder, assistant) to execute complex tasks autonomously, including web interaction and real-world action simulation.
Project Overview
A multi-agent orchestration system where a central commander agent coordinates specialized sub-agents (researcher, analyzer, coder, assistant) to execute complex tasks autonomously, including web interaction and real-world action simulation.
System Architecture
Commander–Subagent Orchestration
Commander Agent (Orchestration)
Researcher Agent (Data Gathering)
Analyzer Agent (Reasoning)
Coder Agent (Execution)
Assistant Agent (Coordination)
Input → Task Decomposition → Delegation → Parallel Execution → Result Aggregation
System Capabilities
Deployment & Portability
Containerized via Docker
PicoClaw variant for constrained hardware
Cross-platform compatibility
Core Features
Commander–subagent architecture for distributed task execution
Specialized agents (researcher, analyzer, coder, assistant) working collaboratively
Autonomous workflow execution with task delegation and result aggregation
Browser interaction capabilities including search and simulated transactions
Telegram-based control interface for remote task triggering
Lightweight execution using PicoClaw (~10MB RAM footprint)
Cross-platform deployment (Raspberry Pi + low-end systems + Windows)
Containerized architecture using Docker for portability
Project Impact
Designed scalable agent orchestration model for automation workflows
Optimized for low-resource environments without sacrificing capability
Bridges AI agents with real-world task execution (web + system actions)
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