Modern software development is fractal. Every feature touches 5-10 contexts

simultaneously. A single LLM struggles to maintain multi-domain coherence.

This is the problem Agent Swarm solves.

9 Agents, One Pipeline

Unlike single-agent tools, Swarm is a pipeline where 9 specialized AI agents

collaborate automatically, each with a precise role and strict constraints:

Orchestrator, Search, Planner, Contract, Front, Back, Tester, Reviewer, Writer.

Automatic Classification into 5 Routes

The Orchestrator uses mandatory pre-search: extracts technical terms, runs

parallel grep on the codebase, and counts distinct files touched. No LLM

guessing its own difficulty. Routes: DIRECT → SIMPLE → ADAPT → MEDIUM → FULL.

Real Example: 8 minutes vs 2-4 hours

"Add a Recent Updates section to the homepage" → 8 files touched → MEDIUM.

Planner designs 5-step plan. Front+Back implement in parallel. Tester ensures

80% coverage. Reviewer audits (security >=1.0, quality >=0.85). Merge automatic.

Results

• 5-8x cheaper than single-agent (specialization reduces context 80%)


• MIT licensed, built for OpenCode


• Full wiki:
  
  cp -r agent-swarm/.opencode/* ~/.opencode/
  
  cp agent-swarm/opencode.json ~/.config/opencode/opencode.json
  
  
  

  
  
  
  Configure API keys, restart OpenCode
  

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