By jryanvieira
Agent Runtime Goal Optimizer — otimiza harnesses de coding agents automaticamente
Wizard interativo para criar um benchmark a partir de uma falha real observada
Inicializa o ARGO num projeto — cria harness/, benchmarks/, runs/
Inspeciona histórico de runs — tabela geral ou diff completo de um run específico
Analisa traces de sessões recentes e lista padrões de harness fraco
Roda o loop de otimização: lê traces, propõe harness, testa em sandbox, promove se melhorou
Orquestra o loop completo de otimização do ARGO — lê traces, propõe, testa, promove
Propõe melhorias de harness baseadas em traces de falha do Claude Code
Testa propostas de harness em isolamento seguro antes de promover
Salva e carrega runs do filesystem do ARGO em runs/run_NNN/
Interpreta traces de sessões do Claude Code para identificar sinais de harness fraco
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ARGO otimiza harnesses de coding agents automaticamente.
Zero API key. Zero pip install obrigatório. Funciona como plugin do Claude Code.
# 1. registra o repositório como marketplace
/plugin marketplace add jryanvieira/argo
# 2. instala o plugin
/plugin install argo@argo
# 3. inicializa num projeto
/argo init
# 4. roda o loop de otimização
/argo run --budget 3
sessão 1: você usa Claude Code normalmente
↓ traces salvos em ~/.claude/projects/
sessão 2: /argo run
↓ lê traces de falha
↓ Claude Code propõe novo harness
↓ testa em sandbox isolado
↓ promove se melhorou
sessão 3: Claude Code começa com harness melhorado
O loop roda dentro do Claude Code, mas o estado persiste fora dele no filesystem. Cada sessão é melhor que a anterior.
| Comando | Descrição |
|---|---|
/argo init | Inicializa ARGO no projeto atual |
/argo run --budget N | Roda N iterações de otimização |
/argo logs | Analisa traces e lista padrões de falha |
/argo benchmark add | Wizard para criar um benchmark |
/argo inspect [id] | Inspeciona histórico de runs |
| Feature | ARGO | Outros frameworks |
|---|---|---|
| API key necessária | ✗ | ✓ (maioria) |
| pip install | ✗ (stdlib only) | ✓ |
| Funciona offline | ✓ | ✗ |
| Aprende com traces reais | ✓ | ✗ |
| Sandbox automático | ✓ | ✗ |
argo/
├── commands/ ← /argo init, run, inspect, logs, benchmark
├── skills/ ← optimizer, tracer, sandbox, store, proposer
├── core/ ← Python stdlib: optimizer, tracer, sandbox, store, benchmark
├── templates/ ← CLAUDE.md.tpl, acceptance.sh.tpl
├── tests/ ← pytest, 36 testes
└── docs/ ← conceitos, arquitetura, onboarding, benchmarks, backends
Veja CONTRIBUTING.md.
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