Build, run and scale AI agents like API and microservices - observable,auditable and identity-aware from day one.
AgentField is an open-source control plane written in Go that treats AI agents as first-class backend services, exposing each agent function as a REST endpoint with routing, async execution, memory, and cryptographic audit trails baked in. Developers write agent logic in Python, Go, or TypeScript using an SDK, then AgentField handles production concerns including canary deploys, multi-agent coordination, and human-in-the-loop approval flows via webhook-triggered execution pauses. It integrates directly with Claude through the Anthropic API, specifying models such as claude-sonnet-4, and its Harness orchestration layer supports multi-turn coding workflows inside Claude Code alongside other coding agents. A single slash command, /agentfield, typed into a coding agent generates a complete Docker Compose stack with a wired control plane and a callable REST endpoint. Every agent receives a cryptographic identity, and every decision produces a traceable audit trail, making the project most relevant to engineering teams deploying multi-agent systems in Kubernetes environments where observability and accountability are operational requirements.
- ✓Open-source license (Apache-2.0)
- ✓Actively maintained (<30d)
- ✓Healthy fork ratio
- ✓Clear description
- ✓Topics declared
- ✓Documented (README)
git clone https://github.com/Agent-Field/agentfield && cp agentfield/*.md ~/.claude/agents/1 items en este repositorio
Design and ship a multi-agent system on AgentField. Use when the user asks to build, scaffold, design, or run an agent, reasoner network, multi-agent backend, or "an agent that does X" — whenever the work would otherwise be a single LLM call or a flat LangChain/CrewAI/AutoGen chain. The skill produces composite intelligence: a deep, dynamic, parallel reasoner graph with a working `docker compose up` smoke test.
Resumen de Subagents
Lo que la gente pregunta sobre agentfield
¿Qué es Agent-Field/agentfield?
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Agent-Field/agentfield es subagents para el ecosistema de Claude AI. Build, run and scale AI agents like API and microservices - observable,auditable and identity-aware from day one. Tiene 2.2k estrellas en GitHub y se actualizó por última vez today.
¿Cómo se instala agentfield?
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Puedes instalar agentfield clonando el repositorio (https://github.com/Agent-Field/agentfield) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar Agent-Field/agentfield?
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Nuestro agente de seguridad ha analizado Agent-Field/agentfield y le ha asignado un Trust Score de 100/100 (tier: Verified). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene Agent-Field/agentfield?
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Agent-Field/agentfield es mantenido por Agent-Field. La última actividad registrada en GitHub es de today, con 94 issues abiertos.
¿Hay alternativas a agentfield?
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Sí. En ClaudeWave puedes explorar subagents similares en /categories/agents, ordenados por popularidad o actividad reciente.
Despliega agentfield en tu cloud
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