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 in this repository
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.
Subagents overview
What people ask about agentfield
What is Agent-Field/agentfield?
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Agent-Field/agentfield is subagents for the Claude AI ecosystem. Build, run and scale AI agents like API and microservices - observable,auditable and identity-aware from day one. It has 2.2k GitHub stars and was last updated today.
How do I install agentfield?
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You can install agentfield by cloning the repository (https://github.com/Agent-Field/agentfield) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is Agent-Field/agentfield safe to use?
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Our security agent has analyzed Agent-Field/agentfield and assigned a Trust Score of 100/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.
Who maintains Agent-Field/agentfield?
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Agent-Field/agentfield is maintained by Agent-Field. The last recorded GitHub activity is from today, with 94 open issues.
Are there alternatives to agentfield?
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Yes. On ClaudeWave you can browse similar subagents at /categories/agents, sorted by popularity or recent activity.
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