#438 · Primary category: AI Agents & Automation

agentfield

agent agent-auth agent-authentication agent-indentity agent-scaling agentic-ai ai ai-backend aiagent anthropic cloud-native genai go kubernetes llm multiagent multiagent-systems python rag typescript

Build, run and scale AI agents like API and microservices

Project last updated:08/29/26

GitHub Stars

2.5K

Forks

411

Contributors

57

License

Apache-2.0

Why we included this project

Once your agent logic stops fitting in a single script, AgentField gives it a production home. The project turns plain Python, Go, or TypeScript functions into REST endpoints, and a control plane takes over the messy parts: when one request fans out to hundreds of agent calls, it queues, retries, and traces every branch. You can prototype a reasoning agent on your laptop and run the same code at scale without building your own broker or timeout layer. Agents can also call each other or recurse through the platform, which removes a lot of ad-hoc glue in multi-agent setups. If you are serving agents to other systems as an API, the built-in observability and SDKs for the common stacks handle most of the operational plumbing.

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