Agent-Field/agentfield
Framework for AI Backend. Build and run AI agents like microservices - scalable, observable, and identity-aware from day one.
This is a framework for developers to build and deploy AI agents as robust backend services, similar to how they'd manage microservices. It takes agent logic written in Python, Go, or TypeScript and provides the infrastructure for scaling, coordinating, and observing these agents. Software architects and backend developers building AI-powered applications will use this to manage complex AI workflows in production.
881 stars. Actively maintained with 125 commits in the last 30 days. Available on PyPI.
Use this if you are a software architect or backend developer building AI applications and need a scalable, observable, and auditable way to deploy AI agents.
Not ideal if you are looking for a no-code/low-code solution or primarily building simple chatbots without complex backend integration needs.
Stars
881
Forks
134
Language
Go
License
Apache-2.0
Category
Last pushed
Mar 13, 2026
Commits (30d)
125
Dependencies
11
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