agentfield and agentica
These are complements: AgentField provides the infrastructure for deploying agents as scalable services while Agentica provides the TypeScript framework for building agent function-calling logic that would run within such services.
About agentfield
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.
About agentica
wrtnlabs/agentica
TypeScript AI AI Function Calling Framework enhanced by compiler skills.
This is a framework for TypeScript developers to easily create AI agents that can interact with external tools and systems. It takes existing functions (defined in TypeScript classes, Swagger/OpenAPI documents, or MCP servers) and transforms them into callable actions for an AI model. Developers can then build AI agents that automate tasks like e-commerce transactions or information retrieval, using their existing backend development skills.
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