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.

agentfield
77
Verified
agentica
63
Established
Maintenance 22/25
Adoption 10/25
Maturity 22/25
Community 23/25
Maintenance 13/25
Adoption 10/25
Maturity 25/25
Community 15/25
Stars: 881
Forks: 134
Downloads:
Commits (30d): 125
Language: Go
License: Apache-2.0
Stars: 1,002
Forks: 58
Downloads:
Commits (30d): 2
Language: TypeScript
License: MIT
No risk flags
No risk flags

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.

AI-backend-development microservices agent-orchestration system-architecture API-development

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.

AI agent development API integration automation development backend development e-commerce automation

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