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.
Provides a control plane that routes agent calls through REST APIs with built-in structured output validation (Pydantic/Zod schemas), human-in-the-loop pause/approval workflows, and cross-agent discovery. Supports Python, Go, and TypeScript SDKs; agents auto-register with cryptographic identity and produce tamper-proof audit trails. Features async execution with webhooks, canary deployments with traffic splitting, and integrated memory (KV + vector search) without external dependencies.
About agentica
wrtnlabs/agentica
TypeScript AI AI Function Calling Framework enhanced by compiler skills.
Supports three integration protocols—TypeScript classes, Swagger/OpenAPI documents, and MCP servers—allowing developers to compose agents by simply declaring existing functions without manual schema writing. Uses compiler-driven schema generation and automatic JSON Schema conversion across LLM vendors (OpenAI, Gemini, Claude, DeepSeek, Llama), while a selector agent filters candidate functions to optimize token consumption and reduce hallucination errors during function calling.
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