wrtnlabs/agentica

Health v2 · maintenance only

Adoption not part of the score

1041 stars · 62 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Agentica is a TypeScript agentic AI framework specialized in LLM function calling, enhanced by compiler-driven validation via typia. Agents are built by simply listing functions from TypeScript classes, Swagger/OpenAPI documents, or MCP servers, without complex agent graphs or workflows.

Use cases

• build an AI chatbot that calls my backend REST APIs from a swagger document
• create an agent from TypeScript class functions without writing agent graphs
• turn an OpenAPI spec into a conversational shopping assistant
• connect an MCP server as tools for an LLM agent
• add validation feedback so the LLM fills function arguments correctly
• build a function-calling agent with OpenAI or Claude in Node.js
• scaffold an agentic AI project with a CLI boilerplate

When to choose

• you are a TypeScript developer wanting to build LLM agents from existing classes or OpenAPI/Swagger APIs
• you want function-calling agents without designing complex workflow graphs
• you need MCP server integration as agent tools
• you want compiler-validated function arguments with automatic retry feedback

When to avoid

• you need a non-TypeScript/JavaScript stack
• you require fine-grained control over multi-agent orchestration graphs
• your project depends on Yarn Berry, which is unsupported
• you need a framework with a large mature ecosystem beyond early-stage tooling

Facets

framework · maturity active

agent-framework llm-inference rag chatbot sdk mcp large-language-models chatbots web-development developer-tools cross-platform function-calling openapi swagger typia agentic-ai multi-agent openai anthropic nestia react-native ai-agents retrieval-augmented-generation nodejs typescript

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For agents

markdown · JSON · MCP: product_card(name="wrtnlabs/agentica")