agentica and agentmake
Agentica, a TypeScript framework for AI function calling, and AgentMake AI, a kit supporting 24 AI backends and 7 agentic components, are likely **complementary** tools, as Agentica could be used to enhance the compiler skills of agents developed with AgentMake AI's broader backend and component support.
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.
About agentmake
eliranwong/agentmake
AgentMake AI: a kit for developing agentic AI applications that support 24 AI backends and and work with 7 agentic components, such as tools and agents. (Developer: Eliran Wong) Supported backends: anthropic, azure, azure_any, cohere, custom, deepseek, genai, github, github_any, googleai, groq, llamacpp, mistral, ollama, openai, vertexai, xai
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work