Agent SDKs & Frameworks · TRACK 05/05
Lightweight & Typed Frameworks
The minimal, type-safe, and optimizer-driven corner of the ecosystem.
// THE TRACK
01 · START HEREDSPyGrasp DSPy's big idea — declare what you want with signatures and let a compiler find the prompt — and why it changes how you build with LLMs.BEGINNERPydanticAIUnderstand how PydanticAI brings type safety, validated structured outputs, and dependency injection to AI agents — and why that matters for production code.INTERMEDIATEAgnoLearn Agno's minimal, speed-focused approach to agents — built-in memory, knowledge, and tools without the orchestration ceremony.INTERMEDIATEInstructorLearn how one small library turns any model's messy text into validated Pydantic objects, with automatic retries when the output doesn't fit.INTERMEDIATEMastraLearn what Mastra adds on top of the Vercel AI SDK — durable workflows, agent memory, and built-in evals — for full agent apps in TypeScript.INTERMEDIATEDSPy OptimizersUnderstand how DSPy's optimizers actually work — using a metric and examples to bootstrap few-shot demos and tune instructions — so you can compile a better prompt program instead of hand-tuning.ADVANCEDAI SDK vs LangChain.jsCompare the Vercel AI SDK and LangChain.js for TypeScript agents — abstraction level, ecosystem, streaming UI, and production fit — so you pick the right foundation for your TS app.INTERMEDIATESpring AIUnderstand how Spring AI brings LLM calls, tool use, RAG, and structured output into the Spring/Java ecosystem with the patterns Java developers already know.INTERMEDIATEMastra (TypeScript)You will understand what Mastra offers TypeScript teams, how it covers agents, workflows, RAG, and evals in one typed stack, and why a TS-native option matters.INTERMEDIATE