Agentic is a TypeScript-native standard library for building AI agents, providing a comprehensive collection of production-ready tools, structured output schemas, and integrations that work seamlessly with any LLM provider or AI framework. It solves the problem of fragmented, inconsistent tooling in the AI agent ecosystem by offering a unified, well-typed, and thoroughly tested set of primitives that developers can plug into their agent workflows without reinventing the wheel. Agentic bridges the gap between raw LLM capabilities and real-world applications by providing the connective tissue that agents need to interact with external services, APIs, and data sources.
Agentic differentiates itself through its TypeScript-first design with full type safety, Zod-based schema validation for structured outputs, and compatibility with virtually any AI SDK including Vercel AI SDK, LangChain, LlamaIndex, Firebase Genkit, Mastra, and more. The library includes a rich set of built-in tools for web scraping, search, email, weather, Wikipedia, Wolfram Alpha, and dozens of other services, all following consistent patterns for error handling, caching, and rate limiting. Every tool is designed to be composable and framework-agnostic, meaning developers can mix and match components without vendor lock-in.
Agentic targets TypeScript and JavaScript developers building AI-powered applications who need reliable, battle-tested tools rather than building custom integrations from scratch. It is particularly valuable for teams constructing autonomous agents, chatbots, RAG pipelines, and multi-agent systems that need to call external APIs and process structured data. The library integrates with the broader Node.js ecosystem and works alongside popular frameworks like Next.js, Express, and Hono, making it a practical choice for full-stack developers adding AI capabilities to existing applications.
