The AI SDK is the TypeScript toolkit designed to help developers build AI-powered applications and agents with React, Next.js, Vue, Svelte, Node.js, and more. It is a framework-agnostic toolkit that aims to simplify integrating AI models across providers and to support building AI-powered experiences.
The AI SDK standardizes integrating artificial intelligence (AI) models across supported providers. This enables developers to focus on building great AI applications, not waste time on technical details. It also includes a harness abstraction for using established agent harnesses such as Claude Code, Codex, and Pi through HarnessAgent.
The AI SDK has surfaces for Core API, UI hooks, and harnesses: AI SDK Core provides a unified API for generation and tooling, AI SDK UI offers hooks for chat interfaces, and Harnesses provide uniform access to agent harnesses across providers.
Templates and starter kits demonstrate the AI SDK integrations for different use cases and frameworks, including starter templates and semantic examples to accelerate development.
Adaptive Engine evaluates, tunes, and serves LLMs for enterprise AI, using reinforcement learning to optimize models and production feedback.
Prompt Octopus compares model responses side-by-side, with a VSCode extension and API key options for use in your codebase.
Antigma provides self-contained, self-organizing agents for developers, with Ante as an autonomous coding agent that runs locally or cloud-backed, in a terminal and via various interfaces.
Lingo.dev is a localization engineering platform for product teams to measure translation quality, choose translation providers, and manage localization…
Zipy provides AI-powered session replays, error tracking, performance monitoring, and product analytics for developers and product teams.
Miko is a self-hosted AI coding agent that connects Slack, Linear, GitHub, and GitLab to coding agents, enabling task assignment and pull-request reviews.