AI Frameworks

Anthropic's TypeScript SDK for building Claude-powered agents. Tool use, multi-turn, and structured output.

Programming framework for LLMs by Stanford. Compile declarative programs into optimized prompts automatically.

Drag-and-drop UI for building LLM flows. No-code/low-code alternative to LangChain with visual pipeline editor.

Open-source AI framework by Google for building AI-powered features in full-stack applications across TypeScript, Go, Py...

Build ML demos and web apps in Python. Share models with auto-generated UI. Hosted on Hugging Face Spaces.

End-to-end NLP framework by deepset. Pipeline-based architecture for search, QA, and RAG applications.

Open-source framework for building LLM-powered applications, agents, and chains with composable components. Provides sta...

JavaScript/TypeScript port of LangChain. Full feature parity with Python version for Node.js and edge runtimes.

Visual framework for building multi-agent and RAG applications. DataStax-backed with cloud deployment option.

Deploy LangChain runnables as REST APIs. Auto-generated docs, playground UI, and streaming support.

Data framework for LLM applications. Specializes in RAG and connecting LLMs to external data sources.

TypeScript framework for AI agents and workflows. Built-in RAG, tool use, and workflow orchestration.

Microsoft's SDK for integrating AI into .NET, Python, and Java apps. Native Azure OpenAI and plugin system.

Spring ecosystem integration for AI. Portable API across providers with Spring Boot auto-configuration.

Python framework for data apps and ML demos. Turn scripts into shareable web apps with minimal code.

A unified TypeScript SDK for building AI-powered applications with text generation, structured output, tool calling, and...