How Python does AI. Agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end.
- agent-framework
- pydantic
- python
- genai
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Open-source framework for building agentic apps in JavaScript, Go, Dart, and Python, built and used in production by Google
- ai
- genkit
- vector-database
- embedders
an ambient intelligence library
Semantic ifs from open models, on a 3090 at home. Independent; not affiliated with Jev or TypeSafe.
The Ruby AI framework.
A language for constraint-guided and efficient LLM programming.
- chatgpt
- huggingface
- language-model
- programming-language
🤖 Type-safe, provider-agnostic TypeScript AI SDK for streaming chat, tool calling, agents, and multimodal apps across OpenAI, Anthropic, Gemini, React, Vue, Svelte, and Solid.
The pretty much "official" DSPy framework for Typescript
Seamlessly integrate LLMs as Python functions
🤖Self-Modifying Framework from the Future 🔮 World's First AMS
Extract structured data and insights from documents using LLMs and decision models
- ai
- data-extraction
- document-intelligence
- generative-ai
Unified LLM API, structured data outputs with LLMs, and agent SDK - in PHP
Go AI SDK, the Go way. One unified API across 21+ providers. Streaming, structured output, MCP support, stdlib only. Go AI SDK for AI applications inspired by Vercel AI SDK.
The production agent framework for Go — type-safe agents, structured output, multi-provider streaming, guardrails, and multi-agent orchestration with zero core dependencies.