AI Frameworks

Framework for building LLM-powered applications and workflows.

Graph-based orchestration runtime for long-running, stateful agents.

Data framework for connecting LLMs to private and structured data.

Production-ready platform for building and operating LLM apps, agents, and workflows.

Low-code visual builder for LLM apps, agents, and RAG pipelines.

Visual IDE for building LangChain-powered agents, RAG flows, and LLM applications.

Minimal agent library from Hugging Face — simple code agents with tool use.

Agent Development Kit for building multi-agent workflows on Google Cloud and Gemini.

Official OpenAI framework for tool-using agents with handoffs, guardrails, and tracing.

Multi-agent framework that simulates a software company to build applications from requirements.

Open framework for building, deploying, and observing production AI agents.

Microsoft SDK for AI agents with plugins, connectors, and multi-language support.

Framework for programming — not prompting — language models.

Code-first agent framework from Microsoft Research for data analytics and automation.

Type-safe Python agent framework with Pydantic validation and structured outputs.

Open-source dev-first platform for building, managing, and running autonomous AI agents.

End-to-end NLP framework for building production RAG pipelines.

100-line minimalist LLM framework for building agents and workflows in pure Python.

TypeScript framework for agents, tools, and workflows with Studio.

Python framework and AgentOS runtime for agents, teams, and workflows.

Open-source framework for communicating agents and role-playing simulations.

Multi-agent framework with Crews, tasks, and event-driven Flows.

Microsoft framework with AgentChat, Core, Extensions, and Studio for multi-agent systems.

Library for using pretrained transformers in Python and beyond.