AI Agent Platforms

Framework for building LLM-powered applications and workflows.

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

Open-source AI software engineering agent for autonomous coding and debugging.

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; pair with the hosted Agents API when you want a managed Codex harness.

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.

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.

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.