“Azure”

Managed Microsoft Foundry service for building, deploying and scaling AI agents, with a Python client library on PyPI.

Model-agnostic SDK for building agents and multi-agent systems in Python, .NET and Java; Microsoft names Agent Framework as its successor.

CLI-first Python agent framework and coding agent with MCP, A2A and Agent Skills support, live streaming and human input.

Python framework for multi-agent applications where agents with defined roles talk through explicit flows, built on the OpenAI Agents SDK.

OpenAI-compatible agentic API server for inference, vector stores, files and skills, on any model or infrastructure.

Framework for developing, evaluating and benchmarking web agents on BrowserGym benchmarks, with parallel runs through Ray.

Python library that turns files in S3, GCS and Azure into versioned, typed datasets for pipelines and agents.

Typed Python SDK for building agents with swappable model providers, plus optional capabilities for memory, sub-agents, planning and durable execution.

Python toolkit for Vietnamese NLP with a multi-provider agent module that calls LLM APIs using only the standard library.

Python framework for autonomous agents that work in a sandboxed workspace, and task agents with tools and MCP support.

Python multi-agent framework that gives LLM agents software-company roles and SOPs to turn a one-line requirement into a project repository.

Kubernetes-native framework and runtime for building and running AI agents as Kubernetes custom resources.

Open framework for building and hosting production-grade AI agents and multi-agent workflows in .NET and Python.

Python framework and runtime for building agents, serving them over a REST API and MCP server, and managing them from a web control plane.

SDK for building agents in C#, JavaScript and Python that run on channels such as Microsoft Teams and Microsoft 365 Copilot.