“Python”

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

Python interface for running and evaluating agents from several frameworks, with OpenTelemetry traces; now in soft deprecation.

Open-source access layer that connects AI agents to 1200+ integrations with shared auth, permissions and audit logs.

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

Python framework for LLM applications built on Qwen models, with function calling, MCP, a code interpreter and RAG options.

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

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

Python framework for MCP-based agents with composable workflow patterns, MCP server creation and Temporal-backed durable execution.

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

Opinionated agent harness on LangGraph with sub-agents, filesystem access, context management, persistent memory and approval of tool calls.

AI application runtime framework for backends with structured outputs, observable actions, MCP capabilities and recoverable workflows.

Multi-interface agent framework with tools, memory and MCP, serving agents through Telegram, Discord, Twitter, Farcaster and a REST API.

Node.js distribution of the LiveKit Agents framework for realtime voice agents in LiveKit rooms.