Harnesses & SDKs

Go framework for AI agents with memory, tool execution, MCP, agent skills, multi-agent patterns and evaluation.

Rust framework with an agent harness, typed task graphs and streaming indexing and RAG pipelines for LLM applications.

Python framework for durable AI agents built as dataflows that resume after crashes, retry safely and record each step.

Open agent harness for AI applications, with a YAML-configured coding agent, sessions, tools, MCP support and a CLI.

Python agent framework for OpenAI-compatible agents with tools, memory, MCP connections, multi-agent collaboration and workflows.

Framework for AI agents and multi-agent networks where a router picks which agent runs, with tools and MCP support.

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

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.

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