Jacob Alber 3b81164a6d .NET: fix: MessageMerger crashes when there are no dangling messages (#660)
* fix: MessageMerger crashes when there are no dangling messages

* refactor: Better logic for AgentId in Workflow-as-Agent

If the parent "agent" instance received an Id or Name when being instantiated, we should avoid stomping over it with the subagents' ids. But if there is no parent identifier, and only a single subagent yielded identified messages, pull that in.
3b81164a6d · 2025-09-10 06:10:30 +00:00
297 Commits
2025-09-04 15:00:38 +00:00
2025-04-28 12:54:43 -07:00
2025-09-09 08:40:00 +00:00
2025-04-28 12:54:42 -07:00
2025-09-02 12:18:12 +00:00

Microsoft Agent Framework

Welcome to the Private Preview of Agent Framework!

You're getting early access to Microsoft's comprehensive multi-language framework for building, orchestrating, and deploying AI agents with support for both .NET and Python implementations. This framework provides everything from simple chat agents to complex multi-agent workflows with graph-based orchestration.

📋 Important Setup Information

Package Availability: Public PyPI and NuGet packages are not yet available. You have two options:

Option 1: Run samples directly from this repository (no package installation needed)

  • Clone this repository
  • For .NET: Run samples with dotnet run from any sample directory (e.g., dotnet/samples/GettingStarted/Agents/Agent_Step01_Running)
  • For Python: Run samples from any sample directory (e.g., python/samples/getting_started/minimal_sample.py) after setting up the local dev environment following this guide.

Option 2: Install packages in your own project

Stay Updated: This is an active project - sync your local repository regularly to get the latest updates.

💬 We want your feedback!

Highlights

  • Flexible Agent Framework: build, orchestrate, and deploy AI agents and workflows
  • Multi-Agent Orchestration: group chat, sequential, concurrent, and handoff patterns
  • Graph-based Workflows: connect agents and deterministic functions using data flows with streaming, checkpointing, time-travel, and Human-in-the-loop.
  • Plugin Ecosystem: extend with native functions, OpenAPI, Model Context Protocol (MCP), and more
  • LLM Support: OpenAI, Azure OpenAI, Azure AI Foundry, and more
  • Runtime Support: in-process and distributed agent execution
  • Multimodal: text, vision, and function calling
  • Cross-Platform: .NET and Python implementations

Below are the basics for each language implementation. For more details on python see here and for .NET see here.

More Examples & Samples

Python

.NET

Agent Framework Documentation

Languages
Python 50.9%
C# 45.8%
TypeScript 2.7%
HTML 0.2%
PowerShell 0.1%
Other 0.1%