Agent Framework — AI Agent Review & Live Stats

Live GitHub stats, community sentiment, and trend data for Agent Framework. TrendingBots tracks star velocity, fork activity, and what developers are saying — updated from real data sources.

GitHub data synced: Apr 2, 2026 • Sentiment updated: Unknown

GitHub Statistics

• GitHub Stars: 8,383
• Forks: 1,400
• Open Issues: 737
• Primary Language: Python
• License: MIT
• Weekly Star Velocity: +186 stars/week

Why Agent Framework Stands Out

Microsoft Agent Framework stands out from alternative frameworks by providing a comprehensive and flexible platform for building, orchestrating, and deploying AI agents and multi-agent workflows. Its graph-based orchestration capabilities and support for multiple agent providers make it an ideal choice for complex AI applications. Additionally, its built-in OpenTelemetry integration and DevUI package provide a unique set of features that simplify the development and deployment of AI workflows.

Built With

Build a multi-agent workflow that automates data processing and analysis — Microsoft Agent Framework enables this by providing graph-based orchestration with support for Python and .NET, Build a conversational AI chatbot that integrates with various LLM providers — Microsoft Agent Framework supports multiple agent providers and allows for flexible middleware systems, Build a research agent that reads and summarizes large volumes of text — Microsoft Agent Framework's Azure OpenAI Responses Client enables this by providing a simple interface for interacting with Azure OpenAI services, Build a distributed tracing and monitoring system for AI workflows — Microsoft Agent Framework's built-in OpenTelemetry integration enables this by providing a standardized way of tracking and monitoring workflow execution, Build a custom agent development environment with interactive UI — Microsoft Agent Framework's DevUI package enables this by providing a developer-friendly interface for building, testing, and debugging agents

Getting Started

1. Install the Microsoft Agent Framework using pip: `pip install agent-framework --pre`
2. Import the necessary modules and authenticate with Azure CLI using `az login`
3. Create a simple Azure Responses Agent using the `AzureOpenAIResponsesClient` class
4. Configure the agent by setting the endpoint, deployment name, and API version using environment variables or passing them directly to the `AzureOpenAIResponsesClient` constructor
5. Try running the agent using the `run` method to verify it works, such as `print(await agent.run('Write a haiku about Microsoft Agent Framework.'))`

About

A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.

Official site: https://aka.ms/agent-framework

Category & Tags

Category: multi-agent

Tags: agent-framework, agentic-ai, agents, ai, dotnet, multi-agent, orchestration, python, sdk, workflows