agent-framework
★ 14.3k
vs
Awesome-AI-Agents
★ 1.3k
agent-framework vs Awesome-AI-Agents
agent-framework: Microsoft Agent Framework is a comprehensive multi-language framework for building, orchestrating, and deploying AI agents. It supports both .NET and Python, offering features from simple chat agents to complex multi-agent workflows with graph-based orchestration.; Awesome-AI-Agents: This repository is an awesome list of open-source projects, frameworks, and resources dedicated to AI agents. It categorizes various applications like autonomous and multi-agent task solvers, agent society simulations, and development tools.
01
TL;DR
agent-frameworkMulti-Agent · ★ 14.3k
When to choose:
- You are starting a new Microsoft-ecosystem agent project in Python or .NET and want the official successor to AutoGen.
- You need built-in workflow checkpointing, middleware, OpenTelemetry tracing, declarative YAML agents, and a DevUI under MIT.
When to skip:
- You only need a small, single-file Python agent without a multi-package framework; Pydantic AI is lighter.
- You rely on Chinese LLM providers and realtime voice pipelines out of the box; AgentScope has dedicated support for those.
Awesome-AI-AgentsMulti-Agent · ★ 1.3k
Automating complex software development tasks from requirements to code.
02
Side-by-Side Comparison
Field
agent-frameworkAwesome-AI-AgentsCategory
Multi-Agent
Multi-Agent
Stars
★ 14.3k
★ 1.3k
License
MIT
—
Install Command
pip install agent-framework
git clone https://github.com/Jenqyang/Awesome-AI-Agents.git
Updated
1d ago
1d ago
Open Source
Yes
Yes
Tags
AI Agents, Multi-agent systems, Workflow orchestration
LLM Agents, Multi-Agent Systems, AI Frameworks
03
Features
agent-framework01Graph-based Workflows with streaming, checkpointing, human-in-the-loop, and time-travel capabilities.
02AF Labs for experimental features including benchmarking, reinforcement learning, and research initiatives.
03Interactive DevUI for agent development, testing, and debugging workflows.
04Full framework support for both Python and C#/.NET with consistent APIs.
05Built-in OpenTelemetry integration for distributed tracing, monitoring, and debugging.
Awesome-AI-Agents01Comprehensive list of autonomous AI agent projects for task solving.
02Collection of multi-agent systems designed for collaborative task execution.
03Resources for simulating AI agent societies and interactions.
04Frameworks for building, customizing, and deploying AI agents.
05Benchmarks and evaluators for assessing LLM-based agent performance.
04
Use Cases
agent-framework↳Developing simple chat agents.
↳Building complex multi-agent workflows.
↳Orchestrating AI agents using graph-based methodologies.
Awesome-AI-Agents↳Automating complex software development tasks from requirements to code.
↳Conducting autonomous online research and comprehensive data analysis.
↳Simulating and studying social interactions and behaviors within AI agent societies.
05
Best For
agent-frameworkMost PopularEssentialTrending
Awesome-AI-AgentsTrending
FAQ
FAQ
What is the difference between agent-framework and Awesome-AI-Agents?
Both agent-framework and Awesome-AI-Agents are in the Multi-Agent category. agent-framework has 14.3k stars, while Awesome-AI-Agents has 1.3k stars.
Which is better, agent-framework or Awesome-AI-Agents?
The best choice depends on your use case. Choose agent-framework if Developing simple chat agents., and Awesome-AI-Agents if Automating complex software development tasks from requirements to code..
Is agent-framework free or open source?
Yes, agent-framework is open source on GitHub (MIT).
Is Awesome-AI-Agents free or open source?
Yes, Awesome-AI-Agents is open source on GitHub.
Cloud Infrastructure
AdDeploy on DigitalOcean
Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.
→