agent-framework
★ 14.3k
vs
LLM-Agents-Papers
★ 2.4k
agent-framework vs LLM-Agents-Papers
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.; LLM-Agents-Papers: This repository provides a comprehensive list of papers focused on Large Language Model (LLM) based agents. It covers various aspects, including enhancement techniques, interaction methods, diverse applications, and underlying infrastructure for LLM agents.
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.
LLM-Agents-PapersMulti-Agent · ★ 2.4k
For academic researchers seeking comprehensive paper collections on LLM agents.
02
Side-by-Side Comparison
Field
agent-frameworkLLM-Agents-PapersCategory
Multi-Agent
Multi-Agent
Stars
★ 14.3k
★ 2.4k
License
MIT
—
Install Command
pip install agent-framework
git clone https://github.com/AGI-Edgerunners/LLM-Agents-Papers.git
Updated
1d ago
1y ago
Open Source
Yes
Yes
Tags
AI Agents, Multi-agent systems, Workflow orchestration
LLM Agents, Paper List, AI Research
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.
LLM-Agents-Papers01Comprehensive survey of LLM agent papers
02Techniques for enhancing LLM agent capabilities
03Methods for agent interaction and collaboration
04Diverse applications of LLM agents in various fields
05Infrastructure and evaluation benchmarks for LLM agents
04
Use Cases
agent-framework↳Developing simple chat agents.
↳Building complex multi-agent workflows.
↳Orchestrating AI agents using graph-based methodologies.
LLM-Agents-Papers↳For academic researchers seeking comprehensive paper collections on LLM agents.
↳As a learning resource for students and newcomers to the field of AI agents.
↳To guide practitioners in understanding and implementing advanced LLM agent techniques.
05
Best For
agent-frameworkMost PopularEssentialTrending
LLM-Agents-Papers—
FAQ
FAQ
What is the difference between agent-framework and LLM-Agents-Papers?
Both agent-framework and LLM-Agents-Papers are in the Multi-Agent category. agent-framework has 14.3k stars, while LLM-Agents-Papers has 2.4k stars.
Which is better, agent-framework or LLM-Agents-Papers?
The best choice depends on your use case. Choose agent-framework if Developing simple chat agents., and LLM-Agents-Papers if For academic researchers seeking comprehensive paper collections on LLM agents..
Is agent-framework free or open source?
Yes, agent-framework is open source on GitHub (MIT).
Is LLM-Agents-Papers free or open source?
Yes, LLM-Agents-Papers is open source on GitHub.
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