LLM-Agents-Papers
★ 2.4k
vs
CrewAI
★ 60.2k
LLM-Agents-Papers vs CrewAI
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.; CrewAI: CrewAI is a lean, lightning-fast Python framework designed for multi-agent automation, independent of other agent frameworks. It empowers developers to build autonomous AI agents with both high-level simplicity and precise low-level control for various scenarios.
01
TL;DR
LLM-Agents-PapersMulti-Agent · ★ 2.4k
For academic researchers seeking comprehensive paper collections on LLM agents.
CrewAIMulti-Agent · ★ 60.2k
When to choose:
- You want a Python framework that combines autonomous role-based agent teams (Crews) with deterministic event-driven workflows (Flows).
- You need built-in checkpointing, structured outputs, human-in-the-loop input, and MCP/A2A support under an MIT license.
When to skip:
- Your stack is .NET or multi-language; Microsoft Agent Framework or Google ADK cover non-Python runtimes.
- You want a lightweight, single-agent loop focused purely on strict Pydantic type validation; Pydantic AI is simpler for that.
02
Side-by-Side Comparison
Field
LLM-Agents-PapersCrewAICategory
Multi-Agent
Multi-Agent
Stars
★ 2.4k
★ 60.2k
License
—
MIT
Install Command
git clone https://github.com/AGI-Edgerunners/LLM-Agents-Papers.git
uv tool install crewai
Updated
1y ago
1d ago
Open Source
Yes
Yes
Tags
LLM Agents, Paper List, AI Research
Multi-Agent Systems, AI Automation, Python
03
Features
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
CrewAI01Standalone & Lean
02Flexible & Precise
03Seamless Integration
04Deep Customization
05Reliable Performance
04
Use Cases
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.
CrewAI↳Write Job Descriptions
↳Trip Planner
↳Stock Analysis
05
Best For
LLM-Agents-Papers—
CrewAIMost PopularEssentialTrending
FAQ
FAQ
What is the difference between LLM-Agents-Papers and CrewAI?
Both LLM-Agents-Papers and CrewAI are in the Multi-Agent category. LLM-Agents-Papers has 2.4k stars, while CrewAI has 60.2k stars.
Which is better, LLM-Agents-Papers or CrewAI?
The best choice depends on your use case. Choose LLM-Agents-Papers if For academic researchers seeking comprehensive paper collections on LLM agents., and CrewAI if Write Job Descriptions.
Is LLM-Agents-Papers free or open source?
Yes, LLM-Agents-Papers is open source on GitHub.
Is CrewAI free or open source?
Yes, CrewAI is open source on GitHub (MIT).
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