A short comparison of popular Agent Frameworks

Understanding the rise of Agent Frameworks in 2025

The next wave of AI is agentic, a sweeping tide reshaping the shores of technology and human interaction. Like a powerful current, it pulls everything in its path, transforming how we make decisions, solve problems, and navigate our lives.

Sources:

Key Differences

comparison LLM vs Agent

Use Case Example

Objective

To provide a rating (1-10) for a stock by combining:

  1. Yahoo Finance data: Quantitative financial metrics
  2. Warren Buffett's investment principles: Qualitative evaluation for long-term value investing

Workflow

  1. Data Collection:
    • Gather financial data from Yahoo Finance
    • Apply Buffett's principles to evaluate qualitative aspects
  2. Analysis:
    • Combine quantitative metrics with qualitative insights
    • Assign weights to each factor
  3. Scoring:
    • Develop a formula to compute a final score (1-10)

Framework Comparisons

CrewAI

CrewAI Logo

A popular open source Agent framework with more than 23k ⭐ on GitHub

Ease of Use: ⭐⭐⭐⭐
Performance: ⭐⭐
Deployment: ⭐
User Interface: ⭐
CrewAI use case

AutoGen

AutoGen Logo

Backed by Microsoft with more than 36k ⭐ on GitHub

Ease of Use: ⭐⭐⭐
Performance: ⭐⭐⭐⭐
Deployment: ⭐⭐⭐
User Interface: ⭐⭐⭐
AutoGen use case

LangGraph

LangGraph Logo

Built on LangChain with 7k+ ⭐ on GitHub

Ease of Use: ⭐
Performance: ⭐⭐⭐
Deployment: ⭐⭐⭐⭐
User Interface: ⭐⭐
LangGraph use case

Video Tutorials

CrewAI evaluation

CrewAI Evaluation
LangGraph evaluation

LangGraph Evaluation
AutoGen

AutoGen Deep Dive
Final comparison

Final Comparison

Code Access

Access the full code on GitHub

About Me

Farid Bellameche

Passionate about Generative AI since the launch of ChatGPT in November 2022, I enthusiastically explore the capabilities of this transformative technology. I blog, speak at conferences, co-organize a local Generative AI meetup in Montreal, and run a small YouTube channel dedicated to these experiments.

Feel free to connect with me on LinkedIn!