LangChain v0.3 vs LlamaIndex v0.11 vs CrewAI: Agent Frameworks 🥊

TL;DR

In a head-to-head comparison, LangChain emerges as the most robust choice among these agent frameworks due to its strong community support and comprehensive feature set, despite facing some usability challenges reflected in open issues. LlamaIndex is a close second with active development but slightly less community traction compared to LangChain. CrewAI rounds out the trio with solid performance and popularity but has more unresolved issues than its competitors.

Detailed Analysis

Performance

LangChain, with its high star count (126.1k) and recent development activities as of February 7th, 2026, demonstrates strong community engagement and active feature enhancements. However, the higher number of open issues (401) raises questions about potential performance bottlenecks or usability challenges. Llama [10]Index scores slightly lower in this category due to fewer stars (46.8k) but shows similar signs of active development with recent updates on February 7th, 2026. CrewAI also demonstrates robust performance indicators but with a higher number of open issues compared to LangChain and LlamaIndex.

Ease of Use

LangChain’s ease-of-use rating is moderate due to its high star count and community support, yet the elevated number of open issues points towards potential difficulties for new users. LlamaIndex [10] has fewer stars (46.8k) but maintains a balanced ease-of-use score with a more manageable issue list compared to LangChain. CrewAI receives the lowest ease-of-use rating among the three due to its relatively high number of open issues, indicating some initial hurdles in getting started.

Ecosystem & Support

The ecosystem and community support for all three frameworks are robust but vary slightly. LangChain leads with a significant GitHub presence (126.1k stars) compared to LlamaIndex (46.8k stars) and CrewAI (43.7k stars). Despite this, the higher number of open issues in LangChain suggests room for improvement in stability and user experience. LlamaIndex and CrewAI maintain strong community engagement but face similar challenges with their open issue counts.

Documentation

Documentation quality is assessed as good across all frameworks based on recent updates and active development cycles. However, the presence of open issues indicates areas where documentation might need enhancement to better support users. LangChain's extensive library and frequent updates are mirrored by LlamaIndex and CrewAI, but the number of unresolved issues suggests potential gaps in clarity or comprehensiveness.

Use Cases

Choose LangChain if:

• You require a comprehensive framework with a wide range of features for integrating large language models into applications.
• Community support and extensive documentation are crucial for your project's success.

Choose LlamaIndex if:

• Your project requires an actively developed, yet possibly more specialized solution that aligns closely with specific use cases like document analysis or chatbot development.
• You prefer a framework with fewer open issues compared to LangChain.

Choose CrewAI if:

• You are looking for a robust agent framework with strong community support and active development but can handle some initial usability challenges reflected in its higher number of open issues.

Final Verdict

The final verdict leans towards LangChain v0.3, despite the presence of more open issues, due to its extensive feature set, high star count on GitHub, and broad application scope. Its strong community support and frequent updates make it a reliable choice for developers seeking to integrate large language models into diverse applications.

Our Pick: LangChain

Our recommendation is based on LangChain's superior ecosystem, documentation quality, and the breadth of its features. Although there are more open issues compared to LlamaIndex and CrewAI, LangChain’s extensive community support and active development cycle suggest that these challenges will be addressed in future updates. For developers prioritizing comprehensive functionality and a supportive community, LangChain stands out as the top choice.