AG-UI vs LangChain
Side-by-side comparison of two AI agent tools
A
AG-UIopen-source
AG-UI: the Agent-User Interaction Protocol. Bring Agents into Frontend Applications.
LangChainopen-source
Reference implementations of several LangChain agents as Streamlit apps
Metrics
| AG-UI | LangChain | |
|---|---|---|
| Stars | 16.1k | 1.6k |
| Star velocity /mo | 1.3k | 2.085561497326203 |
| Commits (90d) | 1.6k | 0 |
| Releases (6m) | 10 | 0 |
| Overall score | 0.8387813390195111 | 0.17284075350185735 |
Pros
- +Multiple complete, working examples covering diverse agent patterns from basic chat to complex document Q&A systems
- +Ready-to-deploy Streamlit applications with live demos available for immediate testing and exploration
- +Demonstrates best practices for LangChain-Streamlit integration including callback handling, memory management, and user feedback collection
Cons
- -Some examples use potentially unsafe tools like PythonAstREPLTool that are vulnerable to arbitrary code execution
- -Limited to the LangChain ecosystem and may not showcase integration with other agent frameworks or libraries
- -Most examples require external API keys and services to run fully, creating setup barriers for immediate testing
Use Cases
- •Rapid prototyping of conversational AI agents with interactive web interfaces for testing and demonstration
- •Building document Q&A systems that can chat about custom content and provide contextual answers from uploaded files
- •Creating natural language interfaces for database queries and data analysis tools
FAQ
- Which is more popular, AG-UI or LangChain?
- AG-UI has more GitHub stars (16,145 vs 1,643).
- Which is more actively developed, AG-UI or LangChain?
- AG-UI had more commits in the last 90 days (1,568 vs 0).
- Should I use AG-UI or LangChain?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.