Engineering Teams, Startups, CTOs
The first autonomous AI software engineer.
Better if you specifically need ai engineers and software architects building complex, reliable multi-agent systems with state persistence..
View LangGraph→Offers the most features for the lowest barrier to entry.
By Cognition AI
Devin is a tireless, autonomous AI software engineer capable of planning and executing complex engineering tasks requiring thousands of decisions. It comes equipped with its own command line, code editor, and browser to work alongside human engineers.
By LangChain
LangGraph is a library by LangChain for building stateful, multi-agent applications. It allows you to model your agent workflows as graphs, providing granular control over cycles, memory, and error handling.
| Feature | Devin | LangGraph |
|---|---|---|
| Autonomous Task Execution | check_circle | remove |
| Cyclic Workflow Graphs | remove | check_circle |
| Human-in-the-Loop Controls | remove | check_circle |
| Integrated Dev Environment | check_circle | remove |
| Multi-Agent Orchestration | remove | check_circle |
| Self-Learning | check_circle | remove |
| Stateful Persistence & Checkpointing | remove | check_circle |
LangGraphverifiedDevinLangGraphverifiedDevinLangGraphverifiedDevinLangGraphverifiedDevinLangGraphverifiedDevinLangGraphverifiedDevinWe analyze tools across multiple dimensions including speed, ease of use, and feature set. Devin tends to shine in raw performance and speed, while LangGraph offers strong competition particularly in specialized workflows.
Check their website for the latest pricing.
Combine Devin with these tools for maximum efficiency.
Leverage LangGraph's strengths with this specialized stack.
Framework for building multi-agent conversations.
Let language models run code on your computer.
Choosing between Devin and LangGraph comes down to your primary use case. If your focus is on engineering teams, then Devin provides a more robust and polished experience. Conversely, if you specifically need ai engineers and software architects building complex, reliable multi-agent systems with state persistence. and value first-class support for cyclic graphs, enabling true iterative agent self-correction and reasoning loops., LangGraph is the clear winner.
Ideal for engineering teams, startups, ctos who prioritize built-in sandboxed environment.
Best for ai engineers and software architects building complex, reliable multi-agent systems with state persistence. looking for built-in checkpointing enables powerful time-travel debugging and pause-and-resume workflows..
Common questions about comparing these tools.
