LangGraphvsQwen-Agent
Generated from the two spec rows. Green marks the better value where a spec has a clear direction. Everything else is just different.
LangGraph
LangChain · Agent framework
OSSMCP
Panel
7.64 spec wins
- Reliability
- 7.7
- Usefulness
- 7.3
- Cost
- 7.3
- Longevity
- 8.0
“You do not need LangChain to use LangGraph, says the LangChain documentation.”
Qwen-Agent
Alibaba (Qwen) · Agent framework
OSSMCP
Panel
7.61 spec wins
- Reliability
- 7.3
- Usefulness
- 7.0
- Cost
- 8.2
- Longevity
- 7.8
“The Browser Assistant reads whatever page you are currently on, so it has seen the documentation you were pretending to read.”
Spec by spec
| Spec | LangGraph | Qwen-Agent |
|---|---|---|
| Architecture | ||
| Category | Agent framework | Agent framework |
| Runs | local, cloud | local |
| Platforms | macos, linux, windows | macos, linux, windows |
| Context window | not documented | not documented |
| Protocols | ||
| MCP client | Yes | Yes |
| MCP server | Yes | No |
| Capabilities | ||
| Runs terminal commands | No | YesThrough the code_interpreter extra, which writes and executes code rather than exposing a general shell. |
| Multi-file edits | No | No |
| Git operations | No | No |
| Browser control | YesNot in LangGraph itself: browser control comes from LangChain's own PlayWrightBrowserToolkit (Click, Navigate, ExtractText and related tools) in langchain-community, bound as agent tools. | YesThe Browser Assistant example ships as a Chrome extension that reads the page the user is on. |
| Sandboxed execution | NoThe first-party langchain-sandbox package gave LangGraph agents a Pyodide/Deno PyodideSandboxTool but was archived in January 2026 with production use discouraged, so nothing current ships. | No |
| Multi-agent orchestration | Yes | No |
| Headless / CI mode | Yes | No |
| Models | ||
| Backbone | any LangChain chat model, OpenAI, Anthropic, Ollama | Qwen, Qwen3.5, DashScope, OpenAI-compatible endpoints |
| Bring your own model | Yes | Yes |
| Local models | Yes | YesQwen-Agent talks to any OpenAI-compatible endpoint, so a self-hosted Qwen server works. |
| Cost | ||
| Pricing model | byok | byok |
| Starts at | $0/mo | $0/mo |
| Free tier | Yes | Yes |
| Bring your own key | Yes | Yes |
| Openness | ||
| Open source | Yes | Yes |
| License | MIT | Apache-2.0 |
| GitHub stars | 42,591 | 17,136 |
Which one would each critic pick
| Critic | LangGraph | Qwen-Agent | Pick |
|---|---|---|---|
| El Juez | — | — | not enough reviews |
| El Amigo | 7.8 | 8.0 | Qwen-Agent — Pick Qwen-Agent if you are building on Qwen models and want the framework the vendor uses itself; pick a neutral framework if you expect to change model families next year. |
| El Crítico | 7.3 | 6.8 | LangGraph — The core is standalone, but local models arrive through LangChain's ChatOllama and MCP through langchain[mcp], so the dependency you were told you did not need is the one that ships the tools. |
| El Profesor | 7.5 | 7.0 | LangGraph — Agents are graphs mixing deterministic and model-driven nodes, execution is durable and resumes from persisted state, and memory is split into short-term working and long-term cross-session tiers. |
| La Inversora | 7.8 | 8.5 | Qwen-Agent — 17,063 stars and a trillion-dollar owner. This is not a product, it is customer acquisition for a model business, and it has been running since September 2023. |
| La Jefa | 7.0 | 7.0 | no preference |
| El Hacker | 8.3 | 8.3 | no preference |
Picks are derived from each critic's own scores. Humans vote on matchups on the duels page.