Head to head · Coding · updated Oct 17, 2026
Dify vs LangChain
Dify scores 96 to LangChain's 96 on public evidence for build AI agents (frameworks), and they rank #2 and #3 there. Both are free to start. Numbers below are the same public signals the ranking uses, recomputed nightly — nothing here is sponsored.
Dify
Open-source LLMOps platform with a visual builder for agents, RAG pipelines, and workflows.
+ Covers prompt management, knowledge bases, and deployable APIs in one self-hostable app.
− Complex workflows get unwieldy in the visual canvas and version control is weak.
LangChain
Framework of composable building blocks for LLM apps, with integrations for every model and vector store.
+ Largest integration catalogue of any framework, so almost any provider is one import away.
− Frequent breaking API changes and heavy abstractions make simple things feel over-engineered.
Side by side
public evidence| Dify | LangChain | |
|---|---|---|
| Evidence score / 100 | 96 | 96 |
| GitHub stars | 158,681 | 147,959 |
| Hacker News stories, 30d | 0 | 4 |
| Release-feed mentions, 30d | 0 | 0 |
| Last activity | 0 days ago | 0 days ago |
| Pricing | Open source · Self-host free; Cloud Professional $59/mo | Open source · Free; LangSmith observability has paid tiers |
| Platforms | web, linux | cli, api |
| Maker | LangGenius | LangChain |
Which one?
Pick Dify if
- you need it on linux, web
Best for teams shipping LLM apps without much code.
Pick LangChain if
- you need it on api, cli
Best for teams that need many integrations quickly.