Head to head · Coding · updated Oct 25, 2026
LangChain vs Goose
LangChain scores 89 to Goose's 87 on public evidence for build AI agents (frameworks), and they rank #3 and #4 there. Both are free to start. Numbers below are the same public signals the ranking uses, recomputed nightly — nothing here is sponsored.
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.
89▼ 1
evidence / 100Side by side
public evidence| LangChain | Goose | |
|---|---|---|
| Evidence score / 100 | 89 | 87 |
| GitHub stars | 148,402 | 55,667 |
| Hacker News stories, 30d | 6 | 9 |
| Release-feed mentions, 30d | 0 | 0 |
| Last activity | 0 days ago | 0 days ago |
| Pricing | Open source · Free; LangSmith observability has paid tiers | Open source · Free; bring your own model |
| Platforms | cli, api | cli, mac, linux, windows |
| Maker | LangChain | Block |
Which one?
Pick LangChain if
- you want the stronger public evidence (89 vs 87)
- you need it on api
Best for teams that need many integrations quickly.
Pick Goose if
- you need it on linux, mac, windows
Best for engineers automating tasks beyond pure coding.