hypit vs langgraph
The two are close in size: 27.7k stars for hypit, 44.4k for langgraph. Over the days we have tracked them hypit moved +1340% and langgraph +13.7%, so hypit is growing faster right now.
hypit leads on context depth and customization and privacy and model freedom. langgraph does not take any axis by a clear margin.
Stars and commit dates come from our own daily tracking. The six axes are read off each project's documentation by our review pipeline, so they describe what a project says about itself, not what we measured in its code.
Where they stand today
An end-to-end, agent-driven video workflow DSL that clones a reference video into editable, re-runnable compositions and ships mass variants (e.g., 100 variants) rather than producing single one-off renders.
- Stars
- 27.7k
- Tracked growth
- +1340%
- Maturity
- ●●●●●
- Last commit
- 17m ago
- Language
- TypeScript
- License
- NOASSERTION
- Cost to run
- Open-source; can run locally for free, external model API costs may apply.
Provides low-level orchestration for long-running, stateful agents with durable execution and human-in-the-loop capabilities that typical stateless workflow engines do not emphasize.
- Stars
- 44.4k
- Tracked growth
- +13.7%
- Maturity
- ●●●●●
- Last commit
- 8h ago
- Language
- Python
- License
- MIT
- Cost to run
- Free, open-source
Six axes, head to head
Each axis runs 0 to 5. The label under a score is what that project's own docs claim, not a category average.
| Axis | hypit | langgraph |
|---|---|---|
Context depth How much of your codebase it sees before it answers: the open diff, the diff plus related files, or the whole repository. | ●●●●● Project directory | ●●●●● Diff only |
Noise control How it keeps output volume down — severity thresholds, deduplication, incremental runs over new commits only. | ●●●●● None mentioned | ●●●●● None mentioned |
Customization How far it bends to your team: custom rules, prompts, style guides, per-path config. | ●●●●● Pluggable components | ●●●●● No config |
Privacy Whether your code stays on your own infrastructure: fully local, self-hostable, or cloud API only. | ●●●●● Fully local option | ●●●●● Third-party cloud |
Model freedom Whether you can point it at any provider, or it is wired to one. | ●●●●● Multiple providers | ●●●●● Fixed provider |
Setup ease What it takes to get a first useful run out of it. | ●●●●● One-command install | ●●●●● One-command install |
Which one to pick
Pick hypit if…
Open-source local workflows — run fully editable video-generation pipelines on your machine and produce many variants from a single command without per-render vendor fees.
- Context depth: Project directory (3/5 against 1/5)
- Customization: Pluggable components (5/5 against 1/5)
- Privacy: Fully local option (5/5 against 1/5)
- Model freedom: Multiple providers (3/5 against 1/5)
Pick langgraph if…
Durable execution — choose LangGraph when you need persistent, stateful agents with human-in-the-loop oversight and production deployment support.
What people want from each one
hypit-ai/hypit
- Script: a comma-grouped number with a hyphenated suffix splits at the comma, so "1,000-word" becomes two caption words and an inner Cue break is accepted 👍 0
- help：Processing a single video exhausted my usage quota; it only managed to process the video frames but didn't get around to rendering. 👍 0
- Commercial licensing / partnership request: AGPL Bufflow with paid multi-tenant hosting 👍 0
langchain-ai/langgraph
Hacker News: We chose LangGraph to build our coding agent drew 83 points and 20 comments.
Questions people ask
Is hypit better than langgraph?
hypit leads on context depth and customization and privacy and model freedom. langgraph does not take any axis by a clear margin. hypit is worth picking when open-source local workflows — run fully editable video-generation pipelines on your machine and produce many variants from a single command without per-render vendor fees.
Which of hypit and langgraph keeps my code private?
hypit: Fully local option (5/5). langgraph: Third-party cloud (1/5).
What does each one cost to run?
hypit: Open-source; can run locally for free, external model API costs may apply.. langgraph: Free, open-source.
Full profiles: hypit-ai/hypit and langchain-ai/langgraph. Everything else in Workflow & graph engines.