hypit vs unlazy

hypit is much bigger: 18.8k stars against 3.8k. Over the days we have tracked them hypit moved +878.5% and unlazy +220.4%, so hypit is growing faster right now.

They split the axes: hypit leads on customization, unlazy on noise control.

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
18.8k
Tracked growth
+878.5%
Maturity
●●●●●
Last commit
1d ago
Language
TypeScript
License
NOASSERTION
Cost to run
Open-source; can run locally for free, external model API costs may apply.

Implements the Depth Tree decomposition with a strict, evidence-backed runnable gate ledger that enforces approvals and re-verification for substantial agent tasks.

Stars
3.8k
Tracked growth
+220.4%
Maturity
●●●●●
Last commit
29d ago
Language
JavaScript
License
MIT
Cost to run
Free to run locally; external agent API costs may apply
0%+878%41 tracked days
hypit-ai/hypitLeonxlnx/unlazy

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.

Axishypitunlazy
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 + related files
Noise control
How it keeps output volume down — severity thresholds, deduplication, incremental runs over new commits only.
●●●●●
None mentioned
●●●●●
Approval & strict checks
Customization
How far it bends to your team: custom rules, prompts, style guides, per-path config.
●●●●●
Pluggable components
●●●●●
Config files & templates
Privacy
Whether your code stays on your own infrastructure: fully local, self-hostable, or cloud API only.
●●●●●
Fully local option
●●●●●
Self-hostable
Model freedom
Whether you can point it at any provider, or it is wired to one.
●●●●●
Multiple providers
●●●●●
Specific agents
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.

  • Customization: Pluggable components (5/5 against 3/5)
Runs in cli, coding-agent-plugin. Works with openai, anthropic, other-fixed.

Pick unlazy if…

Reproducible verification — use when you need strict, executable acceptance gates, recorded approvals, and re-verification for long-horizon agent work.

  • Noise control: Approval & strict checks (4/5 against 1/5)
Runs in cli, coding-agent-plugin, ci. Works with openai, anthropic.

What people want from each one

Questions people ask

Is hypit better than unlazy?

They split the axes: hypit leads on customization, unlazy on noise control. 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 unlazy keeps my code private?

hypit: Fully local option (5/5). unlazy: Self-hostable (4/5).

What does each one cost to run?

hypit: Open-source; can run locally for free, external model API costs may apply.. unlazy: Free to run locally; external agent API costs may apply.

Full profiles: hypit-ai/hypit and Leonxlnx/unlazy. Everything else in Workflow & graph engines.