The Path › Man pages › awbonsai

awbonsai(runtime, public)

Run a real model in the visitor's own browser — no server round trip, no upload.

Name

awbonsai — Run a real model in the visitor's own browser — no server round trip, no upload.

The problem it solves

Every in-browser LLM demo either phones home for the real answer or downloads a few hundred MB unasked. Getting BOTH right -- genuinely local inference, and a consent gate that runs BEFORE the fetch instead of after -- is the part nobody ships, so most "runs in your browser" claims are marketing for a server call.

Instead of trusting / you check

instead of trusting
that inference always means a request left the machine
you check
a WebGPU model answering on the tab's own GPU, with a consent record logged before it ever loaded

Adopt it alone

Load one page and get an answer from a model that never left the tab.

Install

install
git clone https://github.com/Aitherium/awbonsai

Where it sits in the path

  • Not on the path yet — reference only.

See also

awkit · awsprite · AitherConnect

Links

Source on GitHub · Its own page

Generated 2026-09-14 00:48Z from the ecosystem registry. A field here that is wrong is wrong in the registry — fix it there and this page follows.

One estate, 8 doors

These projects are organs of the same system — the same identity plane, the same agent runtime, the same operational discipline. Follow any of them.

the osaitherium.comThe Living OS these four repos are cut from. Open, no login.pythonAither ADKBuild AI agent fleets — 3 lines, any backend, local or cloud.markdownawskillsPortable agent skills — self-contained procedures an agent loads on demand.markdownawknowledgeHow to run a coding agent so the result survives — the laws, with evidence.cudaaitherkvcacheNear-optimal KV cache quantization for LLM inference — sub-byte compression.powershellAitherZeroPowerShell 7+ automation framework — numbered, self-describing scripts.writingThe BlogHow all of it is actually built, measured and operated.pythonawrunA priority-aware queue and dispatcher for agentic runs and ad-hoc CI builds. It also judges whether the runner pool is big enough for the queue it is draining, and can ask a host to grow it -- reserving capacity is zero-sum, so a saturated pool needs more of it, not a different share of it.

The ecosystem this belongs to

Every Aitherium repository publishes an aither-manifest.json beside its page, and each surface reads all of them — so the network is browsable from any node in it.