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Ollaya runs local decision models in a single forward pass

ollaya.dev 5 min read Editor score 7/10

Ollaya runs decision models locally without token-by-token generation; its example reports about 10 ms end to end for five questions on an RTX 4090. Fast local decisions could be useful in agent workflows where each action needs a lightweight risk check.

What: Ollaya is an open-source local runtime for decision models that answer typed questions about text or JSON.
How: Models return calibrated choice, score, or yes/no answers in a single forward pass; Ollaya also serves a TypeSafe-compatible API.
Why it matters: Local execution offers millisecond decisions on a user’s own hardware and lets the TypeSafe Python SDK work unchanged against the local server.

A TypeSafe SDK request reaches a local Ollaya model through its compatible endpoint. Sketched from the article's own text.

Read on ollaya.dev → Hacker News · 137 comments

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