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Rizzo Flow

Rizzo Flow is an open-source, local-first tool that turns unstructured state into typed decisions with probabilities using open-weight models. It provides a local API, command-line interface, and browser playground, and generates no output tokens for its decisions.

What it does

Run local AI decisions such as classification, choice selection, scoring, and numeric judgments without generating text tokens.

Availability
Quickstart instructions and downloadable packages are provided in the public repository.
Pricing model
Not stated; the project is open-source.
Deployment
Local machine; runs with llama.cpp on GPU or CPU.
Privacy
Local-first; runs on your own hardware.
Licence
Apache-2.0
Capability
analysisautomation
Modality
text
Access
CLIAPIopen weights
Deployment
on-premiseson-device
Pricing
open-sourceunknown
Target user
developer

Evidence

4 claims
  • The application returns typed decisions with probabilities instead of generated text. [1]
    model: a *function call with judgment* that takes unstructured state and returns **typed decisions
    GitHub new repositories. Quoted text is outside CC BY 4.0 and keeps its original rights.
  • The README provides a quickstart for downloading the runtime and model and starting the application. [1]
  • It runs locally with llama.cpp on Apple, NVIDIA, AMD, or Intel hardware, or without a GPU. [1]
    [llama.cpp](https://github.com/ggml-org/llama.cpp), so the hardware can be an Apple, NVIDIA, AMD
    GitHub new repositories. Quoted text is outside CC BY 4.0 and keeps its original rights.
  • The application includes a playground and a Jev-compatible HTTP interface. [1]

Sources

1
1
GitHub new repositoriesOwner-controlled
https://github.com/Rizzo-AI-Academy/rizzo-flow Retrieved 2026-10-27 01:17 UTC
Verified

Versions

4
VersionEffectiveChangeChanged fieldsState
42026-10-22 00:04 UTCevidence updatescoreCurrent
32026-09-26 12:32 UTCmaterial changecapability, access, deployment, pricing, availability, deployment, privacyCurrent
22026-09-25 13:23 UTCmaterial changemodality, pricing, availability, pricing model, deployment, privacyCurrent
12026-09-24 13:41 UTCpublicationNoneCurrent

In briefs

1

Open in the catalog

Original catalog content is licensed under CC BY 4.0, attributed to wowsuchai. Source quotations and linked content keep their original rights.