OpenDecision

OpenDecision is an open-source semantic decision engine that matches images against candidate captions and evaluates rules.

OpenDecision is an open-source semantic decision engine for structured state and documents. It uses SigLIP2 to match images against candidate captions, returning answers and composed actions based on specific rules. The engine tests statements and questions against photos to evaluate conditions like animal presence, bin collection status, and weather. It applies Noul thresholds and choice probabilities to determine rule statuses and simulate corresponding actions. The project provides an image API and setup options for processing visual data locally or via HTTP calls.

OpenDecision at a glance

Best for: Software engineer, Researcher
Runs on: API, self-hosted, open source
Pricing: Free
Released: September 2026
Category: AI research tool
Website: deepanwadhwa.github.io

Key features

Matches images against candidate captions
Evaluates rules using Noul thresholds
Calculates choice probabilities
Simulates actions based on evaluated rules
Provides an image API for testing photos

Use it for

Detecting animals in wildlife surveillance photos
Checking bin conditions for waste management
Identifying fence damage for repair tasks
Monitoring weather conditions and parked cars

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