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Your logic, distilled into pearls. ⚪

15 starsRust

LogicPearl – Synthesizing deterministic executable logic from traces

by kenerwin88·Apr 14, 2026·4 points·4 comments

AI Analysis

●●●BangerBig BrainZero to One

Deterministic rule extraction from traces — same input always produces same output, no tokens.

Strengths
  • Runtime executes extracted rules without model calls — zero tokens, zero improvisation, fully auditable.
  • Produces diffable JSON artifacts with provenance hashes for compliance and version control.
  • Z3 solver integration enables constraint-based rule synthesis from example traces.
Weaknesses
  • Only 4 GitHub stars and 0 forks suggests limited community validation or real-world deployment.
  • Requires normalized input traces — significant upfront work to prepare training examples correctly.
Category
Target Audience

Developers needing auditable decision logic without LLM unpredictability

Similar To

Drools · Microsoft Rules Engine · OpenRules

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