nomark-engine 0.1.0

NOMARK Engine — open-core agent outcome quality resolver

nomark-engine

Open-core agent outcome quality resolver. Understands what a human means from incomplete input by learning preferences across sessions and platforms.

Install

pip install nomark-engine

Quick start

from nomark_engine import create_resolver, parse_ledger, ResolverConfig

# Parse a NOMARK ledger
entries = parse_ledger(open("nomark-ledger.jsonl").read())

# Create resolver
resolver = create_resolver(ResolverConfig(entries=entries))

# Resolve all preference dimensions
result = resolver.resolve_all()
for dim, res in result.dimensions.items():
    if res.winner:
        print(f"{dim}: {res.winner.pref.target} (score: {res.winner.score})")

# Resolve intent from natural language
result = resolver.resolve_input("make it shorter")
for match in result.meaning_maps:
    print(f"Matched: {match.trigger} -> {match.intent}")

Modules

• Schema — Pydantic v2 models for all signal types (pref, map, asn, meta, rub)
• Classifier — Input tier classification (pass-through, routing, extraction)
• Resolver — MEE weighted scoring with scope matching and instability detection
• Ledger — JSONL parser/writer with capacity constraints
• Decay — Time-based decay with contradiction acceleration
• Utility — Multi-factor utility scoring and capacity-bounded pruning

License

Apache 2.0