Epistemics Python Packages

applied-epistemic-engineering

Evidence-centered claim evaluation, adversarial challenge, recovery, and tamper-evident epistemic records.

linkedparticles

Particles reference engine — corpus, LLM claim extraction, belief store, query/lint/review, CLI + HTTP + MCP. PyPI: linkedparticles

linkedparticles-core

Particles client library — schema models, confidence math, candidate extraction, conformance validation, interchange codec. PyPI: linkedparticles-core

whypass

A claim-discipline linter for text — catch assertions that outrun their evidence, and claims that contradict your record. Not a lie detector.

klm-conformance

Open draft standard for attestable knowledge in LLM systems — with a mechanical conformance validator

milcah

Milcah — the Coherence Engine: recursive, multi-LLM coherence pressure-testing of frameworks and worldviews.

nouse

A persistent epistemic substrate for AI. Nous treats language models as larynx, not mind, and benchmarks epistemic structure instead of output fluency.

ourochronos-valence

Local-first epistemic knowledge substrate for AI agents — provenance, contention, stigmergic refinement, MCP-native

veritas-epistemic

Epistemic confidence engine — every AI belief carries its provenance