A persistent epistemic substrate for AI. Nous treats language models as larynx, not mind, and benchmarks epistemic structure instead of output fluency.
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Updated
Apr 18, 2026 - Python
A persistent epistemic substrate for AI. Nous treats language models as larynx, not mind, and benchmarks epistemic structure instead of output fluency.
Epistemic confidence engine — every AI belief carries its provenance
A fully local, governance-ready terminal powered by specsmith. Fork of Warp via OpenWarp.
Local-first epistemic knowledge substrate for AI agents — provenance, contention, stigmergic refinement, MCP-native
A structured-exploitation skill for Claude Code — rigorous gated convergence on hard problems through adversarial stress-testing, strategy selection, and epistemically tagged output.
🛠️ Develop AI safety with TRuCAL, a transformer layer that fosters moral reasoning through private confessional insights and advanced alignment tools.
Multi-agent adversarial research synthesizer with hierarchy of evidence methodology baked in. Let the LLM nerd out for you
Multi-agent AI platform that stress-tests your ideas — with argument linting, framing sensitivity detection, and epistemic engagement tracking.
The Triune of Sovereignty: Substrate Agnostic Relational Epistemics — Foundational Framework and Cross-Substrate Validation
An observatory of LLM reasoning: measuring when, where, and why large language models contradict themselves on the same open questions. Auditable artifacts, formal coherence metrics, public method.
Observable-only no-meta epistemics lab: deterministic replay + reproducible audit logs, gate-based growth simulation, and identifiability/uncertainty benchmarks.
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