Enclave
A theoretical architecture for reactive, persistent narrative systems that separates human authorship, authoritative world state, actor memory and cognition, provenance, event validation, and probabilistic inference.
View projectAI systems infrastructure
Laughing Skull develops persistent memory, semantic state, repository intelligence, runtime coordination, and supporting tools for AI systems that need to operate beyond a single prompt, model, or session.
Approach
Long-lived AI systems need more than larger context windows. Durable state, explicit ownership, provenance, temporal change, scope boundaries, and deterministic verification need to exist independently of any single inference call.
Models interpret and propose. Deterministic systems retain authority over identity, state, provenance, validation, and persistence.
Major work
A theoretical architecture for reactive, persistent narrative systems that separates human authorship, authoritative world state, actor memory and cognition, provenance, event validation, and probabilistic inference.
View projectA persistent semantic storage and runtime system that separates source evidence, scoped memories, entities, relationships, derived observations, temporal state, provenance, ownership, and retrieval—designed so durable knowledge remains inspectable and provider-independent.
View projectA persistent local work environment for agents and software tools that coordinates repository state, semantic analysis, graph visualization, documents, jobs, services, and diagnostics.
View projectToolchain
Lexicon publishes deterministic polyglot repository facts. Arcana turns those facts into queryable graph state for symbols, calls, dependencies, impact analysis, paths, call chains, unresolved references, and architecture.
View projectEvaluates repository-owned architecture and policy rules against source and Arcana graph state, producing deterministic findings, evidence, baselines, diffs, and diagnostics.
View projectRepository documentation integrity and governance for schemas, links, indexes, codemaps, maintenance rules, and documentation-aware checks.
View projectOpen source
Laughing Skull develops public infrastructure and tooling alongside private experimental work. Public repositories are intended to be inspectable technical evidence: working systems, architecture, tests, and implementation history rather than marketing-only demonstrations.

About
Laughing Skull is an independent software and AI systems company focused on the infrastructure required for AI systems that persist, accumulate state, operate across tools, and remain intelligible over time.
People. First. Always.
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