Building the semantic substrate for intelligent systems
The Semantic Infrastructure Lab builds the missing foundation that enables intelligent systems to reason with explicit meaning, not just statistical patterns.
Contemporary AI systems are powerful but structurally incomplete. They lack:
- Explicit meaning - Stable, inspectable semantic structures
- Persistent memory - Durable continuity across tasks
- Inspectable reasoning - Traceable chains of inference
- Cross-domain composition - Audio, CAD, simulation working together
- Verifiable provenance - Clear lineage of transformations
SIL builds this missing layer: the Semantic Operating System.
Think of it like Linux for computation, but for meaning. A 6-layer architecture providing semantic memory, universal representations, deterministic execution, multi-agent coordination, and transparent interfaces.
Status: 12 projects, 4 in production, 3,100+ tests, used daily in real workflows.
reveal - Progressive code exploration that reduces AI agent token usage by 86%:
pip install reveal-cli
reveal your_code.pySee structure first (50 tokens) instead of reading entire files (500+ tokens). Progressive disclosure applied to code.
More production tools → - morphogen, tiacad, genesisgraph
→ Complete Documentation - Philosophy, architecture, research, and guides
Quick links:
- Founder's Letter (5 min) - Why SIL exists
- Manifesto (15 min) - What we're building
- FAQ - Common questions answered
- Unified Architecture Guide (30 min) - How it all fits together
→ Project Index - All 12 projects mapped to the Semantic OS architecture
→ Contributing Guide - How to get involved
Layer 5: Human Interfaces reveal, browserbridge
Layer 4: Deterministic Engines morphogen, riffstack
Layer 3: Agent Orchestration agent-ether
Layer 2: Domain Modules morphogen, tiacad, riffstack, sup
Layer 1: Universal Semantic IR pantheon
Layer 0: Semantic Memory semantic-memory
Cross-Cutting: Provenance genesisgraph, prism
Read the complete architecture →
- Code: Apache 2.0 - Use commercially, fork, modify
- Documentation: CC BY 4.0 - Share freely with attribution
- Email: scott@semanticinfrastructurelab.org
- GitHub: github.com/semantic-infrastructure-lab
- Website: semanticinfrastructurelab.org
Make meaning explicit. Make reasoning traceable. Build structures that last.