6e992cc0c5
- Rename 'three-pronged' folder to 'knowledge-layers' — prong metaphor
was misleading (implied parallel tines), replaced with epistemic layers
(deductive base, empirical middle, probabilistic oracle — vertical stack)
- Collapse 11 overlapping files into 3 coherent documents:
- knowledge-layers/_index.org: core framework (two engines + one store,
World Model formula, 0-14 layer table, provenance store design,
conflict resolution, cold-start, stage mapping)
- knowledge-layers/practical-implications.org: design-world-aware-of-
physics, 10 powers, Schafmeister existence proof, epistemic transparency
- knowledge-layers/neurological-empirical.org: neural networks in
provenance framework (kept intact)
- Relocate wolfram/mathematica and Schafmeister docs to ideas/viability/
- Integrate into main architecture _index.org:
- Gate: expanded from two vectors (ACL2+LLM) to three (deductive,
provenance/empirical, LLM oracle)
- Autodidactic loop: split into Track 1 (deductive hardening, fast)
and Track 2 (empirical validation, slow, experimental-feedback-driven)
- See also: added Knowledge Layers cross-reference
- Add all-lisp geometry engine note (ideas/lisp-geometry-engine.org) as
concrete illustration of the empirical layer's effect on design work
- Rebuild site: 148 files, 0 errors
1.8 KiB
Claude Code
Anthropic's proprietary coding agent. TypeScript/Bun, ~512K lines (leaked source analysis). Not open source.
Architecture: Bun-bundled TypeScript single-file executable. Ink/React terminal UI. 23+ core tools. Subagent forking with byte-identical API prefixes for prompt cache sharing. Multi-agent coordination mode.
Safety model: Layered deterministic safety — NOT prompt-based: 7 permission modes, persistent permission rules (alwaysAllow/alwaysDeny/alwaysAsk from 4 sources), bash security validator at 2,592 lines with 23+ named security checks using tree-sitter AST parsing, sandbox runtime, path/mode validation, optional ML bash classifier. This is the most sophisticated safety system of any coding agent analyzed.
Data model: File-based markdown memdir at ~/.claude/projects/<slug>/memory/. 4 memory types: user, feedback, project, reference. YAML frontmatter in .md files. PROJECT.md and CLAUDE.md for project config. No database.
Self-modification: HIGH. Skill system writes SKILL.md files. Plugin system, cron scheduling, agent spawning.
Verification: None.
Key gap vs Passepartout: No proof system, no neurosymbolic architecture, no self-verification, no persistent knowledge graph (flat markdown files, not Org-mode with cross-references), markdown data model lacks semantic depth. Proprietary — Anthropic controls it completely. The permission rules system is impressive but structurally inferior to Passepartout's gate stack because rules are heuristic (regex-based pattern matching) rather than typed (type-level gates with structural guarantees).
See the full competitive analysis for the landscape view and comparison.