- 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
1.4 KiB
OpenClaw
TypeScript/Node.js, ~3.5M lines. The largest codebase analyzed. Personal AI assistant with 25+ messaging channel support.
Architecture: pnpm workspace with ~135 bundled plugins. Gateway control plane routes messages through multi-agent routing. Per-agent sessions, workspaces, skill registries. Companion native apps (macOS, iOS, Android).
Safety model: Tiered — main agent runs tools directly on host (trusted-operator), non-main sessions sandboxed via Docker (read-only rootfs, capability dropping, seccomp/AppArmor, memory/cpu/PID limits, SSH/OpenShell backends).
Data model: Typed JSON/YAML config (openclaw.json). Multi-source model catalog. Plugin SDK with narrow typed subpath exports.
Self-modification: ACP (Agent Control Protocol) for spawning child sessions. Skill system with npm distribution and ClawHub registry.
Verification: None.
Key gap vs Passepartout: Same as Hermes — no gate stack, no knowledge graph, no Org-mode, no verification, no neurosymbolic architecture. Differentiated by vastly broader channel support and mature plugin ecosystem. But architecturally conventional — LLM + tools + channels, no cognitive architecture innovation.
See the full competitive analysis for the landscape view and comparison.