Files
hermes-brain/projects/passepartout/strategy/competitors/ai-agents-scoping/codex-cli.org
Hermes 6e992cc0c5 Restructure three-pronged → knowledge-layers: collapse 11 files to 3, integrate into main architecture
- 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
2026-06-04 19:09:44 +00:00

1.4 KiB

Codex CLI

OpenAI's open-source coding agent. Rust, ~950K lines, sandboxed.

Architecture: ~116 crate Rust workspace with a protocol layer (SQ/EQ session types), sandbox manager (macOS Seatbelt, Linux nsjail), multi-provider support, configurable TUI.

Safety model: Most sophisticated safety system of any coding agent analyzed. Multi-layer: process hardening (macOS Seatbelt with 4 profile tiers), execution policy engine, sandboxing via nsjail/Seatbelt, Guardian module for tool permission gating. No prompt-based safety — all deterministic through policy definitions.

Data model: Protocol-defined session types. Structured request/response models. Config through TOML files with schema validation.

Self-modification: Protected by sandbox — the agent cannot escape to modify its own binary or config without explicit policy override.

Verification: None (no proof system).

Key gap vs Passepartout: No knowledge graph, no persistent memory model, no deterministic gate stack for agent behavior (only OS-level sandboxing), no ACL2/prover, no neurosymbolic architecture. Strongest sandbox but weakest cognitive architecture.

See the full competitive analysis for the landscape view and comparison.