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eafbee22b7
Project-wide sweep to find and fix every place Lean was treated as secondary,
optional, or subordinate to Python/Rust. The invariant: Lean is the source of
truth. Python and Rust are extraction targets only; they contain no logic, no
invariant checks, no decisions.
Changes:
1-Distributed-Systems/ene/src/lib.rs
- CRITICAL: Remove 'Rust is the canonical implementation language for
operational components' — replace with correct extraction-target framing
1-Distributed-Systems/agents/claw/README.md
- Remove 'canonical implementation lives in rust/' and 'source of truth is
ultraworkers/claw-code' blanket claims — scope to CLI binary only;
add Research Stack domain-logic note (Lean is source of truth per AGENTS.md)
- 'canonical Rust workspace' → 'Rust workspace (I/O extraction target)'
1-Distributed-Systems/agents/claw/src/Tool.py
- 'Python-first porting summary' → 'Lean-to-Python extraction summary'
1-Distributed-Systems/agents/claw/src/projectOnboardingState.py
- python_first: bool = True → lean_first: bool = True (Lean always leads)
6-Documentation/docs/specs/ENE_MEMORY_ATLAS_SPEC.md
- CRITICAL: 'Python first (reference) ... Lean-formal next' → correct order:
Lean specification first, Python extraction shim, Verilog hardware extraction
6-Documentation/docs/recovered/geocognition_equation_types_map.mmd
- 'Lean owns logic; Rust owns boundary' → 'Lean owns all logic and decisions;
Rust is boundary shim only'
6-Documentation/docs/semantics/HYPER_DIMENSIONAL_PHYSICS_INTRO.md
- 'Python implementation ... Lean formalization' → 'Lean specification (source
of truth) ... Python extraction shim'
6-Documentation/docs/geometry/GEOMETRY_TAXONOMY_FOR_NLOCAL_ADAPTATION.md
- 'reference specification for the Python implementation' → 'source of truth;
Python is an extraction shim against this spec'
6-Documentation/docs/protocols/TM_MCP_SPECIFICATION.md
- 'Python reference implementation' → 'Python extraction shim' (×2)
5-Applications/scripts/snn/README.md
- 'deterministic Python reference' → 'Python extraction shim / golden-vector
harness'; add TODO(lean-port) note; RTL must match 'Python shim (pending
Lean golden vector)' not 'Python reference'
6-Documentation/docs/METAPROBE_APPROACH.md
- 'DeltaGCLCompression.lean — Lean implementation / scripts/delta_gcl_encoder.py
— Python reference implementation' → Lean is source of truth / Python is
extraction shim
Generated with Devin (https://cli.devin.ai/docs)
Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>
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| .. | ||
| agents/claw | ||
| ene | ||
| waveprobe | ||
| README.md | ||
1-Distributed-Systems
Purpose: Self-replicating distributed mesh with gossip protocol, consensus, and credential distribution.
Depends on: 0-Core-Formalism (Triumvirate consensus)
Contents (Target)
| Source | Destination |
|---|---|
infra/ene_*.py |
1-Distributed-Systems/ene/ |
data/ene_nodes/ |
1-Distributed-Systems/ene/nodes/ |
data/ene_provenance/ |
1-Distributed-Systems/ene/provenance/ |
Concepts
- ENE (Endless Node Edges) — distributed, self-replicating system
- Gossip Protocol — discovery, heartbeat, credential_sync, replicate
- Shamir-Secret Sharing — credential fragments across nodes
- Consensus — 2/3 majority for credential rotation
Deployment (6-node mesh)
- qfox (primary, 16 cores, 32GB, 1 GPU)
- architect (8 cores, 16GB)
- judge (4 cores, 8GB)
- AWS node (2 cores, 4GB)
- Netcup VPS (4 cores, 8GB)
- Racknerd VPS (2 cores, 4GB)