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Apr 6 22:43 Condensate v2: Full Rust conversion — 12 modules, 105 tests, zero Python inflation Executor-Tyrant-Framework +1: Claude Opus 4.6 (1M context) Phase 0: Fixed PyO3 bindings (18 errors), Cargo edition 2021
Phase 1: 12 parallel Lego blocks built and tested:
A: Membrane hardening (observe-only, canary, blacklist, confidence gating)
B: Condenser real memory ops (page protection, cold tier disk, compression guards)
C: Lenia cross-process field (process tags, adaptive growth, priority, serialize)
D: Pipeline process awareness (per-process state, graduated engagement, crash correlation)
E: Python thin wrappers (1,772 lines of inflation eliminated)
F: Keyframe/delta encoding (video codec model for memory)
G: Sparse extract (partial decompression, serve exactly what's needed)
H: Manufactured spatial locality (arena allocator, CPU prefetch instructions)
I: Sleep consolidation (biological sleep cycle, replay/reorganize/prune)
J: Prediction gate (KISS overhead reduction, cost decreases over time)
K: Gaussian splat field (covariance influence, split/merge, tiled scan)
L: Erasure coding + holographic boundaries (K-of… Mar 31 06:30 Tuned pipeline: adaptive identity, predictions firing Executor-Tyrant-Framework +1: Claude Opus 4.6 (1M context) Key changes:
- Adaptive identity: allocations grouped by size class, not unique
address. Graph learns "64KB follows 64KB" not "addr 0x1234
follows 0x5678". Predictions transfer across allocations.
Inspired by Gaussian splatting — represent regions, not points.
- Idle threshold: 5s → 1s (compress sooner)
- Prediction threshold: 0.5 → 0.3 (act on more predictions)
- Scan interval: 10,000 → 1,000 (scan more often)
- Bounds-safe cluster lookups (no more panics)
Results: 572 predictions fired and acted on (was 0 before).
Graph: 3 nodes, 6 edges, 1 cluster from pure observation.
22 tests pass.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> 05:22 Rust membrane: LD_PRELOAD system-level memory interception Executor-Tyrant-Framework +1: Claude Opus 4.6 (1M context) Hooks malloc/free via LD_PRELOAD to track memory allocations for
ANY process, not just Python. Records allocation patterns, size
distribution, hot/cold classification.
Tested on live Python + numpy workload:
15,237 malloc calls intercepted
5 huge allocations (38.1 MB numpy arrays) correctly identified
Size distribution matches actual workload
Feature-gated: --no-default-features builds without PyO3.
All 12 tests pass.
Usage: LD_PRELOAD=libcondensate_core.so ./any_program
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> Mar 30 08:31 Rust core: AccessGraph + RustPredictor with PyO3 bindings Executor-Tyrant-Framework +1: Claude Opus 4.6 (1M context) Phase 2 of Condensate — Rust implementation of Layers 1+2.
AccessGraph: causal edge discovery with Welford online variance,
cluster detection via BFS connected components, successor lists.
RustPredictor: prediction from direct successors + cluster
co-activation. Scoring against access logs.
Benchmarks (release mode, AMD APU):
Small (440 events): 930μs build, 100% accuracy
Medium (972 events): 10ms build, 99% accuracy
Large (1176 events): 30ms build, 95.3% accuracy
Single predict(): 42μs latency
All 9 tests pass (5 unit + 4 bench).
PyO3 bindings ready for pip install via maturin.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> 
