ruvector/examples/benchmarks
Claude 0bd75e31b8 feat(rvf): rvf-solver-wasm — self-learning AGI engine compiled to WASM
Compiles the complete three-loop adaptive solver to wasm32-unknown-unknown
(160 KB, no_std + alloc). Preserves all AGI capabilities:

- Thompson Sampling two-signal model (safety Beta + cost EMA)
- 18 context buckets with per-arm bandit stats
- Speculative dual-path execution
- KnowledgeCompiler with signature-based pattern cache
- Three-loop architecture (fast/medium/slow)
- SHAKE-256 witness chain via rvf-crypto

12 WASM exports: create/destroy/train/acceptance/result/policy/witness.
Handle-based API supports 8 concurrent solver instances.

ADR-039 documents the integration architecture.
Benchmark binary validates WASM against native solver.

https://claude.ai/code/session_01RnwD4x5cbpB7FPvoyYQz8G
2026-02-16 00:43:12 +00:00
..
src feat(rvf): rvf-solver-wasm — self-learning AGI engine compiled to WASM 2026-02-16 00:43:12 +00:00
tests feat(generator): posterior-targeting puzzle generation, weekday skipping PolicyKernel 2026-02-15 22:31:12 +00:00
Cargo.toml feat(rvf): rvf-solver-wasm — self-learning AGI engine compiled to WASM 2026-02-16 00:43:12 +00:00