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feat: P0-P3 RDT architecture enhancements#61

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bdzjie wants to merge 6 commits intokyegomez:mainfrom
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feat: P0-P3 RDT architecture enhancements#61
bdzjie wants to merge 6 commits intokyegomez:mainfrom
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@bdzjie bdzjie commented Apr 25, 2026

Summary

Implemented comprehensive P0-P3 enhancements for OpenMythos RDT architecture:

P0: Multi-Scale Loop + Curriculum Learning

  • DepthSelector: complexity-aware loop depth selection
  • CurriculumLoopScheduler: 4-phase curriculum learning (4→8→12→16)

P1: FlashMLA + Cross-Layer KV Sharing

  • SDPA-based attention (FlashAttention-compatible)
  • Cross-layer KV sharing via shared cache keys

P2: Speculative Decoding

  • SpeculativeRDTDecoder class with verification logic
  • OpenMythos.speculative_generate() convenience method

P3: Hierarchical Loop + Meta-Learning

  • AdaptiveScaleSelector for multi-scale processing
  • HierarchicalRecurrentBlock with top-down broadcast
  • MetaLoopPredictor for complexity-aware loop weighting
  • MetaLoopRecurrentBlock with adaptive loop importance

Training Enhancements

  • LoopConsistencyRegularizer
  • CapacityAwareRouter
  • TaskConditionedMoE
  • OpenMythosEnhanced wrapper

Files Changed

  • open_mythos/main.py (+600 lines)
  • docs/, examples/, training/ infrastructure

Testing

Local testing completed successfully.

Q仔 added 6 commits April 25, 2026 07:26
P0: Multi-scale recurrent block & curriculum learning
- DepthSelector: dynamic loop depth selection (4/8/16)
- CurriculumScheduler: 4-stage curriculum (4→8→12→16)

P1: FlashMLA & cross-layer KV sharing
- SDPA-based attention (FlashAttention-compatible)
- Cross-layer KV sharing via shared cache keys

P2: Speculative decoding
- SpeculativeRDTDecoder class
- OpenMythos.speculative_generate() convenience method

P3: Hierarchical loop & meta-learning
- AdaptiveScaleSelector for multi-scale processing
- HierarchicalRecurrentBlock with top-down broadcast
- MetaLoopPredictor for complexity-aware loop weighting
- MetaLoopRecurrentBlock with adaptive loop importance
…n.py

- Add P0 config fields to MythosConfig (loop_depths, complexity thresholds, curriculum params)
- Add DepthSelector class: complexity-aware loop depth selection
- Add CurriculumLoopScheduler class: 4-phase curriculum learning
- File grew from 1970 to 2160 lines, 22 classes total
Merged classes:
- LoopConsistencyRegularizer: loop consistency regularization
- CapacityAwareRouter: capacity-aware MoE routing
- TaskConditionedMoE: task-conditioned mixture of experts
- OpenMythosEnhanced: unified wrapper for all enhancements

Skipped (already in main.py or redundant):
- ComplexityAwareLoopDepth (≈ DepthSelector)
- MultiScaleRecurrentBlock (≈ RecurrentBlock)
- FlashMLAAttention (use_flash_mla flag)
- CrossLayerKVCache (_get_shared_cache_key)
- SpeculativeRDTDecoding (≈ SpeculativeRDTDecoder)
- MetaLearnedLoopDepth (≈ MetaLoopPredictor)
Added:
- docs/: API documentation, RAG enhancement proposal
- examples/: Context, search, evolution, memory, tools examples
- training/: P0 curriculum, enhanced training, benchmark scripts
- benchmarks/: Benchmarking infrastructure
- serving/: Model serving scripts
- shell/: Shell integration tools
- open_mythos/cli/: CLI agent implementation
- open_mythos/config/: Configuration system
- open_mythos/evolution/: Auto-evolution system
- open_mythos/integration/: External integrations
- open_mythos/persistence/: JSON/SQLite persistence
- open_mythos/rag/: RAG implementation
- open_mythos/search/: Hybrid search with reranking
- open_mythos/tests/: Test suite
- open_mythos/tools/: Tool registry and built-in tools
- open_mythos/web/: Web dashboard

Removed:
- open_mythos/main_p0.py (merged into main.py)

Total: 103 files, +35208 lines
- Removed residual section header comment that was left after code cleanup
- Verified syntax with py_compile
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