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Copilot AI commented Feb 2, 2026

Extends nn.ecma with learnable filesystem operations inspired by Plan9, combined with reservoir computing for temporal patterns and membrane computing for hierarchical structure. Enables neural networks to learn and predict file access patterns, cache decisions, and prefetch priorities.

Architecture

E9FSLayer: Differentiable filesystem operations (open/read/write/close/stat)

  • Path and content embeddings via learned encoders
  • Operation-specific neural parameters
  • Cache attention mechanism
  • Hierarchical path resolution
  • Prefetch prediction network

E9NFSContainer: Integration layer

  • E9FSLayer → ReservoirLayer (temporal sequence modeling)
  • ReservoirLayer → MembraneLayer (hierarchical structure)
  • Auxiliary prediction heads (next access, cache decision, prefetch priority)

Usage

const e9nfs = new nn.E9NFSContainer(32, 64, 50, 4, 16);

// Process filesystem operations
const output = e9nfs.forward([
  { operation: 'open', path: '/src/index.js', mode: 'r' },
  { operation: 'read', path: '/src/index.js' },
  { operation: 'open', path: '/src/utils.js', mode: 'r' }
]);

// Get predictions from learned patterns
console.log(output[2].predictions.shouldCache);    // 0.85 (high confidence to cache)
console.log(output[2].predictions.nextAccess);      // Embedding vector for predicted next path

Novel Contributions

  • First differentiable filesystem operations with gradient-based learning
  • Combines three paradigms: Echo State Networks (temporal), Membrane Computing (hierarchical), Plan9 (uniform interface)
  • 6 learnable parameter sets enable adaptation to access patterns without manual tuning

Testing

109 tests covering operations, temporal patterns, hierarchical modeling, predictions, and state management. All passing with 0 security vulnerabilities (CodeQL verified).

Files

  • src/modules/E9FSLayer.js - Core filesystem operations module
  • src/containers/E9NFSContainer.js - Integrated architecture
  • test/test_e9nfs.js - Comprehensive test suite
  • examples/e9nfs_demo.js, examples/e9nfs_smart_editor.js - Usage demonstrations

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Copilot AI and others added 3 commits February 2, 2026 04:34
Co-authored-by: danregima <10253941+danregima@users.noreply.github.com>
Co-authored-by: danregima <10253941+danregima@users.noreply.github.com>
Co-authored-by: danregima <10253941+danregima@users.noreply.github.com>
Copilot AI changed the title [WIP] Explore extending nn.ecma for learnable plan9 filesystem operations Add E9NFS: Learnable Plan9 filesystem operations with neural temporal and hierarchical modeling Feb 2, 2026
Copilot AI requested a review from danregima February 2, 2026 04:40
@danregima danregima marked this pull request as ready for review February 3, 2026 23:32
@danregima danregima merged commit 585b42a into main Feb 3, 2026
7 of 11 checks passed
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2 participants