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Morphogen — Implementation Status & v1.0 Roadmap

Last Updated: 2026-03-16 Current Version: v0.12.0 (December 2025) → v1.0 (2026-Q2) Status: 39 Production Domains | 606 Operators | 1,912 Tests | Migration Complete ✅ Detailed Analysis: DOMAIN_STATUS_ANALYSIS.md | Migration History: docs/guides/DOMAIN_MIGRATION_GUIDE.md


Recent Updates

🎉 v0.12.0 - Domain Migration Complete (2025-12-12)

Achievement: All 39 domains now production-ready with full @operator decorator integration

Impact:

  • 39 production domains (up from 25 in v0.11.0)
  • 606 operators total (up from 386)
  • 1,912 comprehensive tests (up from 1,705 at v0.12.0)
  • Migration complete: All legacy domains integrated

New Domains Available (Phase 3-5):

  • Chemistry Suite (9 domains): molecular, qchem, thermo, kinetics, electrochem, catalysis, transport, multiphase, combustion
  • Specialized Physics (4 domains): thermal_ode, fluid_network, fluid_jet
  • Audio Extensions (2 domains): audio_analysis, instrument_model

Documentation:

  • Updated README, ROADMAP, CHANGELOG to reflect v0.12.0
  • Created first Phase 3 integration example (fluid_jet domain)
  • Test coverage: 25 new tests for Phase 3 domains

Next Steps: Integration examples for audio_analysis and instrument_model; v1.0 preparation — see ROADMAP.md P0

See: CHANGELOG.md for detailed migration summary


✅ Audio Domain - Filter State Management Fix (2025-11-23)

Commit: 8ab2496 - fix: Export constant operator for registry discovery

Problem: Constant operator was implemented but missing module-level export, causing registry discovery to fail. OperatorExecutor returned zeros for the operator, breaking filter state tests.

Solution: Added single line constant = AudioOperations.constant to enable operator discovery.

Impact:

  • ✅ Operator count: 59 → 60
  • ✅ Filter state test: PASSING (< 1e-6 error)
  • ✅ All 8 tests passing (4 GraphIR state + 4 constant)
  • ✅ SimplifiedScheduler filter_state support confirmed working

Files Modified:

  • morphogen/stdlib/audio.py (+1 line)
  • docs/specifications/audio-synthesis.md (documentation update)
  • tests/test_audio_basic.py (from prior session)
  • tests/test_graphir_state_management.py (from prior session)

Quick Summary

✅ Production Domains (All Integrated) - 39 Domains

All accessible via use statement - 606 operators total

Core Infrastructure:

  • Language Frontend: Complete lexer, parser, AST, type system
  • Python Runtime: Full interpreter with NumPy backend
  • Visualization: PNG/JPEG export, interactive display, video export (MP4/GIF)

All Production Domains (39 fully integrated):

Physics & Simulation:

  1. field (19 ops): PDE operations (diffuse, advect, project, Laplacian) ✅
  2. agent (13 ops): Sparse particle systems, forces, field coupling ✅
  3. rigidbody (12 ops): 2D rigid body dynamics, collision detection ✅
  4. integrators (9 ops): Euler, RK2, RK4, Verlet, adaptive methods ✅
  5. acoustics (9 ops): 1D waveguides, impedance, radiation ✅

Audio & Signal Processing: 6. audio (60 ops): Synthesis, filters, envelopes, effects, physical modeling ✅ 7. signal (20 ops): FFT, STFT, filtering, windowing, spectral analysis ✅ 8. temporal (24 ops): Delays, timers, clocks, event sequences ✅

Visual & Graphics: 9. visual (11 ops): Colorization, agent rendering, layer composition ✅ 10. vision (13 ops): Edge detection, feature extraction, morphology ✅ 11. terrain (11 ops): Perlin noise, erosion, biome classification ✅ 12. color (20 ops): RGB/HSV/HSL conversions, blend modes ✅ 13. image (18 ops): Convolution, transforms, filtering, compositing ✅ 14. noise (11 ops): Perlin, simplex, Worley, fBm, ridged multifractal ✅ 15. palette (21 ops): Scientific colormaps, gradients, cosine palettes ✅

AI & Optimization: 16. optimization (5 ops): Genetic algorithms, CMA-ES, particle swarm ✅ 17. genetic (17 ops): Selection, crossover, mutation operators ✅ 18. neural (16 ops): Layers, activations, backprop ✅ 19. cellular (18 ops): Conway's Life, custom rules, analysis ✅ 20. statemachine (15 ops): FSM, behavior trees, event-driven transitions ✅

Data & Infrastructure: 21. graph (19 ops): Dijkstra, centrality, community detection, max flow ✅ 22. sparse_linalg (13 ops): Sparse matrices, iterative solvers ✅ 23. io_storage (10 ops): Image/audio/HDF5 I/O, checkpointing ✅ 24. geometry (49 ops): 2D/3D spatial operations, transformations ✅ 25. circuit (15 ops): DC/AC/transient analysis, MNA solver (Phase 1) ✅

Chemistry Suite (9 domains): 26. molecular (33 ops): Molecular dynamics, force fields, simulations ✅ 27. qchem (13 ops): Quantum chemistry, electronic structure calculations ✅ 28. thermo (12 ops): Thermodynamics, equations of state, phase equilibria ✅ 29. kinetics (11 ops): Chemical kinetics, reaction rates, mechanisms ✅ 30. electrochem (13 ops): Electrochemistry, Nernst equation, batteries ✅ 31. catalysis (11 ops): Catalytic cycles, mechanisms, turnover ✅ 32. transport (17 ops): Transport properties (diffusion, viscosity, conductivity) ✅ 33. multiphase (8 ops): Multiphase flow, mass transfer, separation ✅ 34. combustion (8 ops): Combustion kinetics, flame dynamics, ignition ✅

Specialized Physics (4 domains): 35. thermal_ode (4 ops): 1D thermal modeling, heat transfer ✅ 36. fluid_network (4 ops): 1D network flow, pipes, hydraulics ✅ 37. fluid_jet (8 ops): Jet dynamics, turbulence, entrainment ✅

Audio Extensions (2 domains): 38. audio_analysis (9 ops): Spectral analysis, onset detection, pitch tracking ✅ 39. instrument_model (10 ops): Physical modeling synthesis, instruments ✅

Testing: 1,705 tests total (1,454 passing, 251 MLIR skipped)

✅ Migration Complete (v0.12.0)

All 39 domains now production-ready with full @operator decorator integration.

Migration History (v0.11.0 → v0.12.0):

  • Phase 1-2: 25 domains integrated (completed v0.11.0)
  • Phase 3: Chemistry suite (9 domains) migrated
  • Phase 4: Specialized physics (4 domains) migrated
  • Phase 5: Audio extensions (2 domains) migrated

Result: All legacy function-based domains converted to modern @operator system, accessible via use statement.

See: docs/guides/DOMAIN_MIGRATION_GUIDE.md for migration history and patterns

✅ COMPLETE (v0.7.0 - Real MLIR Integration)

  • Phase 1 (Foundation): ✅ COMPLETE - MLIR context, compiler V2, proof-of-concept
  • Phase 2 (Field Operations Dialect): ✅ COMPLETE - Custom field dialect with 4 operations, field-to-SCF lowering pass, full test suite, examples, and benchmarks
  • Phase 3 (Temporal Execution): ✅ COMPLETE - Temporal dialect with 6 operations, temporal-to-SCF lowering pass, state management, flow execution
  • Phase 4 (Agent Operations): ✅ COMPLETE - Agent dialect with 4 operations, agent-to-SCF lowering pass, behavior system, 36 tests, 8 examples (~2,700 lines)
  • Phase 5 (Audio Operations): ✅ COMPLETE - Audio dialect with 4 operations, audio-to-SCF lowering pass, oscillator/filter/envelope/mix operations
  • Phase 6 (JIT/AOT Compilation): ✅ COMPLETE - LLVM lowering, JIT engine with caching, AOT compiler (7 output formats), ExecutionEngine API (~4,400 lines)
  • Timeline: 12-month effort launched 2025-11-14, ALL 6 PHASES COMPLETE Nov 15, 2025 🎉

🚧 Deprecated (Legacy, Maintained for Compatibility)

  • MLIR Text-Based IR: Legacy ir_builder.py and optimizer.py (marked deprecated)
  • Will be maintained during v0.7.0 transition, removed in v0.8.0+

🎉 NEW: v0.11.0 Release - Advanced Visualizations & Domain Transformations (November 20, 2025)

Major Milestone: Chemistry suite (9 domains), Procedural graphics (4 domains), and specialized physics domains added. All 40 domains now accessible from .morph source files with full type safety and cross-domain validation.

🎉 v0.10.0 Release - Level 2 & 3 Integration Complete (November 17, 2025)

Major Milestone: USE statement + Geometry domain + Level 3 type system complete. All domains accessible from .morph source files with full type safety and cross-domain validation.

Key Achievements:

  1. USE Statement Implementation ✅ (PR #99)

    • Complete lexer, parser, AST, runtime support
    • Import syntax: use field, audio, rigidbody
    • 16 comprehensive tests (all passing)
    • Runtime validation against DomainRegistry
    • Unlocks all 423+ operators for .morph programs
    • Example: examples/use_statement_demo.morph
  2. Geometry Domain ✅ (PR #100, #101, #102)

    • 50+ operators for 2D/3D spatial operations
    • 5 layers: primitives, transformations, queries, coordinate conversion, properties
    • 90 comprehensive tests covering all operators
    • 6 cross-domain examples (bouncing spheres, Voronoi, Delaunay, mesh morphing)
    • NumPy-based implementation with deterministic operations
  3. Level 3 Type System ✅ (PR #98)

    • Physical unit checking: [m], [kg], [s], [K], [N], etc.
    • Rate compatibility validation for cross-domain operations
    • Cross-domain type safety validators
    • 595 tests for validators and rate compatibility
    • See LEVEL_3_TYPE_SYSTEM.md for complete specification
  4. Level 2 Integration Complete ✅ (PR #96, expanded in v0.11.0)

    • All 40 domains registered and working
    • 500+ operators accessible via USE statement
    • Complete domain catalog across physics, chemistry, graphics, AI, and data analysis
    • Operator catalog complete across all domains
  5. Cross-Domain Examples ✅ (PR #97)

    • Audio visualizer (real-time field + audio + visual)
    • Generative art installation (geometry + field + agents)
    • Interactive physics sandbox (rigidbody + visual + agents)
    • Demonstrates USE statement + multi-domain composition

Technical Impact:

  • 64 files changed, 16,608 lines added
  • 900+ total tests across all domains
  • Complete operator registry with DomainRegistry
  • Full type safety across domain boundaries
  • Production-ready cross-domain composition

What This Enables:

  • Write .morph programs using any of 500+ operators
  • Type-safe cross-domain connections (field → agent, geometry → audio, molecular → field, etc.)
  • Physical unit validation at runtime
  • Rate-aware composition for audio/visual/physics sync
  • Chemistry simulations (molecular dynamics, quantum chemistry, kinetics)
  • Procedural graphics (noise → palette → image pipeline)

Complete Domain Catalog (40 domains implemented):

Production-Ready (v0.11.0):

  • Physics: Field, Agent, RigidBody, Integrators, Acoustics, Thermal, Fluid Network/Jet
  • Audio: Audio/DSP, Signal, Audio Analysis, Instrument Modeling
  • Visual: Visual, Vision, Terrain, Color, Image, Noise, Palette
  • Chemistry: Molecular, QChem, Thermo, Kinetics, Electrochem, Transport, Catalysis, Multiphase, Combustion
  • AI/Data: Optimization, Genetic, Neural, Graph, Sparse LA, StateMachine, IO/Storage
  • Specialized: Cellular, Geometry, Temporal, Circuit, Flappy

Architecture Documented (Future expansion):

  • Symbolic/Algebraic, Control & Robotics, Advanced Fluids (CFD), Advanced Circuit (SPICE-complete)

See docs/DOMAIN_ARCHITECTURE.md for complete vision.

📋 Planned (Future Enhancements)

  • Domain Implementation (v0.11+): Implement specification-ready domains (Circuit, FluidDynamics, InstrumentModeling)
  • Physical Units: ✅ Type system complete, dimensional analysis working in Level 3
  • Hot-reload: Architecture designed, not implemented yet
  • GPU Acceleration: Via MLIR GPU dialect (planned for future phases)
  • Visual Rendering Dialect: Planned as potential Phase 7
  • Web IDE: Browser-based editor with live preview and operator gallery

Detailed Status by Component

1. Language Frontend ✅ COMPLETE

Lexer — PRODUCTION READY

Status: Fully implemented and tested

Implemented:

  • ✅ 40+ token types (numbers, strings, identifiers, keywords, operators)
  • ✅ Physical unit annotations [m], [m/s], [Hz], etc.
  • ✅ Decorator syntax @state, @param
  • ✅ Comment handling (single-line)
  • ✅ Source location tracking for error messages
  • ✅ Complete error reporting with line/column numbers

Location: morphogen/lexer/lexer.py

Tests: Full coverage in tests/test_lexer.py

Parser — PRODUCTION READY

Status: Full recursive descent parser with complete AST generation

Implemented:

  • ✅ Expression parsing (literals, identifiers, binary/unary ops, calls, field access)
  • ✅ Statement parsing (assignments, functions, flow blocks)
  • ✅ Type annotations with physical units Field2D<f32 [K]>
  • ✅ Function definitions with typed parameters
  • ✅ Lambda expressions with closure capture
  • ✅ If/else expressions
  • ✅ Struct definitions and literals
  • ✅ Flow blocks with dt, steps, substeps
  • ✅ Operator precedence (PEMDAS)
  • ✅ Error recovery and reporting

Location: morphogen/parser/parser.py (~700 lines)

Tests: tests/test_parser.py, tests/test_parser_v0_3_1.py

Complete v0.3.1 Syntax Features:

  • ✅ Functions: fn add(a: f32, b: f32) -> f32 { return a + b }
  • ✅ Lambdas: let f = |x| x * 2
  • ✅ Structs: struct Point { x: f32, y: f32 }
  • ✅ Struct literals: Point { x: 3.0, y: 4.0 }
  • ✅ If/else: if condition then value else other
  • ✅ Flow blocks: flow(dt=0.1, steps=100) { ... }
  • ✅ State variables: @state temp = ...

Type System — COMPLETE

Status: Comprehensive type definitions with physical units

Implemented:

  • ✅ Scalar types: f32, f64, i32, u64, bool
  • ✅ Vector types: Vec2<f32>, Vec3<f32>
  • ✅ Field types: Field2D<T>, Field3D<T>
  • ✅ Struct types: User-defined struct definitions
  • ✅ Function types: First-class functions with signatures
  • ✅ Physical unit annotations: [m], [s], [m/s], [K], etc.
  • ✅ Type compatibility checking
  • ✅ Type inference

Location: morphogen/ast/types.py

Limitations:

  • ⚠️ Physical unit checking not enforced at runtime (annotations only)
  • ⚠️ Unit dimensional analysis not implemented

2. Runtime Execution Engine ✅ PRODUCTION READY

Python Interpreter — COMPLETE

Status: Full-featured interpreter with NumPy backend

Implemented:

  • ✅ Expression evaluation (all operators, function calls, field access)
  • ✅ Variable and state management with proper scoping
  • ✅ Flow block execution (dt-based time stepping)
  • ✅ Function definitions and calls
  • ✅ Lambda expressions with closure capture
  • ✅ Struct instantiation and field access
  • ✅ If/else conditional evaluation
  • ✅ Double-buffer state management
  • ✅ Deterministic RNG with seeding
  • ✅ Error handling with clear messages

Location: morphogen/runtime/runtime.py (855 lines)

Tests: tests/test_runtime.py, tests/test_runtime_v0_3_1.py

Performance:

  • Parses typical programs in ~50ms
  • Executes field operations at ~1s per frame for 256×256 grids
  • Scales to 512×512 grids without issues

3. Field Operations ✅ PRODUCTION READY

Field2D Class — COMPLETE

Status: NumPy-backed field implementation

Implemented:

  • field.alloc(shape, fill_value) - Field allocation
  • field.random(shape, seed, low, high) - Deterministic random initialization
  • field.advect(field, velocity, dt) - Semi-Lagrangian advection
  • field.diffuse(field, rate, dt, iterations) - Jacobi diffusion solver
  • field.project(velocity, iterations) - Pressure projection (incompressibility)
  • field.combine(a, b, operation) - Element-wise ops (add, mul, sub, div, min, max)
  • field.map(field, func) - Apply functions (abs, sin, cos, sqrt, square, exp, log)
  • field.boundary(field, spec) - Boundary conditions (reflect, periodic)
  • field.laplacian(field) - 5-point stencil Laplacian
  • field.gradient(field) - Central difference gradient
  • field.divergence(field) - Divergence operator

Location: morphogen/stdlib/field.py (369 lines)

Tests: tests/test_field_operations.py (27 comprehensive tests)

Determinism: ✅ Verified - all operations produce identical results with same seed

Use Cases:

  • ✅ Heat diffusion
  • ✅ Reaction-diffusion (Gray-Scott)
  • ✅ Fluid simulation (Navier-Stokes with projection)
  • ✅ Wave propagation
  • ✅ Advection-diffusion

4. Agent Dialect ✅ PRODUCTION READY (NEW in v0.4.0!)

Agent Operations — COMPLETE

Status: Full agent-based modeling with sparse particle systems

Implemented:

  • agents.alloc(count, properties) - Agent collection allocation
  • agents.map(agents, property, func) - Apply function to each agent
  • agents.filter(agents, property, condition) - Filter agents by condition
  • agents.reduce(agents, property, operation) - Aggregate across agents
  • agents.compute_pairwise_forces(...) - N-body force calculations
  • agents.sample_field(agents, field, property) - Sample fields at agent positions
  • ✅ Spatial hashing for O(n) neighbor queries
  • ✅ Alive/dead agent masking
  • ✅ Property-based data structure (pos, vel, mass, etc.)

Location: morphogen/stdlib/agents.py (569 lines)

Tests: 85 comprehensive tests across 4 test files:

  • tests/test_agents_basic.py (25 tests) - Allocation, properties, masks
  • tests/test_agents_operations.py (29 tests) - Map, filter, reduce
  • tests/test_agents_forces.py (19 tests) - Pairwise forces, field sampling
  • tests/test_agents_integration.py (12 tests) - Runtime integration, simulations

Use Cases:

  • ✅ Boids flocking simulations
  • ✅ N-body gravitational systems
  • ✅ Particle systems
  • ✅ Agent-field coupling (particles in flow fields)
  • ✅ Crowd simulation
  • ✅ SPH (Smoothed Particle Hydrodynamics) foundations

Example:

from morphogen.stdlib.agents import agents

# Create 1000 particles
particles = agents.alloc(
    count=1000,
    properties={
        'pos': np.random.rand(1000, 2) * 100.0,
        'vel': np.zeros((1000, 2)),
        'mass': np.ones(1000)
    }
)

# Compute gravitational forces
forces = agents.compute_pairwise_forces(
    particles,
    radius=50.0,
    force_func=gravity_force,
    mass_property='mass'
)

# Update velocities and positions
new_vel = particles.get('vel') + forces * dt
particles = particles.update('vel', new_vel)
particles = particles.update('pos', particles.get('pos') + new_vel * dt)

Determinism: ✅ Verified - all operations produce identical results with same seed

Performance:

  • ✅ 1,000 agents: Instant allocation
  • ✅ 10,000 agents: ~0.01s allocation
  • ✅ Spatial hashing enables O(n) neighbor queries vs O(n²) brute force
  • ✅ NumPy vectorization for all operations

5. Visualization ✅ PRODUCTION READY

Visual Operations — COMPLETE

Status: Full visualization pipeline with multiple output modes

Implemented:

  • visual.colorize(field, palette, vmin, vmax) - Scalar field → RGB
  • 4 palettes: grayscale, fire, viridis, coolwarm
  • visual.output(visual, path, format) - PNG/JPEG export with Pillow
  • visual.display(visual) - Interactive Pygame window
  • ✅ sRGB gamma correction for proper display
  • ✅ Custom value range mapping (vmin/vmax)
  • ✅ Automatic normalization

Location: morphogen/stdlib/visual.py (217 lines)

Tests: tests/test_visual_operations.py (23 tests)

Example:

temp = field.random((128, 128), seed=42)
temp = field.diffuse(temp, rate=0.5, dt=0.1)
vis = visual.colorize(temp, palette="fire")
visual.output(vis, "output.png")

5. MLIR Compilation Pipeline 🚀 IN DEVELOPMENT (v0.7.0)

STATUS UPDATE (2025-11-14): Transitioning from text-based IR to real MLIR integration!

v0.7.0 Real MLIR Integration — PHASE 3 COMPLETE 🚀 ✅

Status: Temporal Execution fully implemented Timeline: 12+ month effort (Phases 1-3 complete: Months 1-9)

PHASE 1 (Foundation) - COMPLETE ✅:

  • Design document - Comprehensive docs/v0.7.0_DESIGN.md
  • MLIR Context Management - morphogen/mlir/context.py
  • Module Structure - Dialects, lowering, codegen directories
  • Compiler V2 - morphogen/mlir/compiler_v2.py using real MLIR bindings
  • Proof-of-Concept - examples/mlir_poc.py
  • Requirements - Installation instructions for MLIR Python bindings
  • Graceful Degradation - Falls back to legacy when MLIR not installed

PHASE 2 (Field Operations Dialect) - COMPLETE ✅ (2025-11-14):

  • Field Dialect - morphogen/mlir/dialects/field.py with 4 operations:
    • FieldCreateOp: Allocate fields with dimensions and fill value
    • FieldGradientOp: Central difference gradient computation
    • FieldLaplacianOp: 5-point stencil Laplacian
    • FieldDiffuseOp: Jacobi diffusion solver
  • Lowering Pass - morphogen/mlir/lowering/field_to_scf.py
    • Transforms field ops → nested scf.for loops + memref operations
    • Handles boundary conditions and stencil operations
    • Double-buffering for iterative solvers
  • Compiler Integration - Extended compiler_v2.py with field support
  • Tests - tests/test_field_dialect.py (comprehensive test suite)
  • Examples - examples/phase2_field_operations.py (working demos)
  • Benchmarks - benchmarks/field_operations_benchmark.py

Architecture:

Morphogen AST → Field Dialect → FieldToSCFPass → SCF Loops + Memref → (Phase 4) LLVM → Native Code

Dependencies:

  • mlir>=18.0.0 (install separately)
  • pip install mlir -f https://github.com/makslevental/mlir-wheels/releases/expanded_assets/latest

PHASE 3 (Temporal Execution) - COMPLETE ✅ (2025-11-14):

  • Temporal Dialect - morphogen/mlir/dialects/temporal.py with 6 operations:
    • FlowCreateOp: Define flow blocks with dt and timestep count
    • FlowStepOp: Single timestep execution (placeholder)
    • FlowRunOp: Execute complete flow for N timesteps
    • StateCreateOp: Allocate persistent state containers
    • StateUpdateOp: Update state values (SSA-compatible)
    • StateQueryOp: Read current state values
  • Temporal Lowering Pass - morphogen/mlir/lowering/temporal_to_scf.py
    • Transforms flow.run → scf.for loops with iter_args
    • State.create → memref.alloc + initialization loops
    • State.update → memref.store operations
    • State.query → memref.load operations
  • Compiler Integration - Extended compiler_v2.py with temporal support
  • Tests - tests/test_temporal_dialect.py (comprehensive test suite)
  • Examples - examples/phase3_temporal_execution.py (working demos)

Phases:

  • Phase 1 (Months 1-3): Foundation + PoC ✅ COMPLETE
  • Phase 2 (Months 4-6): Field operations dialect ✅ COMPLETE
  • Phase 3 (Months 7-9): Temporal execution ✅ COMPLETE
  • Phase 4 (Months 10-12): Agent operations ⏳ NEXT
  • Phase 5 (Months 13-15): Audio operations 📋 PLANNED
  • Phase 6 (Months 16-18): JIT/AOT compilation 📋 PLANNED

Location: morphogen/mlir/context.py, morphogen/mlir/compiler_v2.py, morphogen/mlir/dialects/field.py, morphogen/mlir/dialects/temporal.py, morphogen/mlir/lowering/field_to_scf.py, morphogen/mlir/lowering/temporal_to_scf.py

Documentation: docs/v0.7.0_DESIGN.md, PHASE3_COMPLETION_SUMMARY.md, requirements.txt


Legacy Text-Based IR — DEPRECATED ⚠️

CRITICAL CLARIFICATION: The legacy "MLIR" implementation is text-based IR generation, NOT real MLIR bindings. Status: Deprecated - maintained for v0.6.0 compatibility during transition Will be removed: v0.8.0+

IR Builder — TEXT GENERATION ONLY ⚠️

Status: Generates MLIR-like textual intermediate representation

What It Actually Is:

  • Generates text strings that look like MLIR IR
  • Does NOT use mlir-python-bindings
  • Does NOT compile to native code
  • Does NOT interface with LLVM
  • Designed for development/testing without full MLIR build

Quote from source code:

"simplified intermediate representation that mimics MLIR's structure and semantics, allowing us to develop without full LLVM/MLIR build"

Implemented (Text Generation):

  • ✅ Basic arithmetic operations (add, sub, mul, div, mod)
  • ✅ Comparison operations (gt, lt, eq, ne, ge, le)
  • ✅ Function definitions and calls
  • ✅ SSA value management
  • ⚠️ If/else (designed, not fully working)
  • ⚠️ Structs (designed, not fully working)
  • ⚠️ Flow blocks (designed, not fully working)

Location: morphogen/mlir/ir_builder.py, morphogen/mlir/compiler.py (1447 lines)

Tests: tests/test_mlir_*.py (72 tests, mostly testing text generation)

What This Means:

  • Cannot generate native executables
  • Cannot run on GPU
  • Cannot optimize via LLVM
  • Can validate compiler design
  • Can prepare for real MLIR integration

Optimizer — STUB IMPLEMENTATION ⚠️

Status: Basic passes exist but are limited

Implemented:

  • ⚠️ Constant folding (basic)
  • ⚠️ Dead code elimination (basic)
  • ❌ Fusion (not implemented)
  • ❌ Vectorization (not implemented)
  • ❌ GPU lowering (not implemented)

Location: morphogen/mlir/optimizer.py

Reality: These are placeholder implementations to demonstrate the architecture, not production optimization passes.


6. Domain-Specific Dialects

Audio Dialect (Morphogen.Audio) ✅ PRODUCTION READY (NEW in v0.5.0!)

Status: Complete audio synthesis and processing implementation

Implemented:

  • Oscillators: sine, saw, square, triangle, noise (white/pink/brown), impulse
  • Filters: lowpass, highpass, bandpass, notch, 3-band EQ
  • Envelopes: ADSR, AR, exponential decay
  • Effects: delay, reverb, chorus, flanger, drive/distortion, limiter
  • Utilities: mix, gain, pan, clip, normalize, db2lin
  • Physical Modeling: Karplus-Strong string synthesis, modal synthesis
  • ✅ Deterministic synthesis (same seed = same output)
  • ✅ NumPy-based for performance

Location: morphogen/stdlib/audio.py (1,250+ lines)

Tests: 192 comprehensive tests across 6 test files:

  • tests/test_audio_basic.py (42 tests) - Oscillators, utilities, buffers
  • tests/test_audio_filters.py (36 tests) - All filter operations
  • tests/test_audio_envelopes.py (31 tests) - Envelope generators
  • tests/test_audio_effects.py (35 tests) - Effects processing
  • tests/test_audio_physical.py (31 tests) - Physical modeling
  • tests/test_audio_integration.py (17 tests) - Full compositions, runtime

Test Results: 184 of 192 tests passing (96% pass rate)

Use Cases:

  • ✅ Synthesized tones and pads
  • ✅ Plucked string instruments
  • ✅ Bell and percussion sounds
  • ✅ Drum synthesis
  • ✅ Effect chains (guitar, vocal, mastering)
  • ✅ Complete musical compositions

Example:

from morphogen.stdlib.audio import audio

# Plucked string synthesis
exc = audio.noise(noise_type="white", seed=1, duration=0.01)
exc = audio.lowpass(exc, cutoff=6000.0)
pluck = audio.string(exc, freq=220.0, t60=1.5, damping=0.3)
final = audio.reverb(pluck, mix=0.12, size=0.8)

Determinism: ✅ Verified - all operations produce identical results with same seed

Visual Dialect (for agents/layers) ✅ COMPLETE (v0.6.0)

Status: Full visualization pipeline with agent rendering and layer composition

Implemented:

  • ✅ Field colorization and output
  • visual.agents() - Agent rendering with property-based styling
  • visual.layer() - Layer creation and conversion
  • visual.composite() - Multi-layer composition with blend modes
  • visual.video() - Video export (MP4, GIF)
  • ✅ Property-based coloring (color_property + palette)
  • ✅ Property-based sizing (size_property + size_scale)
  • ✅ Multiple blend modes (over, add, multiply, screen, overlay)

Location: morphogen/stdlib/visual.py (782 lines)

Tests: tests/test_visual_extensions.py (34 tests)

Not Implemented:

  • visual.filter() - Post-processing effects (blur, sharpen)
  • visual.coord_warp() - Geometric warps
  • ❌ Text overlay support

7. Testing Infrastructure ✅ EXCELLENT

Test Suite — COMPREHENSIVE

Status: 247 tests covering all working features

Test Files:

  • tests/test_lexer.py - Lexer tests
  • tests/test_parser.py - Parser tests
  • tests/test_parser_v0_3_1.py - v0.3.1 syntax tests
  • tests/test_runtime.py - Runtime interpreter tests
  • tests/test_runtime_v0_3_1.py - v0.3.1 runtime features
  • tests/test_field_operations.py - Field operations (27 tests)
  • tests/test_visual_operations.py - Visualization (23 tests)
  • tests/test_mlir_*.py - MLIR text generation (72 tests)
  • tests/test_integration.py - End-to-end tests
  • tests/test_examples_v0_3_1.py - Example program tests

Coverage:

  • ✅ All working features have tests
  • ✅ Determinism verified
  • ✅ Edge cases covered
  • ✅ Error handling tested

To Run Tests:

pip install -e ".[dev]"  # Installs pytest and other dev dependencies
pytest -v

8. Documentation ✅ EXCELLENT

User Documentation — COMPREHENSIVE

Status: Extensive, well-organized documentation

Implemented:

  • README.md - Project overview and quick start
  • SPECIFICATION.md - Complete language specification (47KB)
  • ARCHITECTURE.md - Morphogen Stack architecture
  • ECOSYSTEM_MAP.md - Comprehensive ecosystem roadmap
  • AUDIO_SPECIFICATION.md - Audio dialect specification
  • docs/GETTING_STARTED.md - User guide
  • docs/TROUBLESHOOTING.md - Common issues and solutions
  • docs/SPEC-*.md - Detailed component specifications

Updated for v0.4.0:

  • ✅ Agent dialect documentation added
  • ✅ MLIR clarifications maintained
  • ⚠️ README needs Agent dialect examples

9. CLI Interface ✅ WORKING

Command-Line Tool — FUNCTIONAL

Status: Basic CLI working with core commands

Implemented:

  • morphogen run <file> - Execute Morphogen programs
  • morphogen parse <file> - Show AST structure
  • morphogen check <file> - Type checking (basic)
  • morphogen mlir <file> - Generate MLIR-like text
  • morphogen version - Show version info

Location: morphogen/cli.py

Installation:

pip install -e .
morphogen run examples/heat_diffusion.morph

What Works Right Now (v0.6.0)

✅ You Can:

  • Write Morphogen programs with full v0.3.1 syntax
  • Parse them into AST
  • Type-check them
  • Execute them with Python/NumPy interpreter
  • Use all field operations (diffuse, advect, project, etc.)
  • Use all agent operations (alloc, map, filter, reduce, forces, field sampling)
  • Create particle systems, boids, N-body simulations
  • Couple agents with fields (particles in flow)
  • Use all audio operations (oscillators, filters, envelopes, effects, physical modeling)
  • Synthesize music and sound effects deterministically
  • Apply audio effects chains (reverb, delay, distortion, etc.)
  • Play audio in real-time with audio.play() ⭐ NEW in v0.6.0!
  • Export audio to WAV/FLAC with audio.save() ⭐ NEW in v0.6.0!
  • Load audio files with audio.load() ⭐ NEW in v0.6.0!
  • Record audio from microphone with audio.record() ⭐ NEW in v0.6.0!
  • Visualize agents with visual.agents() ⭐ NEW in v0.6.0!
  • Composite visual layers with visual.composite() ⭐ NEW in v0.6.0!
  • Export animations to MP4/GIF with visual.video() ⭐ NEW in v0.6.0!
  • Visualize results (PNG export, interactive display)
  • Verify deterministic behavior
  • Run 580+ comprehensive tests (247 original + 85 agent + 184 audio + 64+ I/O tests)

❌ You Cannot (Yet):

  • Compile to native code (MLIR is text-only)
  • Enforce physical unit checking at runtime
  • Use GPU acceleration
  • Hot-reload code changes

Version History

v0.11.0 (Current) - 2025-11-20

Focus: Complete Domain Suite + Documentation + Chemistry/Materials Science

🎉 MAJOR: Project Renamed to Morphogen

  • Named after Alan Turing's morphogenesis (1952)
  • Aligns with architecture: simple primitives → emergent complexity
  • Package: morphogenmorphogen, CLI: morphogenmorphogen
  • Sister project "Philbrick" (analog hardware) established
  • See ADR-011 for full rationale

Chemistry & Materials Science Suite (9 domains, ~5,800 lines):

  • ✅ Molecular Dynamics (1324 lines, 30 functions)
  • ✅ Quantum Chemistry (600 lines, 13 functions)
  • ✅ Thermodynamics (595 lines, 12 functions)
  • ✅ Chemical Kinetics (606 lines, 11 functions)
  • ✅ Electrochemistry (639 lines, 13 functions)
  • ✅ Transport Properties (587 lines, 17 functions)
  • ✅ Catalysis (501 lines, 11 functions)
  • ✅ Multiphase Flow (525 lines, 8 functions)
  • ✅ Combustion (423 lines, 7 functions)

Specialized Physics Domains:

  • ✅ Thermal ODE (356 lines) - Temperature dynamics, heat transfer
  • ✅ Fluid Network (338 lines) - 1D network flow, pipes, junctions
  • ✅ Fluid Jet (377 lines) - Jet dynamics, turbulence
  • ✅ Audio Analysis (631 lines, 12 functions) - Spectral analysis, onset detection
  • ✅ Instrument Modeling (478 lines) - Physical modeling synthesis

Advanced Graphics & Procedural Generation:

  • ✅ Circuit/Electrical (799 lines) - DC/AC/transient analysis (Phase 1)
  • ✅ Procedural Graphics Suite fully documented (noise, palette, color, image)

Documentation & Validation:

  • ✅ DOMAIN_VALIDATION_REPORT.md - Comprehensive 40-domain analysis
  • ✅ All 40 domains validated and cataloged
  • ✅ README updated with chemistry suite documentation
  • ✅ Complete cross-domain integration examples

Test Coverage: 900+ tests across 63 test files

Total: 40 Production-Ready Computational Domains

v0.10.0 - 2025-11-17 (Updated 2025-11-18)

Focus: Level 2 & 3 Integration Complete - USE Statement + Geometry Domain + Type System

Update 2025-11-18: Domain Export Visibility Fix

  • ✅ 10 previously hidden domains now properly exported in stdlib/__init__.py
  • ✅ Newly accessible: agents, audio, geometry, graph, optimization, signal, statemachine, temporal, terrain, vision
  • ✅ All 25 implemented domains now importable: from morphogen.stdlib import <domain>
  • ✅ Validated: All domains functional with comprehensive operator sets

Level 2 Integration - All 25 Domains:

  • ✅ USE statement fully implemented (lexer, parser, AST, runtime)
  • ✅ 374+ operators across 25 domains accessible from .morph files
  • ✅ 16 comprehensive USE statement tests (all passing)
  • ✅ Domain import syntax: use field, audio, rigidbody
  • ✅ Runtime validation against DomainRegistry
  • ✅ All domains registered and working: field, visual, agent, graph, signal, statemachine, terrain, vision, acoustics, color, genetic, image, integrators, io, neural, noise, optimization, palette, rigidbody, sparse_linalg, temporal, audio, geometry

Geometry Domain (NEW):

  • ✅ 50+ operators for 2D/3D spatial operations
  • ✅ 5 layers: primitives (8), transformations (13), spatial queries (10), coordinate conversion (4), properties (4)
  • ✅ 90 comprehensive tests covering all operators
  • ✅ 6 working examples with cross-domain integration
  • ✅ NumPy-based implementation with deterministic operations

Level 3 Type System:

  • ✅ Physical unit checking implemented ([m], [kg], [s], [K], [N], etc.)
  • ✅ Rate compatibility validation for cross-domain operations
  • ✅ Cross-domain type safety validators
  • ✅ 595 tests for validators and rate compatibility
  • ✅ See LEVEL_3_TYPE_SYSTEM.md for complete specification

Temporal Domain (NEW):

  • ✅ 24 operators for temporal logic and scheduling
  • ✅ Delay lines, timers, clocks, event sequences
  • ✅ Temporal composition and rhythm generation
  • ✅ Frame-accurate scheduling

Cross-Domain Examples:

  • ✅ Audio visualizer (real-time field + audio + visual)
  • ✅ Generative art installation (geometry + field + agents)
  • ✅ Interactive physics sandbox (rigidbody + visual + agents)
  • ✅ Bouncing spheres, Voronoi heat, Delaunay terrain
  • ✅ Geometry patrol, mesh morphing, convex hull art

Documentation:

  • ✅ LEVEL_3_TYPE_SYSTEM.md (377 lines)
  • ✅ Updated README with USE statement section
  • ✅ Comprehensive CHANGELOG with all changes
  • ✅ Domain Finishing Guide

Test Count: 900+ total tests (all domains + USE + geometry + type system)

Files Changed: 64 files, 16,608 insertions

Commits: PR #96, #97, #98, #99, #100, #101, #102


v0.9.0 - 2025-11-16

Focus: Five Core Domains Implementation

New Domains:

  • ✅ Graph/Network domain with Dijkstra, centrality, community detection, max flow
  • ✅ Signal Processing domain with FFT, STFT, filtering, windowing, spectral analysis
  • ✅ State Machines domain with FSM, behavior trees, event-driven transitions
  • ✅ Terrain Generation domain with Perlin noise, erosion, biome classification
  • ✅ Computer Vision domain with edge detection, feature extraction, morphology

Infrastructure:

  • ✅ DomainRegistry for unified operator management
  • ✅ Operator decorator pattern standardized across all domains
  • ✅ Cross-domain operator catalog established

v0.8.0 - 2025-11-15

Focus: Domain Expansion & Integration Foundation

New Domains:

  • ✅ Cellular Automata (Conway's Life, custom rules, analysis)
  • ✅ Optimization (genetic algorithms, CMA-ES, particle swarm)
  • ✅ RigidBody Physics (2D rigid body dynamics, collision detection)

Infrastructure:

  • ✅ stdlib/ organization for all domains
  • ✅ Operator registry system foundation
  • ✅ Cross-domain integration patterns established

v0.7.0 - 2025-11-15

Focus: Real MLIR Integration - Complete Stack

All 6 Phases Complete:

  • ✅ Phase 1: MLIR context, compiler V2, proof-of-concept
  • ✅ Phase 2: Field Operations Dialect (4 operations, field-to-SCF lowering)
  • ✅ Phase 3: Temporal Execution (6 operations, temporal-to-SCF lowering)
  • ✅ Phase 4: Agent Operations (4 operations, agent-to-SCF lowering, 36 tests)
  • ✅ Phase 5: Audio Operations (4 operations, audio-to-SCF lowering)
  • ✅ Phase 6: JIT/AOT Compilation (LLVM lowering, JIT engine, 7 output formats)

Timeline: 12-month effort launched 2025-11-14, ALL 6 PHASES COMPLETE Nov 15, 2025 🎉

Code: ~4,400 lines across mlir_v2/ directory Tests: Complete test suites for all dialects Examples: 8+ working MLIR compilation examples


v0.6.0 - 2025-11-14

Focus: Audio I/O and Visual Extensions - Complete multimedia I/O pipeline

Audio I/O:

  • ✅ Real-time audio playback with audio.play() (sounddevice backend)
  • ✅ WAV export/import with audio.save() and audio.load() (soundfile/scipy)
  • ✅ FLAC export/import for lossless audio (soundfile backend)
  • ✅ Microphone recording with audio.record() (sounddevice backend)
  • ✅ Sample rate conversion and format handling
  • ✅ Mono and stereo support

Visual Extensions:

  • ✅ Agent visualization with visual.agents() - render particles/agents as points/circles
  • ✅ Color-by-property support (velocity, energy, etc.) with palettes
  • ✅ Size-by-property support for variable-size agents
  • ✅ Layer composition system with visual.layer() and visual.composite()
  • ✅ Multiple blending modes (over, add, multiply, screen, overlay)
  • ✅ Per-layer opacity control
  • ✅ Video export with visual.video() - MP4 and GIF support (imageio backend)
  • ✅ Frame generator support for memory-efficient animations

Integration:

  • ✅ Field + Agent visual composition workflows
  • ✅ Audio-visual synchronized content examples
  • ✅ Multi-modal export (audio + video)
  • ✅ 64+ new I/O integration tests (24 audio I/O, 40+ visual extensions)

Dependencies Added:

  • sounddevice >= 0.4.0 (audio playback/recording)
  • soundfile >= 0.12.0 (WAV/FLAC I/O)
  • scipy >= 1.7.0 (WAV fallback)
  • imageio >= 2.9.0 (video export)
  • imageio-ffmpeg >= 0.4.0 (MP4 codec)

Test Count: 580+ total (247 original + 85 agent + 184 audio + 64+ I/O tests)

v0.5.0 - 2025-11-14

Focus: Audio Dialect Implementation - Production-ready audio synthesis

  • ✅ Complete AudioBuffer type and operations
  • ✅ Oscillators: sine, saw, square, triangle, noise (white/pink/brown), impulse
  • ✅ Filters: lowpass, highpass, bandpass, notch, 3-band EQ (biquad filters)
  • ✅ Envelopes: ADSR, AR, exponential decay
  • ✅ Effects: delay, reverb, chorus, flanger, drive/distortion, limiter
  • ✅ Utilities: mix, gain, pan, clip, normalize, db2lin
  • ✅ Physical modeling: Karplus-Strong string synthesis, modal synthesis
  • ✅ 192 comprehensive audio tests (184 passing)
  • ✅ Runtime integration (audio namespace available)
  • ✅ Deterministic synthesis verified
  • ✅ Full composition examples (plucked strings, bells, drums, effect chains)

Test Count: 516 total (247 original + 85 agent + 184 audio tests)

v0.4.0 - 2025-11-14

Focus: Agent Dialect Implementation - Sparse particle/agent-based modeling

  • ✅ Complete Agents type system
  • ✅ Agent operations: alloc, map, filter, reduce
  • ✅ Pairwise force calculations with spatial hashing
  • ✅ Field-agent coupling (sample fields at agent positions)
  • ✅ 85 comprehensive tests for agent functionality
  • ✅ Runtime integration (agents namespace available)
  • ✅ Performance optimizations (O(n) neighbor queries)
  • ✅ Deterministic execution verified

Test Count: 332 total (247 original + 85 agent tests)

v0.3.1 - 2025-11-14

Focus: Struct literals, documentation alignment, v0.3.1 syntax complete

  • ✅ Struct literal support with parser and runtime
  • ✅ All v0.3.1 syntax features working
  • ✅ Documentation alignment and accuracy improvements
  • ✅ Fixed version inconsistencies
  • ✅ Ecosystem map documentation

v0.3.0 - 2025-11-06

Focus: Complete v0.3.0 syntax features

  • ✅ Function definitions
  • ✅ Lambda expressions with closures
  • ✅ If/else expressions
  • ✅ Enhanced flow blocks (dt, steps, substeps)
  • ✅ Return statements
  • ✅ Recursion and higher-order functions

v0.2.2 - 2025-11-05

Focus: MVP completion - working field simulations

  • ✅ Complete field operations (advect, diffuse, project, etc.)
  • ✅ Visualization pipeline (colorize, output, display)
  • ✅ Python runtime interpreter
  • ✅ 66 comprehensive tests
  • ✅ Documentation (Getting Started, Troubleshooting)

v0.2.0 - 2025-01 (Early Development)

Focus: Language frontend

  • ✅ Lexer and parser
  • ✅ Type system with physical units
  • ✅ AST generation and visitors
  • ✅ Basic type checking

Roadmap

v0.5.0 ✅ COMPLETE - Audio Dialect Implementation

Completed: 2025-11-14

  • ✅ Implement AudioBuffer type and operations
  • ✅ Oscillators (sine, saw, square, triangle, noise, impulse)
  • ✅ Filters (lowpass, highpass, bandpass, notch, EQ)
  • ✅ Envelopes (ADSR, AR, exponential decay)
  • ✅ Effects (delay, reverb, chorus, flanger, drive, limiter)
  • ✅ Physical modeling (Karplus-Strong, modal synthesis)
  • ✅ 192 comprehensive tests (184 passing)
  • ✅ Full composition examples

v0.4.0 ✅ COMPLETE - Agent Dialect Implementation

Completed: 2025-11-14

  • ✅ Implement Agents type
  • ✅ Agent operations (map, filter, reduce)
  • ✅ Force calculations (gravity, springs, spatial hashing)
  • ✅ Field-agent coupling
  • ✅ 85 comprehensive tests

v0.6.0 ✅ COMPLETE - Audio I/O and Visual Dialect Extensions

Completed: 2025-11-14

  • ✅ Real-time audio playback and recording
  • ✅ Audio file export/import (WAV, FLAC)
  • ✅ Agent visualization with property-based styling
  • ✅ Layer composition system with blend modes
  • ✅ Video export capabilities (MP4, GIF)
  • ✅ 64+ I/O integration tests (24 audio I/O, 40+ visual extensions)

v0.7.0 - Real MLIR Integration

Target: 12+ months

  • Integrate real mlir-python-bindings
  • Implement actual MLIR dialects
  • LLVM lowering and optimization
  • Native code generation
  • GPU compilation pipeline

v1.0.0 - Production Release

Target: 18-24 months

  • All dialects complete
  • Physical unit checking enforced
  • Hot-reload working
  • Performance optimization
  • Production-ready tooling
  • Comprehensive examples and tutorials

Known Limitations

Architectural

  • ⚠️ MLIR is text-based IR, not real MLIR compilation
  • ⚠️ Python interpreter only (no native code gen)
  • ⚠️ Physical units are annotations only, not enforced
  • ⚠️ No GPU support yet

Feature Gaps

  • ❌ Advanced post-processing (blur, sharpen, custom filters) not implemented
  • ❌ Text overlay support not implemented
  • ❌ Module system not fully implemented
  • ❌ Hot-reload not implemented
  • ❌ Coordinate warping (visual.coord_warp) not implemented

Performance

  • ⚠️ Python/NumPy interpreter adequate for prototyping but not production
  • ⚠️ Large grids (>512×512) are slow
  • ⚠️ No parallelization or GPU acceleration yet

Getting Involved

High Priority (v0.7.0)

  1. Real MLIR Integration - Replace text-based IR with actual MLIR bindings
  2. Performance Optimization - Profile-guided optimization, parallelization
  3. Advanced Visual Operations - Post-processing filters, text overlay
  4. Example Programs - More complex multi-modal compositions
  5. Documentation - Advanced tutorials, best practices

Medium Priority (v0.8.0+)

  • Module composition system
  • Physical units enforcement at runtime
  • Hot-reload implementation
  • Advanced examples and tutorials

Long-term (v1.0.0)

  • Production-ready performance
  • Complete optimization pipeline
  • Comprehensive documentation
  • Production tooling and IDE integration

Summary

Morphogen v0.6.0 is a working, usable system for:

  • Field-based simulations (heat, diffusion, fluids)
  • Agent-based modeling (particles, boids, N-body systems)
  • Audio synthesis and processing (deterministic music generation)
  • Real-time audio playback and recording ⭐ NEW
  • Audio file I/O (WAV, FLAC) ⭐ NEW
  • Agent visualization with property-based styling ⭐ NEW
  • Multi-layer visual composition ⭐ NEW
  • Video export (MP4, GIF) ⭐ NEW
  • Deterministic computation with reproducible results
  • Interactive visualization and export
  • Educational and research applications

But it is not yet production-ready for:

  • High-performance applications (Python interpreter only)
  • Native code generation (MLIR is text-only)
  • GPU acceleration
  • Advanced post-processing (blur, sharpen, text overlay)

The foundation is solid, the architecture is sound, and the path forward is clear. The project is in active development with complete multimedia I/O and three major dialects fully implemented (Field, Agent, Audio) with comprehensive visual extensions. Realistic roadmap to v1.0.


For detailed architecture, see: ARCHITECTURE.md For ecosystem overview, see: ECOSYSTEM_MAP.md For complete language spec, see: SPECIFICATION.md


Last Updated: 2025-11-21 Version: v0.11.0 → v1.0 Release Plan Active Current Status: Production-Ready - 40 Domains, 500+ Operators, 900+ Tests Target: v1.0 (2026-Q2)

🚀 v1.0 Target: 2026-Q2