Morphism Advanced Implementation Plan

planactive

Three concrete implementation tasks constituting the next phase of Morphism development. Planned for autonomous execution by a target AI agent (Pickle-Rick persona / Metaswarm orchestration).

Pre-execution checklist (mandatory for executing agent):

  1. Read categorical_encoder.ts, naturality_bridge.ts, and structural_hash.ts before writing any code
  2. Understand all existing types (AgentMorphism, BehaviorFunctor, etc.) before making type changes
  3. Draft file structures and ANSI layouts before writing full implementations

Task 1: Proof Witness Constraint Compression

Problem: Long agent chains generate massive ProofWitness JSON due to repeating constraint checks (["ruleA", "ruleA", ...(×10,000)]).

Solution: Run-length encoding with cardinality mapping. Transform constraint arrays during encodeEventChain:

Before: ["ruleA", "ruleA", "ruleB"]
After:  [{ "rule": "ruleA", "count": 2 }, { "rule": "ruleB", "count": 1 }]

Compression ratio: 10–20x on real governance traces.

Files: Create packages/agentic-math/src/witness_compressor.ts; modify categorical_encoder.ts (encodeEventChain); add encode_event_chain to python_bridge.py.

Task 2: Zero-Dependency CLI Dashboard

Problem: No real-time visualization of compliance events, commutativity failures, or Python bridge status.

Solution: Pure Node.js dashboard using process.stdout.write + ANSI escape codes. No external dependencies (no chalk, blessed, ink, commander).

Layout: Split-pane with EVENT STREAM (left) and COMMUTATIVITY square (right). Color-coded: green [PASS], red [VIOLATION] with stack frame. Right pane shows ASCII naturality failure diagram on NaturalTransformation check failure.

File: Create packages/cli/src/dashboard.ts. Expose EventEmitter in categorical_encoder.ts for real-time subscription.

Task 3: Tamper-Evident Proof Signatures

Problem: Silent mutation of ProofWitness after generation; rollback attacks; splice-in of fake events.

Solution: HMAC-SHA256 signatures using Node.js crypto stdlib only (zero additional dependencies). Sign via structural_hash (deterministic sorted-key serialization), append signature field.

Secret management: Primary from process.env.MORPHISM_SECRET; fallback: randomly generated session key in .morphism/session.key (gitignored). Never hardcode.

Files: Create packages/agentic-math/src/crypto_signer.ts (TypeScript); add Python parity to python_bridge.py using hmac + hashlib stdlib.