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Phase 4 — Implementation

Phase 4 transitioned from research to prototype implementation and empirical evaluation, validating the theoretical foundations established in Phases 1–3 with working code.

Priority 1: Core Infrastructure

The foundation upon which everything else is built.

Project Scaffolding

  • TypeScript project with strict configuration
  • Jest test infrastructure
  • CI/CD pipeline (typecheck, lint, test, build)
  • ESLint and Prettier formatting

Memory Service Prototype

Implements the three-layer memory model as the foundational service:

  • Working memory for session state
  • Semantic memory for persistent project knowledge
  • Episodic memory for interaction history
  • Pluggable StorageBackend interface
  • InMemoryStorageBackend for testing
  • FileStorageBackend for persistent JSON-file storage across sessions

ACI Gateway Prototype

Implements the structured protocol layer for agent-to-system communication:

  • Tool registration and discovery
  • Graduated trust checking (5 levels, side-effect-based requirements)
  • TrustResolver for agent trust lookup
  • Append-only AuditLogger recording all invocations and denials
  • InMemoryAuditLogger implementation

Priority 2: Agent Runtime

The execution environment built on the core infrastructure.

Agent Runtime Environment

  • Agent registration and identity
  • Agent lifecycle management (registration, execution, teardown)
  • Session management
  • Health monitoring

Capability Negotiation

  • Versioned capability discovery with 3-phase handshake
  • Semantic versioning for capability contracts
  • Trust-based constraint tightening
  • Dynamic capability revocation and expiry support

Trust Engine

Implements the graduated trust model:

  • Trust level assignment (Level 0–4)
  • Multi-dimensional trust with observable metric-based scoring (0–100)
  • Automatic calibration from agent behavior
  • Per-dimension overrides and manual adjustment
  • Trust reset capability

Priority 3: Validation and Evaluation

Empirical proof that the theory works in practice.

Empirical Evaluation

Tests multi-agent coordination patterns across integration scenarios:

  • Delegation pattern scenarios
  • Trust escalation scenarios
  • Failure recovery scenarios
  • Full system integration (runtime + trust + ACI + capabilities + memory)

Benchmark Development

  • BenchmarkSuite framework with standardized benchmarks
  • Agent registration throughput
  • Trust calibration performance
  • ACI invocation benchmarks
  • Capability negotiation benchmarks
  • Memory store/query benchmarks
  • Agent lifecycle throughput

Security Hardening

  • SecurityTestSuite with adversarial tests across 5 categories:
    • Privilege escalation
    • Trust manipulation
    • Capability abuse
    • Audit integrity
    • Resource exhaustion

Success Criteria — Met

  1. A single agent can use the Memory Service to maintain knowledge across sessions — Done
  2. The ACI Gateway correctly routes agent requests with capability enforcement — Done
  3. Multi-agent coordination is demonstrated on a non-trivial development task — Done
  4. Trust levels correctly limit agent capabilities — Done
  5. Benchmarks show measurable improvement from persistent memory — Done