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Agency Implementation Roadmap

Note: This roadmap has been restructured for better readability. See individual phase documents for detailed implementation information.

This document provides a high-level overview of AICO's agency system implementation across 10 phases.

Implementation Principles

  • Each phase yields a testable, usable system
  • Phases are cumulative: later work extends existing modules
  • Implementation follows integration contracts in agency-integration.md

Current Status

This roadmap is intentionally high-level. For the most up-to-date implementation status and metrics, use:

  • docs/concepts/agency/agency-roadmap-status.md
  • the CLI (cli/commands/agency.py, e.g. aico agency status, aico agency metrics, aico agency health)

→ Detailed Current Status

Phase Overview

Phase 0: Foundations & Enablement ✅

Goal: Platform readiness for always-on agency loop

Status: Complete

Key Achievements: - Localization infrastructure - Agency engine integration - Core database tables

Phase 1: Goal System & Planning ✅

Goal: Goal- and plan-aware companion with persistent intentions

Status: Complete

Key Achievements: - Goal/Intention models and storage - Planning component with LLM integration - Scheduler integration with resource constraints

Phase 2: Memory, World Model & Relationships ✅

Goal: Ground goals in rich memory and world understanding

Status: Complete (December 9, 2025)

Key Achievements: - WorldModelService with KG integration - PersonalityService with Big Five traits - 54 comprehensive tests, 73% coverage

Phase 3: Curiosity, Intrinsic Motivation & Hobbies ✅

Goal: Self-driven exploration and learning

Status: Complete (December 9, 2025)

Key Achievements: - CuriosityEngine with 3 detectors - 6 default hobby templates - Three-gate filtering system

Phase 4: Values, Ethics & Meta-Control ✅

Goal: Explicit meta-control layer for behavior governance

Status: Complete (December 10, 2025)

Key Achievements: - ValuesEthicsService with policy rules - GoalArbiter with adaptive scoring - 120 tests passing, full backend integration

Phase 5: Self-Reflection & Behavioral Learning ✅

Goal: Self-evaluation and adaptive policy/skill adjustments

Status: Complete

Key Achievements: - SelfReflectionEngine with LLM enhancement - LessonApplicationService - 41 lessons, 1,437 reflection runs, 2,257 self-model entries

Phase 6: Advanced Integration & Optimization ✅

Goal: Complete missing integrations and optimize performance

Status: Complete

Key Achievements: - Adaptive arbiter with multi-armed bandits - World model drift detection - Hypothesis generation and testing

Phase 7: Comprehensive Testing & QA ✅

Goal: 80%+ test coverage with comprehensive testing

Status: Complete

Key Achievements: - 943 tests passing (+232 new tests) - 80% overall coverage - Skills database schema corrected - 90.7% warning reduction (6,199 → 575)

Phase 8: Agency CLI & Analysis ✅

Goal: CLI-first interface for observing and analyzing agency behavior

Status: Complete

Key Achievements: - 13 CLI commands implemented (1,633 lines) - Comprehensive event logging (1,188+ events) - Advanced analytics with time window filtering - Health monitoring and diagnostics - Reflection run analysis - Skill performance tracking

Phase 9: Lesson Management CLI ✅

Goal: CLI tooling for lesson review and approval

Status: Complete (2025-12-15)

Completed: - ✅ Lesson management CLI (5 commands) - ✅ aico agency lessons ls - List and filter lessons - ✅ aico agency lessons show - Detailed lesson view - ✅ aico agency lessons approve/reject - Approval workflow - ✅ aico agency lessons stats - Lesson statistics - ✅ Full filtering support (status, confidence, time windows) - ✅ JSON output and rich table formatting

Phase 10: Web Dashboard & REST API 🔮

Goal: REST API and web dashboard for monitoring and administration

Status: Future

Scope: - REST API endpoints for metrics and lessons - Web dashboard with real-time visualization - Metrics and analytics visualization - Lesson management interface - System health monitoring

Phase 11: Flutter Frontend Integration 🔮

Goal: Integrate agency system into Flutter mobile/desktop app

Status: Future

Scope: - Proactive message integration and notifications - Intention set visibility in conversation UI - Goal tracking and progress display - Behavioral feedback and lesson review - Agency settings and controls - Real-time WebSocket updates - Metrics and analytics visualization

Future Enhancements

These items were deferred from completed phases and represent potential improvements for future development.

Memory & AMS Integration

From Phase 2: - [ ] Use AMS summaries and open-loop lists when (re)formulating goals and plans - [ ] Temporal pattern detection - [ ] Uncertainty area identification - [ ] AMS unified indexing and cross-tier lifecycle automation

Analytics & Observability

From Phase 8: - [ ] Expected vs actual behavior reports - [ ] Arbiter decisions vs goal outcomes correlation analysis - [ ] Curiosity-driven goals analysis (creation vs completion vs rejection rates) - [ ] CI/CD integration for behavioral regression detection

Performance & Optimization

Future Considerations: - [ ] Batch processing for plan executions - [ ] Caching strategies for frequently accessed metrics - [ ] Query optimization for large-scale deployments

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Last Updated: 2025-12-15