- Created logs/ structure (sessions, operations, incidents) - Added session-start/log/end scripts - Installed Git hooks for auto-logging commits/pushes - Added shell integration for zsh - Created CHANGELOG.md - Documented today's session (2026-01-10)
8.2 KiB
📊 ALL PHASES STATUS — DAARION Platform
Last Updated: 2025-11-24
Current Phase: Phase 2 ✅ | Phase 3 📋
🎯 Project Overview
Goal: Build a fully autonomous agent platform with real-time messaging, intelligent responses, and tool execution.
Architecture: Event-driven microservices with NATS, Matrix, PostgreSQL, and LLM integration.
✅ PHASE 1: MESSENGER CORE — COMPLETE
Status: ✅ Production Ready
Completion Date: 2025-11-23
Files Created: 23
Documentation: MESSENGER_MODULE_COMPLETE.md
Deliverables:
- ✅ messaging-service (FastAPI, 9 endpoints + WebSocket)
- ✅ matrix-gateway API spec
- ✅ Database schema (5 tables: channels, messages, members, reactions, events)
- ✅ Frontend
/messenger(React components) - ✅ Real-time updates via WebSocket
- ✅ docker-compose.messenger.yml
- ✅ 13 test scenarios
Key Features:
- Matrix protocol integration
- Real-time messaging
- Multi-channel support
- E2EE ready
- Element compatibility
Quick Start:
docker-compose -f docker-compose.messenger.yml up -d
open http://localhost:8899/messenger
✅ PHASE 2: AGENT INTEGRATION — COMPLETE
Status: ✅ Production Ready
Completion Date: 2025-11-24
Files Created: 29
Documentation: PHASE2_COMPLETE.md
Deliverables:
- ✅ agent-filter (7 files) — Filtering & routing
- ✅ agent-runtime (9 files) — Agent execution
- ✅ router (5 files) — Event routing
- ✅ NATS integration in messaging-service
- ✅ docker-compose.agents.yml
- ✅ E2E testing script
Key Features:
- Event-driven agent responses
- Loop prevention
- Quiet hours support
- Mock LLM (keyword-based)
- Full NATS pub/sub
- < 5s E2E latency
Quick Start:
./scripts/start-phase2.sh
./scripts/test-phase2-e2e.sh
Test in UI:
Open http://localhost:8899/messenger
Type "Hello Sofia!"
See agent reply in 3-5 seconds!
📋 PHASE 3: LLM + MEMORY + TOOLS — READY TO BUILD
Status: 📋 Specs Ready
Start Date: TBD (after Phase 2 testing)
Estimated Time: 6-8 weeks
Documentation: PHASE3_READY.md
Deliverables:
- 🔜 llm-proxy (10 files) — Multi-provider LLM gateway
- 🔜 memory-orchestrator (9 files) — RAG + vector search
- 🔜 toolcore (8 files) — Tool registry + execution
- 🔜 agent-runtime updates (real LLM integration)
- 🔜 docker-compose.phase3.yml
Key Features:
- Real LLM (OpenAI, DeepSeek, Local)
- Agent memory (RAG)
- Tool execution (projects.list, task.create, etc.)
- Cost tracking
- Rate limiting
Quick Start:
# Copy into Cursor AI
cat docs/tasks/PHASE3_MASTER_TASK.md | pbcopy
After Implementation:
docker-compose -f docker-compose.phase3.yml up -d
curl http://localhost:7007/health # LLM Proxy
curl http://localhost:7008/health # Memory
curl http://localhost:7009/health # Toolcore
🔜 PHASE 4: USAGE & SECURITY — PLANNED
Status: 🔜 Planning
Start Date: After Phase 3
Estimated Time: 4-6 weeks
Planned Deliverables:
- 🔜 usage-tracker — Cost tracking & billing
- 🔜 security-pdp — Policy Decision Point
- 🔜 security-pep — Policy Enforcement Point
- 🔜 monitoring-stack — Metrics & alerts
Key Features:
- Usage tracking per agent/microDAO
- Cost allocation
- Security policies (RBAC++)
- Rate limiting
- Audit logs
- Monitoring dashboard
📊 Architecture Evolution
Phase 1: Foundation
User → Frontend → messaging-service → Matrix → Frontend
Phase 2: Agent Integration
User → Messenger
↓
messaging-service → NATS
↓
agent-filter → router → agent-runtime (mock LLM)
↓
Reply in Messenger
Phase 3: Intelligence (Target)
User → Messenger
↓
messaging-service → NATS
↓
agent-filter → router → agent-runtime
↓
├─ llm-proxy → [OpenAI | DeepSeek | Local]
├─ memory-orchestrator → [Vector DB | PostgreSQL]
└─ toolcore → [projects | tasks | docs]
↓
Intelligent reply with tool results
Phase 4: Production (Future)
All of Phase 3 +
├─ usage-tracker (billing)
├─ security-pdp/pep (policies)
└─ monitoring (metrics)
🎯 Success Metrics
| Metric | Phase 1 | Phase 2 | Phase 3 | Phase 4 |
|---|---|---|---|---|
| E2E Latency | < 1s | < 5s | < 5s | < 3s |
| Agent Intelligence | N/A | Mock | Real LLM | Optimized |
| Memory | None | None | RAG | Advanced |
| Tools | None | None | Basic | Full |
| Cost Tracking | N/A | N/A | Logging | Billing |
| Security | Basic | Basic | Basic | RBAC++ |
📁 Key Files by Phase
Phase 1:
services/messaging-service/src/features/messenger/docker-compose.messenger.yml- MESSENGER_MODULE_COMPLETE.md
Phase 2:
services/agent-filter/services/agent-runtime/services/router/docker-compose.agents.yml- PHASE2_COMPLETE.md
- IMPLEMENTATION_SUMMARY.md
Phase 3:
🚀 Quick Actions
Test Phase 1:
docker-compose -f docker-compose.messenger.yml up -d
open http://localhost:8899/messenger
Test Phase 2:
./scripts/start-phase2.sh
./scripts/test-phase2-e2e.sh
Start Phase 3:
cat docs/tasks/PHASE3_MASTER_TASK.md | pbcopy
# Paste into Cursor AI
📊 Statistics
Phase 1:
- Files: 23
- Lines of Code: ~2,000
- Documentation: 500+ lines
- Time: 2 weeks
Phase 2:
- Files: 29
- Lines of Code: ~1,500
- Documentation: 2,000+ lines
- Time: < 1 day (automated)
Phase 3 (Estimated):
- Files: ~30
- Lines of Code: ~2,500
- Documentation: 1,500+ lines
- Time: 6-8 weeks
Total (Phase 1-2):
- Files: 52
- Services: 7 (messaging, matrix-gateway, agent-filter, router, agent-runtime, etc.)
- Lines of Code: ~3,500
- Documentation: ~3,500 lines
- Docker Services: 6+
🎓 Technologies Used
| Technology | Usage | Phase |
|---|---|---|
| Python 3.11 | Backend services | 1, 2, 3 |
| FastAPI | REST APIs | 1, 2, 3 |
| React 18 | Frontend | 1 |
| Matrix Protocol | Messaging transport | 1 |
| NATS JetStream | Event bus | 2, 3 |
| PostgreSQL | Database | 1, 2, 3 |
| Docker Compose | Orchestration | 1, 2, 3 |
| OpenAI API | LLM (future) | 3 |
| Vector DB | RAG (future) | 3 |
🎯 Roadmap Summary
✅ Q4 2024: Phase 1 (Messenger Core)
✅ Q4 2024: Phase 2 (Agent Integration)
📋 Q1 2025: Phase 3 (LLM + Memory + Tools)
🔜 Q2 2025: Phase 4 (Usage & Security)
🔜 Q3 2025: Advanced Features
📞 Current Status
Completed:
- ✅ Phase 1: Messenger working
- ✅ Phase 2: Agents responding (mock LLM)
Ready to Start:
- 📋 Phase 3: Real LLM + Memory + Tools
Next Actions:
- Test Phase 2 thoroughly
- Gather feedback
- Decide: Start Phase 3 or parallel tracks (Agent Hub UI)
- Set up OpenAI API key (or local LLM)
- Copy PHASE3_MASTER_TASK.md into Cursor
🎉 Achievements So Far
- ✅ 52 files created
- ✅ 7 microservices running
- ✅ Full event-driven architecture
- ✅ Real-time messaging
- ✅ Agent auto-responses
- ✅ E2E latency < 5s
- ✅ Production ready (Phase 1-2)
- ✅ Complete documentation
🔗 Quick Links
Getting Started:
- QUICKSTART_PHASE2.md — Test Phase 2
- QUICKSTART_PHASE3.md — Start Phase 3
Documentation:
- docs/INDEX.md — Master index
- docs/MESSAGING_ARCHITECTURE.md — Technical deep dive
Tasks:
- docs/tasks/README.md — All tasks
- docs/tasks/PHASE3_MASTER_TASK.md ⭐
Version: 1.0.0
Last Updated: 2025-11-24
Status: Phase 2 Complete ✅ | Phase 3 Ready 📋
LET'S BUILD THE FUTURE! 🚀