Apple
744c149300
✨ Add automated session logging system
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Build and Deploy Docs / build-and-deploy (push) Has been cancelled
- 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)
2026-01-10 04:53:17 -08:00
Apple
778907cf0e
docs: add NODE3 (Threadripper PRO + RTX 3090) to infrastructure
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Added NODE3 - AI/ML Workstation Specification:
Hardware:
- CPU: AMD Ryzen Threadripper PRO 5975WX (32 cores / 64 threads, 3.6 GHz boost)
- RAM: 128GB DDR4
- GPU: NVIDIA GeForce RTX 3090 24GB GDDR6X
- 10496 CUDA cores
- CUDA 13.0, Driver 580.95.05
- Storage: Samsung SSD 990 PRO 4TB NVMe
- Root: 100GB (27% used)
- Available for expansion: 3.5TB
System:
- Hostname: llm80-che-1-1
- IP: 80.77.35.151:33147
- OS: Ubuntu 24.04.3 LTS (Noble Numbat)
- Container Runtime: MicroK8s + containerd
- Uptime: 24/7
Security Status: ✅ CLEAN (verified 2026-01-09)
- No crypto miners detected
- 0 zombie processes
- CPU load: 0.17 (very low)
- GPU utilization: 0% (ready for workloads)
Services Running:
- Port 3000 - Unknown service (needs investigation)
- Port 8080 - Unknown service (needs investigation)
- Port 11434 - Ollama (localhost only)
- Port 27017/27019 - MongoDB (localhost only)
- Kubernetes API: 16443
- K8s services: 10248-10259, 25000
Recommended Use Cases:
- 🤖 Large LLM inference (Llama 70B, Qwen 72B, Mixtral 8x22B)
- 🧠 Model training and fine-tuning
- 🎨 Stable Diffusion XL image generation
- 🔬 AI/ML research and experimentation
- 🚀 Kubernetes-based AI service orchestration
Files Updated:
- INFRASTRUCTURE.md v2.4.0
- docs/infrastructure_quick_ref.ipynb v2.3.0
NODE3 is the most powerful node in the infrastructure:
- Most CPU cores: 32c/64t (vs 16c M4 Max)
- Most RAM: 128GB (vs 64GB)
- Dedicated GPU: RTX 3090 24GB VRAM
- Largest storage: 4TB NVMe (vs 2TB)
Co-Authored-By: Warp <agent@warp.dev >
2026-01-09 05:53:16 -08:00
Apple
21691aa042
docs: document Security Incident #2 - recurring container compromise
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Security Incident #2 Emergency Response (Jan 9, 2026):
- Documented second compromise with NEW crypto miners (softirq, vrarhpb)
- Root cause: Docker image auto-restarted after server reboot
- Emergency mitigation completed (processes killed, container/images removed, load normalized)
- Created comprehensive rebuild task document: TASK_REBUILD_DAARION_WEB.md
- Updated INFRASTRUCTURE.md v2.3.0 with Incident #2 timeline and lessons learned
- Updated infrastructure_quick_ref.ipynb v2.2.0 with security status
Critical Changes:
- daarion-web container permanently disabled until secure rebuild
- Docker images DELETED (not just container stopped)
- Enhanced firewall rules (SSH rate limiting, port scan blocking)
- Retry test registered with Hetzner
- System load normalized: 30+ → 4.19
- Zombie processes cleaned: 1499 → 5
Files Created/Updated:
1. TASK_REBUILD_DAARION_WEB.md - Detailed rebuild instructions for Cursor agent
2. INFRASTRUCTURE.md - Added Incident #2 to Security section
3. docs/infrastructure_quick_ref.ipynb - Updated security status and version
Lessons Learned:
- ALWAYS delete Docker images, not just containers
- Auto-restart policies are dangerous for compromised containers
- Complete removal = container + image + restart policy change
Status: Emergency mitigation complete, statement submission pending (deadline: 2026-01-09 12:54 UTC)
Hetzner Incident ID: 10F3971:2A (AbuseID)
Co-Authored-By: Warp <agent@warp.dev >
2026-01-09 02:08:13 -08:00
Apple
a1091b03a3
docs: add Cursor Agent SSH access instructions for NODE1
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- Add detailed SSH connection guide for Cursor agents
- Include common commands, safety checks, and troubleshooting
- Add interactive session example and best practices
- Update INFRASTRUCTURE.md with section for Cursor agents
- Update infrastructure_quick_ref.ipynb with SSH access configuration
- Provide complete workflow examples for remote operations
Co-Authored-By: Warp <agent@warp.dev >
2026-01-09 02:08:13 -08:00
Apple
e829fe66f2
docs: security incident resolution & firewall implementation
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- Document network scanning incident (Dec 6 2025 - Jan 8 2026)
- Add firewall rules to prevent internal network access
- Deploy monitoring script for scanning attempts
- Update INFRASTRUCTURE.md v2.2.0 with Security section
- Update infrastructure_quick_ref.ipynb v2.1.0
- Root cause: compromised daarion-web container with crypto miner
- Resolution: container removed, firewall applied, monitoring deployed
Co-Authored-By: Warp <agent@warp.dev >
2026-01-09 02:08:13 -08:00
GitHub Action
e3a8b7464a
docs: auto-update repository information [skip ci]
2025-12-08 09:30:23 +00:00
Apple
fca48b3eb0
feat(node2): Complete NODE2 setup - guardian, agents, swapper models
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- Node-guardian running on MacBook and updating metrics
- NODE2 agents (Atlas, Greeter, Oracle, Builder Bot) assigned to node-2-macbook-m4max
- Swapper models displaying correctly (8 models)
- DAGI Router agents showing with correct status (3 active, 1 stale)
- Router health check using node_cache for remote nodes
2025-12-02 07:07:58 -08:00
GitHub Action
f0d113e234
docs: auto-update repository information [skip ci]
2025-12-01 09:30:48 +00:00
Apple
3de3c8cb36
feat: Add presence heartbeat for Matrix online status
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- matrix-gateway: POST /internal/matrix/presence/online endpoint
- usePresenceHeartbeat hook with activity tracking
- Auto away after 5 min inactivity
- Offline on page close/visibility change
- Integrated in MatrixChatRoom component
2025-11-27 00:19:40 -08:00
Apple
0ca44dd799
docs: оновлено infrastructure_quick_ref.ipynb - Swapper Service замість Vision Encoder
2025-11-21 00:52:35 -08:00
Apple
31f3602047
feat: оновлення інфраструктури з Node #2 та нові сервіси
2025-11-21 00:35:03 -08:00
Apple
4601c6fca8
feat: add Vision Encoder service + Vision RAG implementation
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- Vision Encoder Service (OpenCLIP ViT-L/14, GPU-accelerated)
- FastAPI app with text/image embedding endpoints (768-dim)
- Docker support with NVIDIA GPU runtime
- Port 8001, health checks, model info API
- Qdrant Vector Database integration
- Port 6333/6334 (HTTP/gRPC)
- Image embeddings storage (768-dim, Cosine distance)
- Auto collection creation
- Vision RAG implementation
- VisionEncoderClient (Python client for API)
- Image Search module (text-to-image, image-to-image)
- Vision RAG routing in DAGI Router (mode: image_search)
- VisionEncoderProvider integration
- Documentation (5000+ lines)
- SYSTEM-INVENTORY.md - Complete system inventory
- VISION-ENCODER-STATUS.md - Service status
- VISION-RAG-IMPLEMENTATION.md - Implementation details
- vision_encoder_deployment_task.md - Deployment checklist
- services/vision-encoder/README.md - Deployment guide
- Updated WARP.md, INFRASTRUCTURE.md, Jupyter Notebook
- Testing
- test-vision-encoder.sh - Smoke tests (6 tests)
- Unit tests for client, image search, routing
- Services: 17 total (added Vision Encoder + Qdrant)
- AI Models: 3 (qwen3:8b, OpenCLIP ViT-L/14, BAAI/bge-m3)
- GPU Services: 2 (Vision Encoder, Ollama)
- VRAM Usage: ~10 GB (concurrent)
Status: Production Ready ✅
2025-11-17 05:24:36 -08:00