NexusAI roadmap addition
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# NexusAI — Master Roadmap
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> A modular, memory-centric AI assistant and personal second brain.
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> Built on Node.js, React/Vite, SQLite, Qdrant, and llama.cpp.
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> Repo: `https://gitea.jellystorm.com/storme/nexusAI`
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---
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## Current State (Completed)
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### Backend — Core Four Services
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- ✅ **Shared package** — `getEnv`, constants (`QDRANT`, `COLLECTIONS`, `EPISODIC`, `SERVICES`)
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- ✅ **Memory service** (port 3002, Mini PC 1) — SQLite schema (sessions, episodes, entities, relationships, summaries), FTS5 search, full CRUD endpoints, Qdrant semantic layer (3 collections), embedding write path
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- ✅ **Embedding service** (port 3003, Mini PC 1) — `nomic-embed-text` via Ollama, 768-dim vectors, `/embed` and `/embed/batch`
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- ✅ **Inference service** (port 3001, Main PC) — provider pattern (`INFERENCE_PROVIDER`), llama.cpp provider, `/complete` and `/complete/stream` (SSE)
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- ✅ **Orchestration service** (port 4000, Mini PC 2) — `/chat` and `/chat/stream`, session auto-create, dual-layer context assembly (recency + semantic), episode write-back
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### Memory System
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- ✅ Episodic memory — full conversation history in SQLite
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- ✅ Semantic memory — Qdrant vector search across episodes and entities
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- ✅ Entity extraction — background inference pass after each episode (qwen2.5:3b via Ollama)
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- ✅ Automatic summarization — triggered at context threshold, cumulative summary updates
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- ✅ Project memory isolation — project sessions fully isolated from each other and from non-project sessions
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### Chat Client
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- ✅ React/Vite frontend served via Caddy
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- ✅ Sidebar navigation — recent chats, projects, settings
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- ✅ Project management — CRUD, colour coding, isolated flag, ProjectView
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- ✅ Session management — auto-naming, project assignment, SessionModal
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- ✅ Streaming chat interface — SSE token-by-token rendering
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- ✅ Memory viewer — episode browsing, deletion, health panel
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- ✅ Settings panel — models section, configuration
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### Infrastructure
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- ✅ Caddy reverse proxy with Authelia SSO
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- ✅ Prometheus + Grafana monitoring (VRAM, CPU, RAM)
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- ✅ npm workspaces monorepo
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- ✅ Gitea self-hosted repo
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---
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## Phase 1 — Loose Ends & Stability
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*Target: Next development session (Saturday)*
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### Bug Fixes
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- [ ] **Entity extraction JSON parsing** — robustify response parser in `extraction.js` to handle model returning markdown fences or preamble around JSON
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- [ ] **Qdrant entity search empty results** — verify entities embedded post-isolation-fix are surfacing correctly in project session searches
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### Tech Debt
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- [ ] **Logging** — introduce `LOG_LEVEL` env var across all services; reduce noise in production
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- [ ] **Error response consistency** — audit all endpoints for uniform `{ error, detail }` shape
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- [ ] **Constants audit** — move any remaining inline magic numbers (limits, thresholds, timeouts) to shared config
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- [ ] **Orchestration `chat/index.js` review** — extract any logic that has grown beyond its intended scope into dedicated modules
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---
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## Phase 2 — Memory System Upgrades
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*The core intelligence layer*
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### 1. Knowledge Graph (SQLite)
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The highest-leverage memory upgrade. Transforms NexusAI from "remembers conversations" to "understands relationships between things."
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- [ ] Graph schema — `nodes` and `edges` tables with typed relationships
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- [ ] Entity → node promotion pipeline
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- [ ] Relationship traversal queries
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- [ ] Graph-aware context assembly in orchestration
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### 2. Retrieval Fusion + Full-Text Search
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Multi-strategy retrieval merged into a single ranked result set.
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- [ ] Reciprocal Rank Fusion (RRF) — merge semantic (Qdrant) + keyword (FTS5) results
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- [ ] Configurable weights per retrieval strategy
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- [ ] Score threshold tuning per collection
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### 3. Memory Consolidation Lifecycle
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Prevents long-term memory degradation and enables compression.
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- [ ] Episode aging — score/weight episodes by recency and access frequency
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- [ ] Consolidation pass — merge related low-weight episodes into summary nodes
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- [ ] Orphan cleanup — remove entities no longer referenced by active episodes
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### 4. User Preference Model
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Automatically maintained profile injected into every system prompt.
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- [ ] Preference schema — communication style, interests, known facts, tone preferences
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- [ ] Auto-update from conversation history
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- [ ] Manual override / review UI
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### 5. Confidence-Based Routing *(inspired by acid2lake)*
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Short-circuit simple requests before they reach the LLM.
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- [ ] Intent classifier in orchestration — categorise incoming messages
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- [ ] Confidence bands — FAST PATH (memory lookup only) vs FULL (LLM + context)
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- [ ] Fast-path handlers — direct memory queries, session lookups, factual recalls
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### 6. Smarter Context Assembly *(inspired by acid2lake)*
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Budget-aware context selection instead of dumping all relevant memory into the prompt.
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- [ ] Token budget manager in orchestration
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- [ ] Priority scoring — recency × relevance × entity weight
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- [ ] Configurable context budget via env var
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### 7. Procedural Memory Store *(inspired by acid2lake)*
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Learns "how NexusAI has successfully handled this type of request before."
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- [ ] Procedural memory schema — trigger pattern, steps, success count, confidence
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- [ ] Auto-population from successful interaction traces
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- [ ] Procedural context injection for matched request types
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### 8. Reflection / Self-Summarization
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NexusAI periodically reviews and synthesises its own memory.
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- [ ] Scheduled reflection pass — background job, configurable interval
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- [ ] Cross-session insight extraction
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- [ ] Summary nodes written back to knowledge graph
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- *Requires: Knowledge graph + consolidation lifecycle*
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### 9. Proactive Agent Loop
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The JARVIS moment — NexusAI reasons, plans, and acts across multiple steps.
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- [ ] Tool calling framework in orchestration
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- [ ] Built-in tools — memory search, entity lookup, summarize, web fetch
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- [ ] Reasoning loop — think → act → observe → respond
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- [ ] Agent mode toggle per session
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- *Requires: All Phase 2 items above*
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---
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## Phase 3 — Client Features
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*Making the daily driver experience excellent*
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### Core Chat Enhancements
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- [ ] Message regeneration — re-roll last AI response
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- [ ] Edit & resend — edit a previous message, clear subsequent history
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- [ ] Copy message button — hover icon per message
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- [ ] Message timestamps — subtle, toggleable
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- [ ] Token count display — per-response usage indicator
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### Memory Visibility
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- [ ] **"What I remember" panel** — show which episodes/entities were injected into context
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- [ ] Memory pinning — mark episodes as always-include
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- [ ] Session summary view — on-demand or auto-generated session summary
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- [ ] Memory attribution — subtle indicator on responses that were memory-informed
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### Session & Project Management
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- [ ] Session search — full-text search across all sessions
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- [ ] Session tagging — freeform tags beyond project assignment
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- [ ] Session export — download as markdown or JSON
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- [ ] Pinned sessions — pin frequently used sessions to sidebar top
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- [ ] Bulk session actions — delete, move to project
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### Model & Persona Controls *(high priority — circles back to companion origins)*
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- [ ] Per-session model switching — override default model per session
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- [ ] System prompt editor — per-session and per-project custom prompts
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- [ ] Persona profiles — saved configurations (model + system prompt + temperature)
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- Examples: "Daily Driver", "Creative Mode", "Concise Mode", "Coding Mode"
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- [ ] Temperature / parameter sliders — collapsible panel for power users
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### Second Brain Features
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- [ ] **Quick capture** — minimal input to save a thought directly to memory without starting a chat
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- [ ] **Knowledge graph visualiser** — interactive node/edge view of entities and relationships
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- [ ] Memory search page — dedicated search UI across all episodes and entities
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- [ ] Daily digest — generated summary of recent activity and learned facts
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### Quality of Life
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- [ ] Keyboard shortcuts — `Ctrl+K` command palette, `Ctrl+Enter` to send
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- [ ] Dark/light theme toggle
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- [ ] Mobile layout polish — collapsible sidebar, touch-friendly inputs
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- [ ] Notification support — browser notifications for long completions
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---
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## Phase 4 — Coding Copilot
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*After core is feature-complete*
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### Project Directory Awareness
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- [ ] Directory watcher service — monitors a VS Code workspace for changes
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- [ ] Symbol indexer — AST parsing via Tree-sitter, file → symbol map in SQLite
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- [ ] Diagnostic indexer — compiler errors/warnings per file, triggered on save
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- [ ] Maps to existing project isolation — coding project = NexusAI project with `indexedDirectory` flag
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### Coding-Specific Memory
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- [ ] Procedural patterns per language/framework — stored in procedural memory layer
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- [ ] Skill compilation — successful coding solutions abstracted into reusable patterns
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- [ ] Codebase semantic search — embed code chunks into Qdrant, search by intent
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---
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## Phase 5 — Stretch Goals
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### Voice Layer
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- [ ] TTS output — text-to-speech for AI responses
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- [ ] STT input — speech-to-text for voice messages
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- [ ] Hardware-dependent — deferred until appropriate hardware available
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- *Architecturally clean addition — new input/output modality only*
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### Homelab Enhancements
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- [ ] Backup improvements — automated, verified backups of SQLite + Qdrant data
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- [ ] Security hardening — network segmentation, service-level auth
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- [ ] IP webcam integration
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- [ ] Home Assistant integration
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---
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## Architecture Reference
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### Services & Nodes
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| Service | Host | Port | Role |
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| Inference | Main PC `192.168.0.79` | 3001 | llama.cpp provider, `/complete`, `/complete/stream` |
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| Memory | Mini PC 1 `192.168.0.81` | 3002 | SQLite, episode/entity/summary CRUD |
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| Embedding | Mini PC 1 `192.168.0.81` | 3003 | nomic-embed-text via Ollama, vector generation |
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| Qdrant | Mini PC 1 `192.168.0.81` | 6333 | Vector store — episodes, entities, summaries collections |
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| Orchestration | Hub `192.168.0.205` | 4000 | Chat pipeline, context assembly, session management |
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| Chat Client | Hub `192.168.0.205` | — | React/Vite, served via Caddy |
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| Caddy + Authelia | Hub `192.168.0.205` | 443 | Reverse proxy, SSO |
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### Primary Models
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| Role | Model | Notes |
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| Daily driver | Gemma 4 26B Claude Distill APEX I-Mini | `--reasoning off` flag critical |
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| Creative/worldbuilding | Gemma 4 21B REAP Q5_K_M | |
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| Coding | DeepSeek Coder V2 Lite Instruct Q6_K | |
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| Background tasks | qwen2.5:3b via Ollama | Entity extraction, summarization |
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### Key Design Principles
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- **Layer-by-layer validation** — backend → orchestration → frontend, curl-test each layer
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- **Fire-and-forget async** — embedding and entity extraction never block the chat response
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- **All services read settings on every request** — no restart required for config changes
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- **Backend-first development** — data layer → endpoints → orchestration proxy → frontend
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---
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*Last updated: April 2026*
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