Initial commit: Multi-service AI agent system

- Frontend: Vite + React + TypeScript chat interface
- Backend: FastAPI gateway with LangGraph routing
- Knowledge Service: ChromaDB RAG with Gitea scraper
- LangGraph Service: Multi-agent orchestration
- Airflow: Scheduled Gitea ingestion DAG
- Documentation: Complete plan and implementation guides

Architecture:
- Modular Docker Compose per service
- External ai-mesh network for communication
- Fast rebuilds with /app/packages pattern
- Intelligent agent routing (no hardcoded keywords)

Services:
- Frontend (5173): React chat UI
- Chat Gateway (8000): FastAPI entry point
- LangGraph (8090): Agent orchestration
- Knowledge (8080): ChromaDB RAG
- Airflow (8081): Scheduled ingestion
- PostgreSQL (5432): Chat history

Excludes: node_modules, .venv, chroma_db, logs, .env files
Includes: All source code, configs, docs, docker files

knowledge_service/knowledge_agent_plan.md

@@ -0,0 +1,56 @@
+# GOAL
+
+Build a \"Deep Knowledge Agent\" (DKA) that acts as a secure,
+quarantined bridge between the Chat Gateway and private data sources.
+
+# ARCHITECTURE OVERVIEW
+
+## Layers
+
+1.  Public Gateway: FastAPI (The \"Voice\").
+2.  Orchestration Layer: LangGraph Supervisor (The \"Router\").
+3.  Quarantined Agent: DKA / Librarian (The \"Keeper of Secrets\").
+    - Strictly Read-Only.
+    - Accesses ChromaDB and Media stores.
+4.  Specialist Agent: Opencode (The \"Engineer\").
+
+## Data Sources (The \"Knowledge Mesh\")
+
+- [ ] **Code**: Gitea (Repos, Markdown docs).
+- [ ] **Notes**: Trilium Next, Obsidian, Flatnotes, HedgeDoc.
+- [ ] **Wiki**: DokuWiki.
+- [ ] **Inventory**: HomeBox (Physical gear, photos).
+- [ ] **Tasks**: Vikunja.
+- [ ] **Media**: Immich (Photos/Videos metadata via Gemini Vision).
+
+## Agent Tooling & Orchestration
+
+- [ ] **Orchestrators**: CAO CLI, Agent Pipe.
+- [ ] **External Agents**: Goose, Aider, Opencode (Specialist).
+
+# COMPONENT DETAILS
+
+## The Librarian (DKA - LangGraph)
+
+- Purpose: Semantic retrieval and data synthesis from vectors.
+- Tools:
+  - `query_chroma`: Search the vector database.
+  - `fetch_media_link`: Returns a signed URL/path for Immich/HomeBox
+    images.
+- Constraints:
+  - NO `bash` or `write` tools.
+
+## The Ingestion Pipeline (Airflow/Custom Python)
+
+- [ ] **Multi-Source Scrapers**: API-based (Gitea, Immich) and
+  File-based (Obsidian).
+- [ ] **Vision Integration**: Gemini analyzes Immich photos to create
+  searchable text descriptions.
+- [ ] **Storage**: ChromaDB (Vectors) + PostgreSQL (Metadata/Hashes).
+
+# [TODO]{.todo .TODO} LIST \[0/4\] {#list-04}
+
+- [ ] Create \'knowledge~service~\' directory.
+- [ ] Implement `test_rag.py` (Hello World retrieval).
+- [ ] Build basic scraper for `hobbies.org`.
+- [ ] Integrate DKA logic into the FastAPI Gateway.