| Name | Source | Size | Files | Verdict | Imported | Actions |
|---|
Drop
.md/.txt files to import, or click to browse (multiple supported)| Name | Lang | Size | Date | Actions |
|---|
Settings
AI Models
LLM Models
Embedding Models
Integrations
MCP Servers
SearXNG Engine
Unlimited-OCR
Audio Transcription
System
Monitoring
Install
Preferences
Appearance
Select Active LLM Generation Model
Choose the primary model used by Epicurious subagents and chatbot generation.
Add More Models
Scan an endpoint (Ollama, LM Studio, vLLM, etc.) and review/select what to add
llama3.2:3b
Local
Local Ollama model (localhost:11434) — used for chat, SQL generation, and wizard content.
Selecting a model applies and saves it immediately — no separate save step required.
Looking for custom prompt instructions? Open the chat panel's own Settings (Personalization > Custom Prompts).
Unlimited-OCR Vision Control
Enable or disable background OCR / vision model processing to manage GPU VRAM allocation.
Service & VRAM Management
Endpoint:
Model:
Behavior: When enabled, scanned PDFs and image files uploaded via Document-to-Skill or Chat will route through Unlimited-OCR for layout text extraction. Keep OFF when not needed to save VRAM for LLM models.
http://192.168.2.10:8200Model:
baidu/Unlimited-OCR (vLLM Engine)Behavior: When enabled, scanned PDFs and image files uploaded via Document-to-Skill or Chat will route through Unlimited-OCR for layout text extraction. Keep OFF when not needed to save VRAM for LLM models.
Unlimited-OCR Vision Fallback Status
Currently OFF — vision OCR will not run on uploaded PDFs/images
SearXNG Web Search Engine
Configure and monitor live web search integrations via your SearXNG instance.
Connection Details
Container:
Config Path:
API Route:
onyx-searxng on host spark:8888Config Path:
spark:/home/gigagrid/searxng/config/settings.ymlAPI Route:
/api/searxng/search?q=...
Enabled Search Engines
✓ DuckDuckGo
✓ Google
✓ Brave
✓ Bing
✓ Wikipedia
Select Active Embedding Model
Choose vector embedding models for codebase semantic search and RAG indexing.
Nomic Embed Text
Local
8192 context window local embedding model for code & docs.
Text Embedding 3
OpenAI
High-density 3072 dimension vector embedding API.
BGE Large v1.5
Local
BAAI top-ranking retrieval & semantic similarity model.
Selecting a model applies and saves it immediately — no separate save step required.
Model Context Protocol (MCP) Server Connections
Connect to local stdio, SQLite databases (WhatsApp context DB, CRM), PostgreSQL, or remote SSE/HTTP Model Context Protocol servers.
Quick Source Presets
Active Connected Custom MCP Servers
Register / Connect External Data Source
Audio Transcription Engines & Models
Manage local audio transcription engines, download Whisper & Moonshine models, and configure default transcription servers.
Active Local Engine Endpoint
Server:
Right-Click Quick Transcribe: Right-click any
http://127.0.0.1:8103 (whisper.cpp & Moonshine engine)Right-Click Quick Transcribe: Right-click any
.mp3, .wav, .m4a, .mp4, .aac, .ogg, .oga, .opus, .flac, .webm, .mov, or .wma file in the file explorer to transcribe immediately. Also available from the chat panel's mic button (🎙️).
Available Local Whisper Models (whisper.cpp)
Moonshine On-Device Models
Add Models From an Endpoint
Point at an IP/host running Ollama or an OpenAI-compatible server (LM Studio, vLLM, etc.) — it actually queries the server, lists every real model found, and you pick which ones to add.
Appearance
Choose a color theme for the dashboard.
Default
Warm Orange
Dark, warm-orange accent theme.
Bombay Sapphire
Liquid Glass
Deep sapphire blue with a glowing cyan accent and animated liquid-glass surfaces.
Evergreen
Jewel Beetle
Near-black with a metallic forest-green sheen and bright gold spot-color accents.
First-Run Setup
Backend Monitoring
Live status of every service the dashboard talks to. Auto-refreshes every 15s.
Last checked
Never
Install Info
System info & quick commands.
Install location
~/.claude/
Source repo
~/Epicurious/
⚡ FastMCP CLI Installation
Use the
fastmcp CLI tool to automatically install and register this harness into your favorite AI client with one command:
Claude Desktop
fastmcp install claude-desktop /Users/guychenya/Epicurious/scripts/epi.js
Cursor IDE
fastmcp install cursor /Users/guychenya/Epicurious/scripts/epi.js
Claude Code CLI
fastmcp install claude-code /Users/guychenya/Epicurious/scripts/epi.js
Manual JSON setup (for
claude_desktop_config.json or antigravity.json):
{
"mcpServers": {
"epicurious-harness": {
"command": "node",
"args": ["/Users/guychenya/Epicurious/scripts/epi.js", "mcp-server"]
}
}
}
Quick commands
node ~/Epicurious/scripts/epi.js doctor
node ~/Epicurious/scripts/epi.js list-installed
Update Epicurious
cd ~/Epicurious && git pull && bash ./install.sh --profile full --target claude
Chat Spaces
Pick a folder for Chat's Docs mode to search directly. If the folder contains a ZIP archive (PDF, DOCX, PPTX, XLSX, EPUB, or TXT documents inside), an Unzip action appears in that space's row to extract and convert it to Markdown.
Add a Folder Space
Chat's Docs mode will search this folder directly — no upload needed.
Configured Spaces
Analytics
Overview
Main KPIs
Activity
Recent Activity
Agent Chain Traces
Chat File Access
Loading analytics...
Main KPIs
Capability composition, wizard activity, and the SkillSpector security gate at a glance. Color signals state: green is healthy, amber needs review, red is a problem.
Live · updated just now
Total Capabilities
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Security Gate Health
Compositioncurated vs. imported
Wizard Activitylifecycle events
Trend deltas are illustrative placeholders showing where week-over-week change would appear once history is wired in.
SkillSpector Security Gate
Top Contributors
System Health
Ask a Question (SQL Chat)
Local LLM writes a read-only query against the wizard database (imported_skills, activity_log, curated_certifications). No writes are ever permitted.
Recent Activity
Every import, delete, disable, block, and direct file edit the wizard has recorded.
| When | Action | Kind | Name | Author | Verdict |
|---|
Agent Chain Traces
Every chat-driven @agent/@command run — tag one for a single execution or two+ for a sequential chain. Click a row to see each step's prompt, tool calls, and output.
| When | Question | Chain | Status |
|---|
Chat File Access
Every file chat has read to answer a question, with the question asked and when. File contents and AI answers are never logged here — path and timestamp only.
| When | File | Question |
|---|