Aura Backend - Advanced AI Companion
About
The Aura Emotion AI system has chroma with a local embedding model, memvid qr code mp4 infinite memory, brainwave and neurochemical simulations, sociobiological reasoning, autonomous subsystem processing with a Gemini flash model so the main model is less taxed, is a MCP client w
Details
- Author
- angrysky56
- GitHub stars
- 9
- Downloads
- 319
- Categories
- Communication, AI, Other, Knowledge Base
Jump to
- ASEKE cognitive framework with emotional state detection
- ChromaDB vector database for persistent memory and search
- MCP server and client for bidirectional tool integration
- Real‑time thinking extraction and reasoning transparency
- Emotional trend analysis with brainwave and neurotransmitter correlation
- Local embeddings via Ollama or fastembed to avoid API costs
- MemVid infinite memory with .mv2 single‑file archival
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Aura Backend - Advanced AI CompanionCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install with uv (Python 3.12+), configure a .env file with a Google API key, then run ./start_full_system.sh to launch both backend and frontend automatically. Access the UI at http://localhost:5173 and the API docs at http://localhost:8000/docs. For MCP client integration, add the provided configuration to Claude Desktop's mcpServers JSON.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"aura backend - advanced ai companion": {
"emotion_ai": {
"command": "uv",
"args": [
"venv",
"--python",
"3.12"
]
}
}
}
}
McpServers
{
"emotion_ai": {
"command": "uv",
"args": [
"venv",
"--python",
"3.12"
]
}
}
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