Dash

Dash

A **self-learning data agent** built with systems engineering principles. It grounds answers in 6 layers of context and improves with every query.

Chat with Dash via Slack, the terminal, or the [AgentOS](https://os.agno.com?utm_source=github&utm_medium=example-repo&utm_campaign=agent-example&utm_content=dash&utm_term=agentos) web UI.

Quick Start

# Clone the repo
git clone https://github.com/agno-agi/dash.git && cd dash

cp example.env .env
# Edit .env and add your OPENAI_API_KEY

# Start the system
docker compose up -d --build

# Generate sample data and load knowledge
docker exec -it dash-api python scripts/generate_data.py
docker exec -it dash-api python scripts/load_knowledge.py

Confirm Dash is running at [http://localhost:8000/docs](http://localhost:8000/docs).

Connect to the Web UI

1. Open os.agno.com and login
2. Add OS → Local → http://localhost:8000
3. Click "Connect"

**Try it** (SaaS metrics dataset):

• What's our current MRR?
• Which plan has the highest churn rate?
• Show me revenue trends by plan over the last 6 months
• Which customers are at risk of churning?

Deploy to Railway

Railway deployment uses `.env.production` to keep production credentials separate from local dev.

cp example.env .env.production
# Edit .env.production — set OPENAI_API_KEY

Step 1: Deploy infrastructure

This creates the Railway project, database, and app service. The app will crash-loop until the JWT key is added in the next step — that's expected.

railway login
./scripts/railway_up.sh

Step 2: Get your JWT key

Production requires a `JWT_VERIFICATION_KEY` from [AgentOS](https://os.agno.com?utm_source=github&utm_medium=example-repo&utm_campaign=agent-example&utm_content=dash&utm_term=agentos). You need the Railway domain from step 1 to set this up.

1. Copy your Railway domain from the