GitHub - getnao/nao: 👾 nao is an open source analytics agent. (1) Create context with nao-core cli, (2) deploy nao chat interface for everyone

The #1 Open-Source Analytics Agent

🌐 Website · 📚 Documentation · 💬 Slack

What is nao?

nao is a framework to build and deploy analytics agent.
Create the context of your analytics agent with nao-core cli: data, metadata, modeling, rules, etc.
Deploy a UI for anyone to chat with your agent and run analytics on your data.

Key Features

For data teams:

• 🧱 Open Context Builder — Create a file-system like context for your agent. Add anything you want in the context: data, metadata, docs, tools, MCPs. No limit.
• 🏳️ Data Stack Agnostic — Works with any data warehouse, stack, type of context, LLM.
• 🕵🏻‍♀️ Agent Reliability Visibility — Unit test your agent performance before deploying it to users. Version the context and track the performance of your agent over time. Get users feedbacks to improve the agent and track their usage.
• 🔒 Self-hosted & secure — Self-host your analytics agent and use your own LLM keys to guarantee maximum security for your data.

For business users:

• 🤖 Natural Language to Insights — Ask questions in plain English, get analytics straight away
• 📊 Native Data Visualization — Create and customize visualizations directly in the chat interface
• 🧊 Transparent Reasoning — See the agent reasoning and sources clearly
• 👍 Easy Feedback — Send feedback to the data team when a answer is right or wrong

⚡️ Quickstart your agent in 1 minute

• Step 1: Install nao-core package

• Step 2: Initialize a nao project

  It will ask you:

  • To name your project
  • If you want to connect a database (optional)
  • If you want to add a repo in agent context (optional)
  • To add an LLM key (optional)
  • If you want to setup a Slack connection (optional)

  💡 You can skip any optional question and configure them later in your nao_config.yaml file.

  This will create:

  • A new folder with your project name
  • An architecture for your context files
  • A nao_config.yaml configuration file
  • A RULES.md file

• Step 3: Verify your setup

  cd to the project folder and run:

• Step 4: Synchronize your context

  This will populate your context folder with your context files (data, metadata, repos, etc.)

• Step 5: Launch the chat and ask questions

  This will start the nao chat UI. It will open the chat interface in your browser at http://localhost:5005. From there, you can start asking questions to your agent.

Evaluation framework

Unit test your agent performance before deploying it to users. First, create a folder tests/ with questions and expected SQL in yaml. Then, measure agent's performance on examples with nao test command:

View results in tests panel:

Commands

nao --help
Usage: nao COMMAND

╭─ Commands ────────────────────────────────────────────────────────────────╮
│ chat         Start the nao chat UI.                                       │
│ init         Initialize a new nao project.                                │
│ sync         Sync context from your context sources (databases, repos)    │
│ test         Measure agent's performance on test examples.                │
│ debug        Debug and troubleshoot your nao setup.                       │
│ --help (-h)  Display this message and exit.                               │
│ --version    Display application version.                                 │
╰───────────────────────────────────────────────────────────────────────────╯

🐳 Docker

Pull the image from DockerHub:

docker pull getnao/nao:latest

Run nao chat with Docker using the example project bundled in the image:

docker run -d \
  --name nao \
  -p 5005:5005 \
  -e BETTER_AUTH_URL=http://localhost:5005 \
  getnao/nao:latest

Run nao chat with Docker using your local nao project:

docker run -d \
  --name nao \
  -p 5005:5005 \
  -e BETTER_AUTH_URL=http://localhost:5005 \
  -v /path/to/your/nao-project:/app/project \
  -e NAO_DEFAULT_PROJECT_PATH=/app/project \
  getnao/nao:latest

Access the UI at http://localhost:5005 (or at any URL you configured).

See the DockerHub page for more details.

For end-to-end self-hosted deployment (for example on Cloud Run with PostgreSQL), see the Deployment Guide.

👩🏻‍💻 Development

See CONTRIBUTING.md for development setup, commands, and guidelines.

📒 Stack

Backend

• Fastify: https://fastify.dev/docs/latest/
• Drizzle: https://orm.drizzle.team/docs/get-started
• tRPC router: https://trpc.io/docs/server/routers

Frontend

• tRPC client: https://trpc.io/docs/client/tanstack-react-query/usage
• Tanstack Query: https://tanstack.com/query/latest/docs/framework/react/overview
• Shadcn: https://ui.shadcn.com/docs/components

⛹️‍♀️ Join the Community

• Star the repo
• Subscribe to releases (Watch → Custom → Releases)
• Follow us on LinkedIn
• Join our Slack
• Contribute to the repo!

🫰🏻 Partners

nao Labs is a proud Y Combinator company!

📄 License

This project is licensed under the Apache 2.0 License - see the LICENSE file for details.