nao

getnao.io

nao is an open-source analytics agent builder designed to help developers and data teams construct, evaluate, and deploy reliable analytics agents. By focusing on context engineering, the platform enables users …

nao Screenshot
getnao.io Live
Visits
1
Listed since
May 20, 2026
Audience
Best for: Data Engineers, Analytics Teams, …
Pricing
Open Source

About nao

TL;DR

nao is an open-source analytics agent builder designed to help developers and data teams construct, evaluate, and deploy reliable analytics agents. By focusing on context engineering, the platform enables users …

nao is an open-source analytics agent builder designed to help developers and data teams construct, evaluate, and deploy reliable analytics agents. By focusing on context engineering, the platform enables users to integrate AI-driven intelligence directly with their existing data stacks. This approach ensures that the agents operate with a deep understanding of the specific data structures and business logic unique to each enterprise. With nao, teams can build custom autonomous agents capable of querying databases, generating reports, and deriving insights without relying on rigid pre-packaged solutions. The open-source nature of the tool offers high flexibility and data privacy, allowing organizations to maintain full control over their sensitive information. By streamlining the development and testing of data agents, nao bridges the gap between raw data warehouses and actionable conversational insights, making it a valuable asset for modern data-driven enterprises seeking to implement agentic workflows.

Use Cases

Real-world scenarios where nao saves time.

Use Case 1: Deploying Self-Service Data Dashboards

Problem: Business development teams constantly request simple customer metric charts, causing bottlenecks for data analysts.
Solution: nao builds custom, secure analytics chat UIs that allow non-technical staff to query data warehouses in plain English.
Example: A sales executive types "How many active users signed up last month?", and nao queries BigQuery and renders a chart.

Use Case 2: Implementing Context-Aware SQL Generation

Problem: Open-source LLMs generate invalid SQL queries because they do not understand an enterprise's custom data schemas or DBT models.
Solution: nao builds structured file-system contexts containing schemas, queries, and business definitions to guide the agent.
Example: A developer structures custom model schemas in the context directory, ensuring 100% accurate SQL generation.

Key Features

What you get out of the box.

  • Connects open analytics agents to data warehouses
  • Generates optimized SQL queries from plain English
  • Builds structured file-system contexts for agents
  • Integrates directly with BigQuery, Snowflake, and DBT
  • Validates database accuracy with automated test suites
  • Supports local, self-hosted deployment models securely

Reviews (0)

Related Tags

Are you the owner of nao?

Claim this profile to update info, add features, and respond to reviews. Verified badges are free.

Login to claim

Embed nao on your site

Drop a live badge into your blog or docs — auto-updates with current rating, visits, and category.