getnao/nao
👾 nao is an open source analytics agent. (1) Create context with nao-core cli, (2) deploy nao chat interface for everyone observed · 2026-08-28
Health v2 · maintenance only
82/100
- Activity 99
- Release rhythm 98
- Longevity 17
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 2
- age_days: 246
- days_rel: 13
- days_push: 7
- n_releases_24m: 54
Adoption not part of the score
1583 stars · 243 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
nao is an open-source framework for building and deploying analytics agents that answer natural-language questions about data. It combines a Python CLI (nao-core) for building agent context (data, metadata, rules, docs, MCPs) with a deployable chat interface for business users to run analytics and visualize results.
Use cases
- chat with your data warehouse in natural language
- build a text-to-sql analytics agent for my team
- self-host a business intelligence chatbot over BigQuery or Snowflake
- create a Slack bot that answers data questions
- version and unit test an analytics agent before deploying
- let non-technical users query Postgres without writing SQL
- add data visualization to a chat-based analytics interface
When to choose
- you want an open-source, self-hosted alternative to hosted analytics copilots
- your data team needs to control agent context, rules, and reliability testing
- you need natural-language analytics across multiple warehouses (BigQuery, Snowflake, Databricks, Postgres)
- you want to expose data insights to business users via chat UI or Slack
When to avoid
- you need a traditional BI dashboard tool with drag-and-drop report builders
- you cannot use LLMs or lack API keys for language models
- you need fully deterministic, non-agentic SQL reporting
- your project requires a permissively licensed dependency (license is custom/unspecified)
Facets
framework · maturity active
agent-framework chatbot data-visualization cli rag llm-inference analytics analytics data-science artificial-intelligence large-language-models self-hosted developer-tools python self-hosted cli text-to-sql analytics-agent context-engineering business-intelligence chat-with-your-data slack-bot data-warehouse bigquery snowflake databricks postgresql ai-agents typescript web-server docker
3 sources
- readme: https://github.com/getnao/nao · fetched 2026-08-28 · 9111b516e37d
- homepage: https://docs.getnao.io · fetched 2026-08-29 · b48153e3f16c
- site_page: https://docs.getnao.io/nao-agent/quickstart · fetched 2026-08-29 · 37dd80890014
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| getnao/nao | main | 82 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem