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nao

The open-source analytics agent builder for context engineering

AI Toolsanalyticsopen-sourceai-agentllmdata-stackcontext-engineeringself-hosted
nao screenshot

About

nao is an open-source framework for building, evaluating, and deploying analytics agents that work with your own data stack. It lets data teams engineer the context (warehouse schema, metrics, models, rules) that drives agent reliability, then deploy a chat interface for business users to query data in plain English. The platform supports self-hosting, bring-your-own LLM keys, and integration with tools like Slack, Teams, and MCP-compatible clients.

Problem

Analytics agents are unreliable without properly engineered context, making it hard to deploy trustworthy AI-driven data querying for business users.

For

data teams and business analysts

How it works

Users define their agent's context (schema, metrics, models, rules) via the nao-core CLI, then deploy a chat UI or connect through MCP-compatible interfaces so anyone can query data in plain English.

Business model

open-source

Status

launched

Company

nao Labs

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