byaan-ai

byaan-ai / byaan

Public

Open-Source data analyst your team actually owns. Ask in Slack, on Mac, or via MCP. Byaan learns your business. Read-only by design

www.byaan.ai ai ai-agents data-analytics mcp privacy
49
0
89% credibility
Found May 18, 2026 at 80 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Byaan is an AI data analysis tool that connects to your databases and lets you ask questions in plain English. It transforms your questions into working queries, creates interactive dashboards with charts and filters, and most importantly—remembers what it learns about your data over time. Unlike generic AI chat tools that forget everything after each answer, Byaan builds persistent context about your database schema, business definitions, and query patterns. You can use it as a Mac app for personal analysis, run it locally via Docker, or deploy it for your entire team with shared dashboards and collaborative learning. The tool supports PostgreSQL, MongoDB, MySQL, SQLite, SQL Server, and file uploads (CSV, Excel, Parquet, JSON), and keeps your data private by connecting directly to your databases rather than routing traffic through external servers.

How It Works

1
🔍 You discover Byaan

You hear about an AI that actually understands your data instead of forgetting everything after each question.

2
🔗 You connect your database

With a few clicks, you link your PostgreSQL, MySQL, or MongoDB database to Byaan—no technical setup required.

3
💬 You ask questions in plain English

Instead of writing SQL, you type 'What were our sales last month?' and Byaan figures out the rest.

4
📊 You get interactive dashboards

Byaan transforms your answer into charts and tables you can filter, explore, and share with your team.

5
Choose your path
🍎
Personal use

Download the Mac app and analyze your data privately from your own machine.

🏢
Team collaboration

Deploy for your team so everyone shares context and builds on each other's work.

6
🧠 Byaan remembers your data

Over time, Byaan learns what 'revenue' means at your company, which tables matter, and your business rules.

🎉 Your data knowledge compounds

Instead of starting from scratch every conversation, Byaan gets smarter about your data with every question you ask.

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AI-Generated Review

What is byaan?

Byaan is an AI-powered data analyst that lets your team query databases using plain English and generates interactive dashboards from the results. Built in Python with a React frontend, it connects to PostgreSQL, MongoDB, MySQL, SQLite, and more--plus handles CSV, Excel, and Parquet files through DuckDB. The core pitch is that unlike generic AI chat tools, Byaan learns your business context over time: it remembers metric definitions, schema quirks, and correction patterns so every conversation builds on the last instead of starting from scratch. You deploy it on your own infrastructure (Mac app, local Docker, or self-hosted team server) and bring your own AI models.

Why is it gaining traction?

The learning loop is the differentiator. Most AI data tools treat every query as isolated, but Byaan accumulates tribal knowledge--saved queries, schema annotations, metric definitions, and team-wide corrections compound across the workspace. The MCP server integration is a practical hook for developers: you can query your connected databases directly from Claude Code, Cursor, or Codex CLI without leaving your coding environment. Slack integration means non-technical teammates can ask questions without switching tools. The read-only design with explicit guardrails blocking writes across SQL, MongoDB, DynamoDB, and DuckDB addresses the trust barrier that kills many internal AI tools.

Who should use this?

Development teams that want a self-hosted analytics layer without handing data to third-party AI services. Data analysts who want natural language queries without writing SQL repeatedly. Small-to-medium teams running their own infrastructure who need shared context across team members--the team version supports multi-user auth, Google SSO, RBAC, and shared dashboards. If you're already paying for Claude Pro or OpenAI and want to apply that to your own database, this fills that gap cleanly. Not suitable for teams needing enterprise SLA support or organizations unwilling to manage self-hosted infrastructure.

Verdict

Byaan solves a real problem--persistent context for AI-assisted data querying--with a thoughtful architecture that keeps data on your infrastructure. The 49 stars and 0.90% credibility score reflect an early-stage project, so production teams should evaluate carefully and test against their specific database schemas before committing. The dual licensing (MIT community, Elastic 2.0 for team features) is worth understanding if you plan to extend the codebase. For developers comfortable with Docker and wanting to own their AI analytics stack, this is worth watching--but factor in the maintenance burden of self-hosting before betting on it for critical reporting workflows.

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