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v0.2 Open Source Release

The Agentic Database Command Center

Arivu bridges your data and AI — a scalable Python SDK with a beautiful no-code observability dashboard for orchestrating intelligent data pipelines.

pip install arivu-aiExplore Features
main.py
from arivu import Arivu # Initialize the engine app = Arivu.connect( database_url="postgresql://user:pass@localhost:5432/db", llm_provider="openai", monitoring=True ) # Run AI pipeline q = app.query("What are the top 5 highest grossing customers?") response = app.run_pipeline(q) print(response)
Features

Powerful Agentic Capabilities

Everything you need to orchestrate pipelines, observe agent reasoning, and manage federated connections — unified.

Natural Language Querying

Translate plain English into optimized SQL. Arivu executes queries safely and renders answers as charts or tables — no SQL knowledge required.

Multi-Database Federation

Connect PostgreSQL, MySQL, SQLite, Databricks, and Snowflake. Switch active environments securely on the fly from a single interface.

Graph-Based Observability

Deep-dive into granular pipeline traces, node latencies, memory state tracking, and SQL syntax errors in real-time — never wonder why an agent failed.

Unified Dashboard

Monitor metrics, view conversation states across platforms, manage credentials, and deploy your agent from a single pane of glass.

SDK & MCP Support

Extend agents with a robust Python SDK and native MCP integrations for seamless AI tool execution inside Cursor or Windsurf.

Automations & Mail

Trigger recurring dataset checks and dispatch automated email reports, query results, and system alerts directly to your team's inbox.

How Arivu Works

From raw database connections to fully automated insights in four simple steps.

01

Connect Your Database

Link PostgreSQL, MySQL, SQLite, Databricks, or Snowflake in seconds. Arivu securely maps your schema, relationships, and metadata automatically.

Connect Your Database
02

Configure the Intelligent Engine

Select from top-tier models like OpenAI, Anthropic, or run local open-source models via Ollama. Customize prompts and set up your agentic pipeline.

Configure the Intelligent Engine
03

Query with Natural Language

Ask questions naturally. The agent generates SQL, executes it safely, and renders beautiful charts and data tables instantly in the chat interface.

Query with Natural Language
04

Deploy, Automate & Monitor

Connect to Slack, Discord, or schedule automated email reports. Monitor all pipeline traces, SQL syntax, and performance in real-time.

Deploy, Automate & Monitor

Ecosystem

Architecture Overview

Arivu sits at the center of your data stack — connecting databases, LLM providers, and communication channels through a unified agentic pipeline.

LLM Providers
OpenAIOpenAI
AnthropicAnthropic
GroqGroq
DeepSeekDeepSeek
OllamaOllama
HuggingFaceHuggingFace
Data Sources
PostgreSQLPostgreSQL
MySQLMySQL
SQLiteSQLite
DatabricksDatabricks
SnowflakeSnowflake
Engine
Arivu
Arivu
Dashboard
SDK
Channels
TelegramTelegram
WhatsAppWhatsApp
SlackSlack
DiscordDiscord
MCP Integrations
CursorCursor
WindsurfWindsurf
Claude CodeClaude Code

Natural Language → SQL → Structured Response

Databases

Supported Databases

Connect and federate data from your favorite warehouses and SQL databases.

PostgreSQLPostgreSQL
MySQLMySQL
SQLiteSQLite
DatabricksDatabricks
SnowflakeSnowflake
Models

Supported LLM Providers

Arivu routes intelligently to your preferred model provider automatically.

OpenAIOpenAI
AnthropicAnthropic
GroqGroq
DeepSeekDeepSeek
OllamaOllama
Hugging FaceHugging Face
AlibabaAlibaba
Platforms

Communication Platforms

Deploy directly to the platforms your team already uses, plus REST API for full control.

SlackSlack
DiscordDiscord
TelegramTelegram
WhatsAppWhatsApp
REST APIREST API
Open Source

Start querying your data intelligently today

Arivu is fully open source. Star it, fork it, or contribute — the agentic data layer is yours to build on.

View on GitHubpip install arivu-ai