Connect your databases and manage your entire data infrastructure in plain English — queries, table creation, stored procedures, ETL, everything — from any IDE, LLM, or AI agent.
Four steps from zero to full data intelligence across your entire organization.
Create a free account. You get an API key instantly — this is your agent's identity in the AIOS system.
Paste a connection string. AIOS supports 10 database types — SQL Server, PostgreSQL, MySQL, MongoDB, Oracle, SQLite, Snowflake, BigQuery, Redshift, ClickHouse.
Drop your AIOS key into Claude Code, Cursor, Windsurf, ChatGPT, or any tool that talks HTTP. One header: X-AIOS-Key.
AIOS auto-discovers every schema, builds a knowledge graph, and your agents can immediately query, update, and build databases in plain English.
Connect a database in 5 seconds. Then do everything — queries, updates, table creation, views, encryption, triggers, ETL — from any IDE or LLM you already use. No SQL required.
"Show me all unpaid invoices over $5K from the last 90 days"
"Create a Customers table with name, email, and signup date"
"Build a stored procedure that calculates monthly commission payouts by sales rep using the tiered rate schedule"
"Set up row-level security on Orders so each rep only sees their own"
"Normalize the legacy FlatOrders table into 3NF — split into Customers, Orders, OrderLines, and Products with FKs, migrate the data, and create a backward-compatible view"
"Compare commission totals between QuickBooks and the CRM for Q1, flag discrepancies over $100, and write exceptions to a new reconciliation table"
"Build a star schema data warehouse — create FactSales and dimension tables for Customer, Product, Time, and Region, write the ETL as stored procedures, and schedule nightly"
DDL, DML, encryption, partitioning, triggers, stored procedures, row-level security, indexing, normalization, ETL — every feature of all 10 supported database types, accessible in conversation. AIOS doesn't guess — it assembles context from 8 sources including your full schema, knowledge graph, sample data, and learned corrections to generate correct, database-specific SQL every time.
LangChain can run a SELECT. AIOS can architect your entire database in conversation.
Every AI coding tool needs project context — and every one uses a different file format. Instead of maintaining static files scattered across every repo, AIOS stores all context in the database. Your IDE fetches it with one API call. Always current, never stale.
# GET /api/aios/ide/context/my-project # My SaaS App E-commerce platform with microservices architecture. - Live: https://app.example.com - Stack: Node.js, React, PostgreSQL, Redis ## Code Conventions Use TypeScript strict mode. Prefer functional components. API routes follow REST naming: /api/v2/[resource]. ## Database Schema Context - ecommerce contains Orders, Products, Users - Orders.UserId joins to Users.Id - analytics contains Events, Sessions ## Known Corrections - Use dayjs not moment (deprecated) - Auth middleware is at /lib/auth not /utils --- Context generated by AIOS — always current
Most AI assistants answer from static knowledge. AIOS Brain answers from your live infrastructure — and can take action on it. It's the first conversational AI that operates your data estate, not just describes it.
# POST /api/aios/brain/chat # Auth: X-AIOS-Key or Bearer token > "What databases do I have?" MCP: My sensors detect 41 databases across the Grid. Finance: a5finance, figfinance. CRM: crm-fig, bid-fig. ERP: erp-swansolutions. Tools used: query_schema_sources > "Email dusty a summary of today's activity" MCP: Initiating data transfer. Grid analysis: 14 decisions logged, 3 corrections applied, 2 schema changes detected. Transmitting summary to dusty@swank12.com... Complete. Tools used: query_decisions, send_email > "Show me overdue invoices from figfinance" MCP: Executing query on figfinance... Tools used: run_sql_query | InvoiceId | Customer | Amount | | INV-4421 | Meridian | $120,000 | | INV-4425 | Coastal | $85,000 |
Everything AI agents need to operate across your entire database estate.
Point AIOS at any database — SQL Server, PostgreSQL, MySQL, MongoDB, Oracle, Snowflake, BigQuery, and more. It maps every table, column, primary key, and foreign key automatically.
Query across any combination of databases in a single API call. Multi-step orchestration with access control per agent.
Embeddings-powered search across all your schemas and knowledge. Ask "which tables store payment data?" and get precise answers.
Auto-built graph of entity relationships from foreign keys. Traverse connections between databases, tables, and data flows.
Track how data flows between systems. Know that when an invoice changes, it affects figures in three downstream databases.
Agents log decisions. Humans correct mistakes. Corrections auto-embed into the vector store. Your AI gets smarter with every interaction.
A conversational AI that operates your data infrastructure. Ask questions, run queries, send emails, get briefings — from your dashboard or IDE. It manages your AI agents and explains your data in plain English.
Catalog your Claude Code skills tenant-wide. Every .claude/skills/*.md capability pack becomes discoverable across projects — any agent can semantic-search existing skills before reinventing them. Push once, reuse everywhere, version-bumped automatically by content hash.
A single intelligent layer between your databases and your AI agents.
LangChain, CrewAI, OpenAI, Custom
Discovery • Graph • Search • Learning
SQL Server • PostgreSQL • MySQL • MongoDB • Oracle • SQLite • Snowflake • BigQuery • Redshift • ClickHouse
Start free. Scale as your agents grow. No credit card required.
Connect your databases in seconds. Manage everything in plain English from any IDE, LLM, or agent. Free to start.
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