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Agentic AI platform with a coding desktop app, CLI, and cloud agents for autonomous software development and office work.
AI tool that converts natural-language questions into SQL queries, sold via a Lemon Squeezy storefront with tiered pricing.
AI GitHub companion that summarizes PRs, answers questions and proposes fixes inside issues and pull requests.
AI-native spreadsheet connecting live databases and files, letting teams query and chart data with AI, Python, or SQL.
No public pricing
Free trial available
Free trial available
No public pricing
No public pricing
- ✦Multi-agent collaboration for end-to-end tasks
- ✦Persistent memory and custom rules
- ✦Extensible skills and plugins
- ✦Rich context across code, images, and directories
- ✦Automatic codebase documentation generation
- ✦Terminal-native CLI and JetBrains IDE plugin
- ✦Cloud-hosted agents for enterprise use
- ✦Natural language to SQL query generation
- ✦Standard and Pro subscription tiers
- ✦Checkout and billing via Lemon Squeezy
- ✦Chat inside GitHub issues and PRs
- ✦Task-to-implementation plans with code
- ✦Automatic bug-fix suggestions
- ✦Pull-request summaries for faster review
- ✦Full-codebase context
- ✦GitHub-native integration
- ✦Natural language to SQL conversion
- ✦Connects to Postgres, MySQL, Snowflake, BigQuery and other live databases
- ✦Imports CSV, Excel and PDF files alongside database connections
- ✦AI agent writes formulas, code and charts from plain-English prompts
- ✦Supports Python, SQL, formulas and JavaScript in the same sheet
- ✦Built-in connectors for QuickBooks, Google Analytics, Mixpanel and Plaid
- ✦MCP support so external AI agents can read/write spreadsheet cells
- ✦REST API for triggering AI runs and manipulating cells programmatically
- ✦Scheduled tasks and PDF data extraction
- →Autonomous feature development in large codebases
- →Terminal-based AI pair programming
- →Cross-department task automation for legal, finance, HR
- →Onboarding developers to unfamiliar codebases
- →Generating SQL queries without writing raw syntax
- →Helping non-technical users query databases
- →Speeding up ad hoc data lookups for analysts
- →Speeding up pull-request reviews
- →Implementing features from task descriptions
- →Debugging with AI-proposed solutions
- →Answering questions about a repo
- →Boosting a solo developer's output
- →Generating SQL queries from text descriptions.
- →Finance teams building recurring, auditable financial reports
- →Analysts combining multiple data sources into one live dashboard
- →Traders and investors tracking market and portfolio data
- →Product and sales teams generating forecasts and charts without formulas
- →Teams wanting an AI agent to verify and edit spreadsheet work directly