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Agentic AI platform with a coding desktop app, CLI, and cloud agents for autonomous software development and office work.
Google Labs experiment for building and sharing AI mini-apps from natural-language prompts, no coding required.
No-code platform for building and running AI agents that automate work across data, sales and support tasks.
AI 'vibe coding' platform (formerly DhiWise, now Rocket.new) that turns a text prompt into full-stack web and mobile apps.
Unified API that gives AI agents web scraping, search, document extraction, and social/enrichment data through one billed endpoint.
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- ✦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
- ✦Build AI mini-apps from natural-language prompts
- ✦Visual editor for prompt/tool workflows
- ✦Share created apps with others
- ✦No-code AI app prototyping
- ✦Visual canvas to orchestrate multi-agent workflows
- ✦Prebuilt specialized agents (data, support, CRM, sales)
- ✦Access to many AI models with no vendor lock-in
- ✦Slack, Teams and email agent interaction
- ✦Recurring/scheduled tasks and triggers
- ✦Enterprise security: RBAC, VPC, audit logs, spend controls
- ✦Prompt-to-app full-stack generation
- ✦Auto-generated backend, database and auth
- ✦Choice of frameworks; you own the code
- ✦One-click deploy (Netlify, GitHub sync, custom domain)
- ✦Templates to reduce token use
- ✦Mobile app generation
- ✦Unified API for search, scrape, and extraction
- ✦Smart routing across multiple data providers
- ✦Document and PDF structured extraction
- ✦Social and media data (YouTube, TikTok, LinkedIn, reviews)
- ✦People and company enrichment
- ✦MCP and CLI surfaces for AI tools
- →Autonomous feature development in large codebases
- →Terminal-based AI pair programming
- →Cross-department task automation for legal, finance, HR
- →Onboarding developers to unfamiliar codebases
- →Prototyping an AI workflow quickly
- →Sharing a custom AI mini-app
- →Automating a task with chained prompts
- →Automate data analysis and reporting
- →Triage support tickets and spot patterns
- →Keep a CRM updated and research prospects
- →Deploy AI agents across a team's tools
- →Building full-stack apps from a prompt
- →Prototyping and launching MVPs quickly
- →Generating landing pages and websites
- →Creating mobile apps without coding
- →Feeding AI agents reliable external web data
- →Replacing several scraping and search subscriptions
- →Extracting structured data from PDFs and documents
- →Enriching leads with company and email data