Happycapy
happycapy is an agent-native computer that runs in the browser and on mobile, giving developers a virtual desktop where AI agents can actually use a computer. Instead of just chatting, agents can browse, code, manipulate files, and run multi step workflows inside a secure cloud sandbox. The product targets developers, technical founders, and ambitious knowledge workers who want to delegate real work to Claude Code–style agents without touching complex terminals or infrastructure.
Make a decision about Happycapy
- Already use it? Add Happycapy to Stack Autopsy — check cost, overlap and safe cancellations.
- Thinking about buying it? Ask AI Advisor — compare fit, alternatives and trade-offs.
- Want to leave it? Find a replacement — see feature losses and migration risks.
Pricing
- Free: $0 per month; includes limited Claude Code access, limited MiniMax M2.5 access, limited AI model access via skills, basic sandbox environment, custom skill creation, and compatibility with open-source skills.
- Pro: $20 per month; includes everything in Free, plus 2,000 monthly Claude Code credits, expanded access to 150+ AI models via skills, unlimited MiniMax M2.5 access, 2 cores with 4GB RAM and 50GB storage, recurring task automation, and CapyMail email access.
- Max: $200 per month; includes everything in Pro, plus unlimited Claude Code access, unlimited access to 150+ AI models via skills, 4 cores with 8GB RAM and 200GB storage, increased automations and email quota, early iOS app access, agent teams with GUI (research preview), and priority human support.
Features
- Agent-native browser desktop: Live graphical desktop where users can watch agents work, inspect windows, and step in with clicks or keystrokes when needed.
- Secure cloud sandbox: Isolated environment per user or session, with controlled filesystem and visible resource usage for safer code execution.
- Claude Code centric agents: Deep-context AI coding support powered by Claude Code and other high end models for refactors, debugging, and complex analysis.
- Skill based workflows: Modular “skills” that extend agents with new tools, data sources, or workflows, which can be combined into richer automations.
- Templates and built in tools: Ready made templates, simple database and UI elements so users can assemble mini apps and workflows inside the same workspace.
Use cases
- Software Developers and Engineers: Offload scaffolding, refactors, test writing, and exploratory coding to agents in a controlled environment.
- Startup Founders and Indie Hackers: Prototype products, run competitor research, and wire together tools without building their own infra.
- Product, Ops, and Data Teams: Automate reporting, QA checks, data cleaning, and back office workflows that used to live in spreadsheets and scripts.
- Designers and Creative Professionals: Generate marketing visuals, decks, and content while agents handle repetitive layout or asset prep work.
- Uncommon Use Cases: Used by educators to demonstrate agent based computing in lab settings; adopted by solo consultants to build reusable, client specific automations without maintaining custom servers.