HappyCapy
Browser-based agent computer that lets users deploy and run autonomous AI agents 24/7 in a secure cloud sandbox environment.
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Product Overview
What is HappyCapy?
HappyCapy is an agent-native computing platform that transforms any browser into a complete AI agent workspace. Built by the original Trickle team and powered by Claude Code, it eliminates the need for local installations, terminal configurations, or technical setup. Users can delegate complex tasks to autonomous AI agents that actually execute work—writing code, creating files, running servers, making API calls, and delivering finished projects. The platform provides access to over 150 AI models and operates within a secure cloud sandbox, ensuring all agent activities remain isolated from local systems. With support for custom skills and multi-agent workflows, HappyCapy brings professional-grade AI automation to everyday users without requiring coding expertise.
Key Features
Zero-Setup Agent Environment
Browser-based platform requiring no installation, terminal configuration, or local setup. Simply open a tab and access a complete AI agent workspace with Claude Code built in.
Autonomous Task Execution
Agents independently write code, create files, run servers, and complete projects from start to finish without constant supervision or manual intervention.
Secure Cloud Sandbox
Isolated execution environment where AI agents operate without accessing local files or systems, protecting user data while allowing agents full freedom to work.
Multi-Model Access
Integration with over 150 AI models including Veo, image generators, and various LLMs, all accessible through a unified interface with skill-based workflows.
Skill-Based Computing
Install pre-built skills or create custom ones to enable agents to perform specific tasks, allowing users to stack multiple skills for complex workflows.
Cross-Device Accessibility
Cloud-based architecture enables access from any device including desktops, mobile phones, and tablets without performance limitations or local resource requirements.
Use Cases
- Web Development Projects : Developers can describe website or application requirements in natural language and let agents handle the complete build process, from coding to deployment.
- Content Creation Automation : Creators can automate design work, report generation, and multimedia content production by delegating tasks to specialized agents with appropriate skills.
- Data Processing Workflows : Teams can set up autonomous agents to handle data extraction, transformation, analysis, and reporting tasks continuously in the cloud environment.
- API Integration Tasks : Users can deploy agents to connect multiple services, make API calls, and orchestrate complex integrations without writing integration code manually.
- 24/7 Monitoring and Alerts : Businesses can run persistent agents that monitor systems, track changes, and trigger automated responses or notifications based on specific conditions.
FAQs
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