Capy

Capy is a web-based development environment built from the ground up for multi-agent AI orchestration, allowing engineers to run up to 25 concurrent AI coding agents in parallel. Instead of managing one AI assistant at a time, Capy lets you assign tasks to fleets of agents—each working in its own sandboxed VM with its own Git branch—so entire sprints can ship simultaneously. Trusted by 50,000+ engineers at companies like Perplexity, Cloudflare, Vercel, and Anthropic, Capy replaces the traditional single-cursor IDE with a task-centric, parallel-native workflow.

• Parallel Agent Orchestration: Run up to 25 concurrent AI agents simultaneously, each assigned to a separate task, branch, and sandboxed environment—eliminating sequential bottlenecks.
• Model Agnostic: Mix and match frontier models including Claude Opus, GPT-5, Gemini, Grok, Kimi K2, and Qwen for different tasks within the same workflow.
• Captain Capy Planning Agent: A dedicated planning agent that refines prompts, breaks down issues into structured tickets, and one-shots complex tasks that would otherwise take hours of debugging.
• Task-Based Workflow: Work is organized around tasks (issues, features, bugs) rather than open files, with each agent getting its own branch and isolated execution environment via Git worktrees.
• GitHub Native Integration: Agents create branches, open pull requests, respond to code review comments, and manage issues—all without leaving Capy.
• Secure Execution Environments: Each task runs in its own sandboxed VM; secrets and credentials never leave the box, with SOC 2 compliance and zero data retention by default.
• Multiplayer Collaboration: Tag teammates in chats, resume and hand off tasks, and collaborate in real time across the same workspace.
• Enterprise Controls: SSO/SAML, audit logging, BYOK (bring your own API keys), custom VM configurations, and a 99.9% uptime SLA for teams shipping at scale.