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canopy
Open-source workspace protocol for AI agent systems. If OSA / Claude Code is the employee, Canopy is the office.
212stars
55forks
Svelte
Quality signals
StaleNo testsNo CIThin docsNo licensePopular
AI summary
Auto-generated overview of what this skill does and when to reach for it.
Open-source workspace protocol for building, testing, and running AI agent systems in a shared environment.
Use this when
- debugging multi-agent workflows in real time
- testing agent interactions before deployment
- collaborating on agent-based projects
- prototyping agent systems with shared tools
- managing agent permissions and resources
Don't use when
- building single-agent scripts without coordination
- running agents in isolated containers
- needing a production-grade agent orchestrator
Capabilities
- shared workspace for multiple AI agents
- real-time debugging and logging
- agent permission and resource management
- tool and API integration for agents
- workspace state persistence
- multi-agent coordination protocols
InstallSKILLInstall as a Claude Code skill
Universal installANY TOOL
$ npx skillcity@latest Miosa-osa/canopyAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
# Install into ~/.claude/skills/ mkdir -p ~/.claude/skills/canopy curl -fsSL https://raw.githubusercontent.com/Miosa-osa/canopy/main/SKILL.md -o ~/.claude/skills/canopy/SKILL.md
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Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
canopy — sandboxAI sandbox
Pick a quick prompt below or type your own — watch the agent execute this skill step by step.
guest@skillcity:~$Try a prompt