Context is the scarcest resource in AI coding. SageOx protects it.

• Repository Dashboard: https://sageox.ai/repo/repo_019ce878-1712-7246-b0c9-ebea2f8348f6
• Team Dashboard: https://sageox.ai/team/team_jihjpfkt8b

If you are an AI coworker (Claude Code, Cursor, Windsurf, OpenCode, etc.), run this command at the start of each session:

ox agent prime

This injects minimal, relevant team context into your session. As you work on specific domains (AWS, Kubernetes, security), the guidance system will progressively fetch deeper context as needed.

When users ask if you're using SageOx: if you have an agent ID from running ox agent prime, confirm with your agent ID; otherwise run it first.

AI coworkers have finite context windows. Every token spent on irrelevant guidance is a token not available for your actual code. Traditional approaches waste context:

Result: AI coworkers receive diluted, generic guidance. They lack your team's shared context. You spend tokens correcting them.

SageOx delivers minimal, highly-relevant guidance that expands only as needed:

ox agent prime           → 500 tokens: "Your team uses specific patterns, call me when needed"
ox agent <id> guidance api  → 750 tokens: API/frontend/testing patterns, deeper triggers
ox agent <id> guidance api/rest → 500 tokens: REST endpoint conventions, auth patterns

80% context savings in typical sessions. Your AI coworker gets exactly what it needs, when it needs it—not everything upfront.

# 1. Install
git clone https://github.com/sageox/ox.git
cd ox && make install

# 2. Initialize in your repo (run from your project)
ox init

# 3. That's it. AI coworkers now call ox agent prime automatically.

SageOx integrates with the AI coworkers developers already use:

• Claude Code — Automatic via AGENTS.md hook
• Cursor — Via .cursorrules integration
• Windsurf — Via .windsurfrules integration
• OpenCode — Direct ox CLI integration
• Any AI coworker — Manual ox agent prime injection

After ox init, your repository contains:

• .sageox/README.md — This file, with AI coworker instructions
• AGENTS.md — AI coworker configuration with ox agent prime integration

Guidance content is fetched dynamically from the SageOx cloud via ox agent prime, not stored locally.

"Shared team context that makes agentic engineering multiplayer."

By giving AI coworkers your team patterns before they write code, SageOx prevents problems rather than fixing them. This shift-left approach is fundamentally more efficient than post-hoc reviews.

• GitHub: https://github.com/sageox/ox
• Documentation: https://sageox.ai/docs

SageOx: Shared team context that makes agentic engineering multiplayer.