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Agentic Engineering Documentation

Building the future of AI-driven software development and enterprise operations


🎯 Welcome

This documentation covers two major initiatives in our Agentic Engineering journey:

1. Large Scale Agentic Engineering

Goal: Consolidate 400+ repositories (~39GB) into an AI-friendly mono-repo, enabling AI to autonomously design, develop, test, deploy, and iterate.

Key Insights:

  • 80% of team boundaries are for management convenience, not technical necessity
  • AI needs global context to achieve scale effects
  • This is a production relationship revolution, not just tool optimization

Status: ✅ Small-scale validation complete (10 repos), ready for scale to 400 repos

📖 Start reading →


2. 1000 Agent Platform

Vision: “1000 cages, 1000 AIs, producing high-value outputs”

A large-scale Agentic operating system for managing 1000 AI Agents working in parallel across four scenarios:

ApplicationDescriptionTarget
1000 Agent SpaceParallel production incident resolution70% auto-resolution, MTTR <10min
1000 Agent EngineeringAutonomous mono-repo convergence (400→1)AI-driven code consolidation
1000 Agent CorpUnitAI-driven corporate brain (Finance, HR, Legal, etc.)Real-time business insights
1000 Invested AI CompanyPortfolio management for 1000 companiesAutomated due diligence & monitoring

Status: 📐 Design complete, ready for MVP implementation

📖 Start reading →


📚 Documentation Structure

agentic-docs/
├── Part I: Large Scale Agentic Engineering
│   ├── Strategic vision & insights
│   ├── Mono-repo consolidation plan
│   ├── RD-OS architecture
│   └── Implementation details
│
├── Part II: 1000 Agent Platform
│   ├── System architecture
│   ├── Frontend design
│   ├── Cage (Agent container) design
│   └── Four application scenarios
│
├── Part III: Skills & Tools
│   └── Reusable skills for OpenClaw
│
└── Appendix
    └── Glossary, FAQ, references

🚀 Quick Start

For Leadership

Start with Strategic Summary to understand the vision and business impact.

For Architects

Read RD-OS Architecture and 1000 Agent Platform Architecture.

For Engineers

For Product Managers


  • OpenClaw: https://openclaw.ai
  • Documentation: https://docs.openclaw.ai
  • GitHub: https://github.com/openclaw/openclaw
  • Community: https://discord.gg/clawd

📞 Contact

  • Project Home: https://1000-agent-platform.agents-dev.com
  • Email: team@agents-dev.com
  • Discord: https://discord.gg/1000agents

Built with ❤️ by the Agentic Engineering Team

Last updated: 2026-03-01