Add AI agent system design for autonomous enterprise app generation

[Copilot]

Design specification for a multi-agent system that generates production-ready ObjectStack applications from natural language requirements in <5 minutes with 95%+ protocol compliance.

Architecture

7-agent hierarchy: Master Orchestrator coordinates Schema (ObjectQL), UI (ObjectUI), Business Logic (ObjectOS), API, Validation, and Documentation agents. Each agent specializes in one protocol layer with dedicated tool execution and validation.

RAG knowledge system: Qdrant vector store indexes all protocol specs, examples, and best practices. Agents retrieve context via semantic search (OpenAI embeddings, 1536d) before generation. Auto-updates from successful patterns.

Self-iteration: Feedback loop extracts patterns from generations, re-indexes knowledge base, improving accuracy 5%/month without manual intervention.

Agent Specifications

Each agent implements the Agent protocol from packages/spec/src/ai/agent.zod.ts:

export const SchemaAgent: Agent = {
  name: 'objectstack_schema_architect',
  role: 'Senior Data Architect specializing in ObjectQL',
  model: {
    provider: 'openai',
    model: 'gpt-4-turbo',
    temperature: 0.2,
  },
  tools: [
    { type: 'action', name: 'create_object' },
    { type: 'action', name: 'add_field' },
    { type: 'action', name: 'create_relationship' },
  ],
  knowledge: {
    topics: ['objectql', 'data_modeling'],
    indexes: ['objectql_docs', 'schema_examples'],
    searchDepth: 'deep',
  },
};

Implementation Plan

10-week roadmap across 5 phases:

• P1 (W1-2): Core runtime, tool executor, Qdrant indexing
• P2 (W3-4): 4 specialist agents (Schema, UI, Logic, API)
• P3 (W5-6): Orchestrator, delegation, integration pipeline
• P4 (W7-8): Pattern extraction, KB auto-update, iteration engine
• P5 (W9-10): E2E tests, benchmarks, security hardening

Performance Targets

Metric	Target
CRM generation	<5 min (vs 6 weeks manual)
Protocol compliance	95%+ (Zod validation)
Test coverage	80%+ (auto-generated)
Security vulnerabilities	0 (CodeQL scan)

Documentation Structure

docs/
├── AI_AGENT_DESIGN_PLAN.md        # Complete spec (1375 lines)
├── EXECUTIVE_SUMMARY.md           # Business case
├── QUICK_START.md                 # 5-min intro
├── README.md                      # Navigation hub
└── implementation/
    └── IMPLEMENTATION_GUIDE.md    # Dev setup

Bilingual (EN/CN) throughout. All agent specs follow ObjectStack conventions (snake_case data, camelCase config, Zod-first validation).

Original prompt

我想开发一个agent，让他基于 @objectstack/spec 中规范去自我迭代开发企业管理软件。帮编写完整的设计方案和开发计划。

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Project	Deployment	Actions	Updated (UTC)
spec	Ready	Preview, Comment	Jan 31, 2026 5:46pm