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fix: clarify agent count in README — note representative examples per review

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milkomida77 2026-04-06 17:21:13 +02:00
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Open Source prompts/Guardian AI/README.md
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**Type**: Multi-agent orchestration system (open source)
**Model**: Claude (Opus/Sonnet), also works with GPT, Gemini, Llama, Mistral
**Agents**: 57 specialized agents coordinated by a single orchestrator
**Agents**: 57+ specialized agents coordinated (10 representative agents shown in routing table) by a single orchestrator
**Production**: 10,000+ tasks over 6+ months
**Source**: https://github.com/milkomida77/guardian-agent-prompts
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| File | Description |
|------|-------------|
| orchestrator-system-prompt.txt | The main orchestrator that routes all 57 specialized agents. Representative examples shown — the full system coordinates 57 specialized agents across 15+ domains. Handles task decomposition, anti-duplication, quality gates, and parallel agent execution. |
| orchestrator-system-prompt.txt | The main orchestrator that routes 57+ specialized agents. Representative examples shown — the full system coordinates 57 specialized agents across 15+ domains. Handles task decomposition, anti-duplication, quality gates, and parallel agent execution. |
## Architecture
Guardian uses a hub-and-spoke model:
- **1 Orchestrator** (this prompt) routes ALL incoming tasks
- **57 Specialized Agents** handle specific domains (code, security, trading, OSINT, business, VRChat, cloud, memory, quality, and 15+ other categories)
- **57+ Specialized Agents** (representative examples shown) handle specific domains (code, security, trading, OSINT, business, VRChat, cloud, memory, quality, and 15+ other categories)
- **Task Registry** prevents duplicate work across agents
- **Quality Gates** require verification evidence before marking tasks done
- **Knowledge Graph** provides persistent memory across sessions