Hermes-Crew Hybrid: A Hybrid Architecture for Secure Multi-Agent AI Workflows
6.8 relevance
Score Breakdown
technical depth 8
novelty 7
actionability 6
community 3
strategic 6
personal 9
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Hybrid multi-agent AI architecture, directly relevant to agent orchestration interests.
Summary
Hermes-Crew Hybrid combines a central orchestrator (Hermes) with temporary CrewAI micro-crews, protected by a three-layer security pipeline: pre-execution MCP tool auditing, runtime agent output filtering via normalization-pattern matching-embeddings in under 1ms, and a pre-commit hook that rejects malicious code using CrewAI + Ollama local. The system is local-first, portable via .env configuration, multi-model through LiteLLM (supporting Ollama, OpenAI, Anthropic, Gemini, Groq, OpenRouter), and integrates with Obsidian for structured reports.