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hermes - 💡(How to fix) Fix Integration: Ombre audit and security layer for Hermes Agent [1 participants]

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NousResearch/hermes-agent#17431•Fetched 2026-04-30 06:47:37
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Hermes Agent's persistent memory and learning loop is powerful. Adding Ombre underneath creates a complete production-ready stack:

  • Every Hermes decision gets a tamper-proof audit record
  • Prompt injection blocked before reaching the model
  • Memory encrypted at rest automatically
  • Hallucination detection on every response
  • Cost tracking and budget enforcement
  • EU AI Act compliance exports

Ombre's memory agent also complements Hermes's learning loop — persistent encrypted context that survives session resets.

github.com/pypl0/Ombre

Would love to explore an official integration.

extent analysis

TL;DR

Explore the Ombre library and its documentation to understand how to integrate it with Hermes for enhanced security and compliance features.

Guidance

  • Review the Ombre repository on GitHub (github.com/pypl0/Ombre) to understand its capabilities and integration requirements.
  • Investigate how Ombre's memory agent can complement Hermes's learning loop for persistent encrypted context.
  • Consider reaching out to the Ombre developer or community for guidance on official integration with Hermes.

Notes

The issue lacks technical details about the current implementation and specific integration challenges, so a more detailed solution cannot be provided.

Recommendation

Apply workaround: Explore the Ombre library and its documentation to understand how to integrate it with Hermes, as an official integration is not currently available.

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#logging issue#authentication issue#prompt issue#agent setup#task chaining

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hermes - 💡(How to fix) Fix Integration: Ombre audit and security layer for Hermes Agent [1 participants]