Thursday, January 22, 2026

Show HN: Introducing Faramesh โ€“ A Deterministic Framework for Stochastic Autonomous AI Agents

๐Ÿš€ Unlocking AI Safety with Faramesh ๐Ÿš€

For those deep into AI and tech, the journey has been wild. I’ve watched LLM agents “vibe-code” their way into production disasters, raising serious questions about the security of system prompts. This isnโ€™t just a minor issueโ€”itโ€™s a wake-up call!

๐Ÿ”’ Enter Faramesh:

  • I created Faramesh to establish a hard, cryptographic boundary between an AI agent’s “brain” and our infrastructure.
  • It intercepts tool-calls and ensures that actions not aligned with your policy simply donโ€™t exist.

๐Ÿ› ๏ธ The Challenge:

  • LLMs can be messy; I tackled this with a normalization engine to ensure consistency in outputs.

๐ŸŒŸ Engage with My Work:

  • My code is open-source and ready for exploration: Faramesh on GitHub.
  • For theory enthusiasts, check out my recent paper on the project: Read Here.

๐Ÿ”— Join the conversation and letโ€™s refine this approach together! Share your thoughts below!

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