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EPI (Evidence Packaged Infrastructure) packages AI execution as evidence.

27 starsPython

EPI – Cryptographically verifiable execution artifacts for AI agents

by afridi_epilabs·Feb 12, 2026·1 point·0 comments

AI Analysis

●●SolidNiche GemWizardry
The Take

Turns an agent run into a verifiable .epi bundle you can hand to auditors or replay locally for debugging. Concrete engineering choices stand out — crash-safe SQLite WAL storage, Ed25519 sealing, and an embedded viewer — though wider integrations (Kubernetes/CICD hooks, verifier tooling) and stronger ecosystem docs will be needed for real adoption.

Category
Target Audience

ML infra engineers, platform teams running AI agents, security/compliance engineers

Post Description

Hi HN — I’m the founder of EPI.

EPI is a portable, cryptographically sealed artifact format (.epi) for AI agent execution.

Problem: When AI systems run in production and something goes wrong, there’s no tamper-proof way to prove exactly what happened.

EPI records execution steps, inputs/outputs, metadata, and signatures into a verifiable bundle that can be replayed and audited.

It’s open-source and installable via pip.

I’d love feedback from: – ML infra engineers – Platform teams running AI agents – Security engineers

Happy to answer any technical questions.

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