AgentIndex icon
AgentIndex
helm-ai-kernel logo
helm-ai-kernel
★ 60
vs
assay logo
assay
★ 13

helm-ai-kernel vs assay

helm-ai-kernel: HELM AI Kernel acts as a fail-closed execution firewall, intercepting AI agent requests to enforce default-deny policies and quarantine unknown tools. It provides verifiable evidence through signed receipts and EvidencePacks for audit and tamper checks, ensuring secure and governed AI operations.; assay: Assay provides an open, recomputable evidence profile for privileged AI agent tool actions, enforcing policies deterministically and fail-closed. It records decisions, observations, and unproven claims into tamper-evident bundles for offline verification and security auditing.

01

TL;DR

helm-ai-kernel logo
helm-ai-kernelSecurity & Safety · ★ 60

Governing and securing AI agent interactions with external systems and infrastructure.

Read helm-ai-kernel full review →
assay logo
assaySecurity & Safety · ★ 13

Generating small, reviewable CI artifacts for bounded auditability from existing evaluation outputs, runtime decisions, or MCP tool-call tests.

Read assay full review →
02

Side-by-Side Comparison

Field
helm-ai-kernel logohelm-ai-kernel
assay logoassay
Category
Security & Safety
Security & Safety
Stars
★ 60
★ 13
License
Apache-2.0
MIT
Install Command
brew install mindburnlabs/tap/helm-ai-kernel
curl -fsSL https://getassay.dev/install.sh | sh
Updated
1d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agent Security, Execution Firewall, Policy Enforcement
AI Agent Security, Tool Call Enforcement, Evidence Auditing
03

Features

helm-ai-kernel logohelm-ai-kernel
01Enforces fail-closed, default-deny execution policies for AI agent tool calls.
02Provides a Multi-tool Call Protocol (MCP) wrapper to quarantine unknown tools before execution.
03Generates signed receipts and offline-verifiable EvidencePacks for audit and tamper-proofing of agent decisions.
04Offers an OpenAI-compatible proxy for integrating existing AI clients with policy enforcement.
05Supports multiple language SDKs (Go, Python, TypeScript, Rust, Java) for developer integration.
assay logoassay
01Deterministic, fail-closed policy enforcement for tool calls, including optional kernel-level enforcement on Linux.
02Generates offline-verifiable, tamper-evident evidence bundles for audit and replay, integrated with CI without a hosted backend.
03Classifies claims by their trust basis (verified, self_reported, inferred, absent) to ensure honesty and prevent claims from exceeding observed facts.
04Policy gate (`assay mcp wrap`) for pre-execution allow/deny decisions on privileged tool calls, with clear reasons.
05Integrates with CI/CD pipelines via GitHub Actions and SARIF, enabling policy gates on pull requests and security-tab integration.
04

Use Cases

helm-ai-kernel logohelm-ai-kernel
↳Governing and securing AI agent interactions with external systems and infrastructure.
↳Auditing and verifying the decisions (ALLOW, DENY, ESCALATE) made by AI agents for compliance.
↳Protecting against unauthorized or risky actions by AI agents through execution firewalls.
↳Integrating a security layer into existing OpenAI-compatible AI client workflows.
assay logoassay
↳Generating small, reviewable CI artifacts for bounded auditability from existing evaluation outputs, runtime decisions, or MCP tool-call tests.
↳Processing Promptfoo JSONL output from CI evaluations to produce evidence receipts and verified bundles.
↳Auditing and enforcing policies on MCP (Multi-Modal Command Protocol) tool calls, providing an allow/deny audit trail and observed-behavior evidence.
↳Implementing GitHub PR gates based on Trust Basis diffs and policy status, with SARIF/JUnit-ready output.
↳Generating inventory receipts and verified bundles from CycloneDX ML-BOM model components for model inventory and provenance.
FAQ

FAQ

What is the difference between helm-ai-kernel and assay?
Both helm-ai-kernel and assay are in the Security & Safety category. helm-ai-kernel has 60 stars, while assay has 13 stars.
Which is better, helm-ai-kernel or assay?
The best choice depends on your use case. Choose helm-ai-kernel if Governing and securing AI agent interactions with external systems and infrastructure., and assay if Generating small, reviewable CI artifacts for bounded auditability from existing evaluation outputs, runtime decisions, or MCP tool-call tests..
Is helm-ai-kernel free or open source?
Yes, helm-ai-kernel is open source on GitHub (Apache-2.0).
Is assay free or open source?
Yes, assay is open source on GitHub (MIT).
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