AgentIndex icon
AgentIndex
heddle logo
heddle
★ 14
vs
helm-ai-kernel logo
helm-ai-kernel
★ 60

heddle vs helm-ai-kernel

heddle: Heddle provides a policy-and-trust layer for Model Context Protocol (MCP) tool servers, enabling secure and declarative exposure of APIs as AI agent tools. It offers built-in security features such as trust enforcement, credential brokering, and tamper-evident audit logging, alongside containerized sandboxing and AI-powered configuration generation.; 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.

01

TL;DR

heddle logo
heddleSecurity & Safety · ★ 14

Securely Exposing APIs to LLMs

Read heddle full review →
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 →
02

Side-by-Side Comparison

Field
heddle logoheddle
helm-ai-kernel logohelm-ai-kernel
Category
Security & Safety
Security & Safety
Stars
★ 14
★ 60
License
MIT
Apache-2.0
Install Command
git clone https://github.com/goweft/heddle.git && cd heddle && python -m venv venv && source venv/bin/activate && pip install -e ".[dev]"
brew install mindburnlabs/tap/helm-ai-kernel
Updated
1mo ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agent Security, Policy Enforcement, Declarative Configuration
AI Agent Security, Execution Firewall, Policy Enforcement
03

Features

heddle logoheddle
01Declarative YAML Tool Configuration
02Comprehensive Security Controls
03AI-Powered Configuration Generation
04Containerized Sandboxing
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.
04

Use Cases

heddle logoheddle
↳Securely Exposing APIs to LLMs
↳Building AI Agent Tool Meshes
↳Automating Daily Operations with AI
↳Managing GPU Resources for LLMs
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.
FAQ

FAQ

What is the difference between heddle and helm-ai-kernel?
Both heddle and helm-ai-kernel are in the Security & Safety category. heddle has 14 stars, while helm-ai-kernel has 60 stars.
Which is better, heddle or helm-ai-kernel?
The best choice depends on your use case. Choose heddle if Securely Exposing APIs to LLMs, and helm-ai-kernel if Governing and securing AI agent interactions with external systems and infrastructure..
Is heddle free or open source?
Yes, heddle is open source on GitHub (MIT).
Is helm-ai-kernel free or open source?
Yes, helm-ai-kernel is open source on GitHub (Apache-2.0).
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