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HOL Guard VS Digraph.dev

Compare HOL Guard VS Digraph.dev and see what are their differences

HOL Guard

The 1st open-source antivirus for AI agents

Rating
0 reviews
Pricing
Open source Freemium Free trial
Alternatives Is it good?
Digraph.dev

AI marketing platform for brands.

No screenshot yet
Rating
0 reviews
Pricing
Freemium Free trial $99 / Monthly
Alternatives Is it good?
Alterable
Real-time, open-time content for email: countdown timers, dynamic images, live product picks, geo-targeted maps, one-click surveys, and scratch-card rewards. No code, no ESP integration, rendered fresh every time someone opens. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

AI popularity
100% vs 0%
alternatives listed
23 vs 1

Base details

Website, pricing, platforms and company facts side by side.

HOL Guard
Digraph.dev
Website hol.org digraph.dev
Pricing
Open source Freemium Free trial Official pricing
Freemium Free trial $99 / Monthly Official pricing
Company Startup from the United States · 1 - 9 employees · 2026 Startup from the United States · 1 - 9 employees
Listed in
Developer Tools AI Coding Code Autocomplete +1
SaaS Market Research Marketing Platform Marketing +1

About HOL Guard and Digraph.dev

In their own words, as submitted to SaaSHub.

HOL Guard
Digraph.dev

HOL Guard is an open-source, local-first runtime security layer for AI agents and automation. It sits between any AI harness and the tools it wants to run, pausing risky package installs, secret reads, shell commands, and MCP changes for review before execution. Guard supports Codex, Claude Code,...

Read more about HOL Guard

Digraph is an AI marketing platform for brands. It brings together AI research, market intelligence, website and campaign analysis, specialist AI workflows, and marketer-led guidance to help teams understand what shapes buyer decisions and what to do next. Teams can measure how AI systems...

Read more about Digraph.dev

Features and specs

What each product offers, as listed by its team.

HOL Guard 1 feature
Digraph.dev 5 features
  • Insufficient information available
    I don't have verified or reliable information about a specific product called 'HOL Guard' at hol.org/guard. I cannot access external URLs or browse the internet to verify current details about this specific service.
  • Developer-focused positioning
    The .dev domain and branding suggest a tool built for developers and technical teams, so its workflows are likely to fit engineering needs better than a generic product. I could not browse the site, so this is inferred from its positioning rather than confirmed.
  • Graph-based approach
    The name 'Digraph' (directed graph) suggests it models information as connected nodes and relationships. That kind of structure can make dependencies, ideas, or decisions easier to see than flat lists or documents. Confirm how the product actually uses this.
  • Modern, minimal presentation
    Newer developer tools tend to have lean interfaces and a focused feature set, which can mean a short learning curve and less clutter. I could not verify this for Digraph, so check it with a trial.
  • Potential for better organization and clarity
    If the tool works as the name suggests, visualizing relationships between items can improve shared understanding across a team. The benefit depends on how well the product is executed.
  • Early-stage responsiveness
    Smaller or newer products often respond quickly to user feedback and let users influence the roadmap. This is a general tendency and has not been verified for Digraph.

Videos

Walkthroughs and reviews on video.

HOL Guard 1 video + Add
Digraph.dev 0 videos + Add

HOL Guard: Firewall for AI Agents

No Digraph.dev videos yet. You could help us improve this page by suggesting one.

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
HOL Guard
Digraph.dev
100% 100%
AI
0% 0%
0% 0%
Marketing
100% 100%
100% 100%
Developer Tools
0% 0%
0% 0%
Marketing Platform
100% 100%

Questions & Answers

As answered by people managing HOL Guard and Digraph.dev.

What makes your product unique?

HOL Guard's answer

HOL Guard is an open-source, local-first security layer for AI coding agents. Instead of only scanning prompts or analyzing activity after the fact, Guard can enforce security policies at the point where an agent attempts to interact with the developer's machine.

  • Pre-action enforcement: Guard can stop risky file access, commands, tools and package activity before they execute.
  • Local-first by design: Security decisions can happen on the user's machine without requiring source code, prompts or secrets to be sent to a third-party service.
  • Built for coding agents: Supports tools including Claude Code, OpenAI Codex, Cursor, Gemini CLI, OpenCode, Hermes and OpenClaw.
  • Broader than prompt filtering: Protects the filesystem, secrets, MCP servers, tools, agent extensions and software supply chain.
  • Open source: Developers and security teams can inspect how enforcement works rather than relying on a closed security black box.
  • Local + enterprise: Individual developers can use Guard locally, while organizations can add centralized policy, evidence and security management through Guard Cloud.

Why should a person choose your product over its competitors?

HOL Guard's answer

HOL Guard is designed for people who want to prevent dangerous AI-agent actions, not simply detect them.

Many AI security products focus on prompt filtering, cloud-based inspection, application-level guardrails or monitoring. HOL Guard places enforcement closer to the actual developer environment, where coding agents interact with files, credentials, terminals, tools, MCP servers and package managers.

Key reasons to choose HOL Guard include:

  • Blocks actions before execution instead of relying only on alerts or post-event analysis.
  • Runs locally, allowing sensitive code and prompts to remain on the user's machine.
  • Protects multiple attack surfaces including secrets, commands, MCP tools, plugins, skills and package installs.
  • Works across major coding agents rather than requiring developers to standardize on a single AI assistant.
  • Open-source and auditable, which is especially valuable for security-sensitive development environments.
  • Easy to adopt individually and expand organizationally, allowing developers to start locally while security teams can introduce shared policies and visibility when needed.

HOL Guard is particularly compelling for organizations that want developers to benefit from powerful autonomous coding agents without giving those agents unrestricted access to developer endpoints.

How would you describe the primary audience of your product?

HOL Guard's answer

HOL Guard is primarily built for developers and organizations using AI coding agents with access to real development environments.

Its core audiences include:

  • Software engineers using Claude Code, Codex, Cursor, Gemini CLI, OpenCode and similar agentic development tools.
  • Solo developers and AI-native builders who give coding agents significant autonomy on their machines.
  • Engineering teams adopting AI agents across repositories and development workflows.
  • Security and AppSec teams responsible for controlling how AI agents access source code, secrets, tools and infrastructure.
  • Enterprises that need centralized policy, evidence and governance around employee use of coding agents.
  • Open-source maintainers concerned about malicious packages, plugins, MCP servers, skills and software supply-chain attacks.

Guard is most valuable when an AI agent can do more than generate text and has permission to read files, execute commands, install software or call external tools.

Which are the primary technologies used for building your product?

HOL Guard's answer

HOL Guard is primarily built using:

  • Python for its core CLI, runtime enforcement, policy and security engine.
  • MCP (Model Context Protocol) integrations for monitoring and securing agent-to-tool interactions.
  • Local daemon architecture for continuous endpoint protection and runtime enforcement.
  • Cryptographic signing and verification for trusted security evidence and policy artifacts.
  • Operating-system and shell integrations for controlling agent commands, filesystem access and package-management activity.
  • AI-assisted security classification alongside deterministic security policies for evaluating potentially dangerous actions.
  • Open-source security scanners, including integrations with Cisco's AI skill and MCP scanning tooling.
  • Web technologies for the local Guard dashboard and Guard Cloud management experience.

The core hol-guard package is written for Python 3.10+ and uses technologies including cryptography, MCP, LiteLLM, Cisco AI Skill Scanner and standard Python security and packaging libraries.

User comments

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