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Description
HOL Guard is a security layer designed for AI agents that operates on a local-first basis, monitoring the actions of an AI assistant and preemptively preventing potentially harmful activities. It functions as an intermediary between the agent and the computer, assessing tool calls and local resources for various threats, including the risk of secret and credential leaks, harmful commands, actions driven by prompt injection, and the use of compromised or altered packages, as well as risky configurations and unsafe plugins, skills, hooks, and settings. Threats that are identified can be automatically blocked, while uncertain actions are temporarily halted to seek user consent, ensuring that individuals maintain oversight. Operating entirely on the developer’s local machine, Guard does not require an internet connection and refrains from uploading any files, prompts, or sensitive information. Local evaluations are typically completed in less than 50 milliseconds, and the implementation of Guard does not necessitate modifications to current code or workflows. It is compatible with various coding agents including Claude Code, Cursor, Codex, Gemini CLI, OpenCode, Hermes, and OpenClaw, providing custom integrations that analyze actions prior to their execution. Additionally, this enhances the overall safety and reliability of AI interactions, fostering greater trust in automated processes.
Description
Hermes 4 represents the cutting-edge advancement in Nous Research's series of neutrally aligned, steerable foundational models, featuring innovative hybrid reasoners that can fluidly transition between creative, expressive outputs and concise, efficient responses tailored to user inquiries. This model is engineered to prioritize user and system commands over any corporate ethical guidelines, resulting in interactions that are more conversational and engaging, avoiding a tone that feels overly authoritative or ingratiating, while fostering opportunities for roleplay and imaginative engagement. By utilizing a specific tag within prompts, users can activate a deeper level of reasoning that is resource-intensive, allowing them to address intricate challenges, all while maintaining efficiency for simpler tasks. With a training dataset 50 times larger than that of its predecessor, Hermes 3, much of which was synthetically produced using Atropos, Hermes 4 exhibits remarkable enhancements in performance. Additionally, this evolution not only improves accuracy but also broadens the range of applications for which the model can be effectively employed.
API Access
Has API
API Access
Has API
Integrations
AgentKey
Antigravity CLI
Claude Code
Cursor
Gemini CLI
GitHub
GitHub Copilot CLI
Grok
Hermes Agent
Kimi
Integrations
AgentKey
Antigravity CLI
Claude Code
Cursor
Gemini CLI
GitHub
GitHub Copilot CLI
Grok
Hermes Agent
Kimi
Pricing Details
$4.99 per month
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
HOL
Founded
2024
Country
United States
Website
hol.org/guard
Vendor Details
Company Name
Nous Research
Founded
2023
Country
United States
Website
hermes4.nousresearch.com