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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

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

claude-mem serves as an offline-first cloud memory solution for AI agents, centered around an open source engine along with a cloud synchronization layer that connects agent memories universally through a single private MCP link. Its design ensures that coding agents and AI assistants do not begin from scratch in each session, regardless of the machine or editor in use. As agents work, claude-mem efficiently records notes that encapsulate decisions, solutions, obstacles, environmental insights, architectural choices, and a variety of structured observations within a temporal database. The CMEM Cloud then replicates this local memory through a private Model Context Protocol endpoint, enabling any compatible agent or integrated development environment to access and modify the same memory across various platforms such as Claude Code, Cursor, Windsurf, OpenCode, Codex CLI, Gemini CLI, and VS Code. Operating primarily in a local setting, it maintains functionality whether or not a network connection is available, and ensures that memory is kept in sync whenever cloud access is present. This innovative approach enhances the continuity of AI interactions, facilitating a smoother experience for developers and users alike.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Claude Code Yes 
Cursor Yes 
Gemini CLI Yes 
Model Context Protocol (MCP) Yes 
OpenCode Yes 
Antigravity CLI Yes 
CMEM Cloud No 
Devin Desktop No 
GitHub Yes 
GitHub Copilot CLI Yes 
Grok Yes 
Hermes Agent Yes 
JSON No 
Kimi Yes 
OpenAI Codex Yes 
OpenClaw Yes 
Pi Agent Yes 
Slack Yes 
Visual Studio Code No 
ZCode Yes 

Integrations

Claude Code Yes 
Cursor Yes 
Gemini CLI Yes 
Model Context Protocol (MCP) Yes 
OpenCode Yes 
Antigravity CLI No 
CMEM Cloud Yes 
Devin Desktop Yes 
GitHub No 
GitHub Copilot CLI No 
Grok No 
Hermes Agent No 
JSON Yes 
Kimi No 
OpenAI Codex No 
OpenClaw No 
Pi Agent No 
Slack No 
Visual Studio Code Yes 
ZCode No 

Pricing Details

$4.99 per month
Free Trial No 
Free Version Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

HOL

Founded

2024

Country

United States

Website

hol.org/guard

Vendor Details

Company Name

cmem.ai

Country

United States

Website

cmem.ai/

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Product Features

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