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Average Ratings 0 Ratings

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features
design
support

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Write a Review

Description

Flint AI serves as a local-first and framework-agnostic AgentOps command-line interface designed to assist developers in assessing the reliability of AI agents prior to their deployment in production environments. By executing the command flintai scan, users can evaluate Python source code for various issues such as security flaws, misconfigurations, and inadequate safety measures, while also employing AI reasoning to filter out potential false positives. Additionally, the command flintai eval tests a running agent by sending both functional and adversarial prompts, grading its responses against over 35 established criteria, which encompass aspects like factual accuracy, adherence to instructions, and resilience against prompt injections and jailbreak attempts. Each evaluated agent is assigned a reliability score, with the results linked to the OWASP Agentic Security Initiative risk categories ASI01 through ASI10 and severity assessed via CVSS v4.0 metrics. Flint AI is compatible with several agent frameworks and SDKs, including Claude Agents SDK, LangChain, CrewAI, Anthropic SDK, OpenAI SDK, MCP servers, and AutoGen, ensuring a broad range of applications in the development ecosystem. Furthermore, this versatile tool not only enhances the security and quality of AI agents but also streamlines the evaluation process, ultimately fostering greater confidence in AI deployment.

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.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Model Context Protocol (MCP) Yes 
Anthropic Yes 
Antigravity CLI No 
AutoGen Yes 
Claude Agent SDK Yes 
Claude Code No 
CrewAI Yes 
Gemini CLI No 
GitHub No 
GitHub Copilot CLI No 
Hermes Agent No 
Kimi No 
LangChain Yes 
OpenAI Yes 
OpenAI Codex No 
OpenClaw No 
Pi Agent No 
Python Yes 
Slack No 
ZCode No 

Integrations

Model Context Protocol (MCP) Yes 
Anthropic No 
Antigravity CLI Yes 
AutoGen No 
Claude Agent SDK No 
Claude Code Yes 
CrewAI No 
Gemini CLI Yes 
GitHub Yes 
GitHub Copilot CLI Yes 
Hermes Agent Yes 
Kimi Yes 
LangChain No 
OpenAI No 
OpenAI Codex Yes 
OpenClaw Yes 
Pi Agent Yes 
Python No 
Slack Yes 
ZCode Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

$4.99 per month
Free Trial No 
Free Version Yes 

Deployment

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

Deployment

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

SandboxAQ

Country

United States

Website

www.flintai.dev/

Vendor Details

Company Name

HOL

Founded

2024

Country

United States

Website

hol.org/guard

Product Features

Product Features

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Alternatives

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