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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Barndoor serves as a robust management layer for data and access, ensuring that artificial intelligence systems interact securely with enterprise data and infrastructure. Acting as a unified control center, it oversees AI agents and applications, empowering organizations to set policies, automatically enforce access rules, and retain comprehensive oversight of AI tool operations within business frameworks. Moving beyond traditional identity-based permissions, Barndoor employs context-aware governance, which allows administrators to dictate the allowed actions of an AI agent by considering variables such as the user in charge of the agent, the system being accessed, the nature of the data, and the task at hand. This system assesses each AI request in real time to apply policies before actions are undertaken, thereby thwarting unsafe or unauthorized operations from affecting internal systems or altering sensitive data. Furthermore, by integrating such a nuanced approach to governance, organizations can enhance both security and compliance, ultimately fostering a more trustworthy AI ecosystem.

Description

Preloop serves as an open-source control plane designed for AI agents that perform tangible actions. It integrates a multi-layered security approach featuring an MCP firewall for managing tool access, an AI model gateway that ensures cost-effectiveness, safety, and accountability, along with policy-as-code that incorporates human oversight, all while providing runtime session visibility and audit trails—all within a self-hosted environment. Given the rapid capabilities of AI agents to deploy code, modify infrastructure, manage financial transactions, access production data, and incur model costs almost instantaneously, Preloop empowers teams to regulate agent activities, monitor expenditures, and determine which actions necessitate human consent. It is compatible with a variety of tools such as OpenClaw, Hermes, Claude Code, Codex CLI, Cursor, Gemini CLI, Windsurf, Cline, OpenCode, and any agents that adhere to MCP standards. Additionally, access rules can evaluate not only the tool names but also arguments and context, utilizing CEL expressions to establish detailed conditions. Furthermore, teams have the flexibility to initiate with observability features and progressively introduce approval and denial protocols without the need for SDKs or extensive modifications to existing applications, thus streamlining the implementation process. This comprehensive approach ensures that organizations remain in control of their AI agents' functionalities and impacts.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Model Context Protocol (MCP) Yes 
Slack Yes 
ADP DataCloud Yes 
Active Directory Yes 
Asana Yes 
ChatGPT Yes 
Claude Yes 
Cursor No 
Gemini CLI No 
Mattermost No 
Notion Yes 
OpenAI Yes 
OpenClaw No 
OpenCode No 
Salesforce Yes 
SendGrid Yes 
Visual Studio Code Yes 
Windsurf Browser No 
YAML No 
Zoom Yes 

Integrations

Model Context Protocol (MCP) Yes 
Slack Yes 
ADP DataCloud No 
Active Directory No 
Asana No 
ChatGPT No 
Claude No 
Cursor Yes 
Gemini CLI Yes 
Mattermost Yes 
Notion No 
OpenAI No 
OpenClaw Yes 
OpenCode Yes 
Salesforce No 
SendGrid No 
Visual Studio Code No 
Windsurf Browser Yes 
YAML Yes 
Zoom No 

Pricing Details

$500 per month
Free Trial Yes 
Free Version Yes 

Pricing Details

$290 per month
Free Trial Yes 
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 Yes 
On-Premises Yes 
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) Yes 
In Person No 

Types of Training

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

Vendor Details

Company Name

Barndoor.ai

Founded

2024

Country

United States

Website

barndoor.ai/

Vendor Details

Company Name

Preloop

Country

United States

Website

preloop.ai/

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