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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Lanes is a desktop application that prioritizes local-first functionality, enabling developers to effectively manage and engage with AI coding agents in a secure setting, ensuring that all operations remain confined to the user's machine. This approach is founded on the belief that critical development information, including source code, terminal interactions, prompts, AI outputs, and project settings, must not be transmitted outside the local environment, thus safeguarding user privacy and providing complete control. Lanes seamlessly integrates with various third-party AI coding agents and command-line interface tools, such as Codex, Claude Code, or Gemini CLI, while avoiding any intermediary role, allowing all interactions to occur directly between the user's device and those services. Such a framework empowers developers to leverage advanced AI capabilities without compromising on data security or ownership rights. Additionally, Lanes features straightforward account management through easy authentication processes and gathers only a minimal amount of anonymous telemetry information, like feature usage, session lengths, and crash reports, to enhance overall performance. Ultimately, this gives developers the tools they need while ensuring that their sensitive data remains protected and private.

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 No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Claude Code Yes 
Codex CLI Yes 
Gemini CLI Yes 
Amazon Bedrock No 
Cline No 
Cursor No 
Git Yes 
Hermes No 
JSON Yes 
Mattermost No 
Model Context Protocol (MCP) No 
OpenAI Codex Yes 
OpenClaw No 
OpenCode No 
Slack No 
Windsurf Browser No 
YAML No 

Integrations

Claude Code Yes 
Codex CLI Yes 
Gemini CLI Yes 
Amazon Bedrock Yes 
Cline Yes 
Cursor Yes 
Git No 
Hermes Yes 
JSON No 
Mattermost Yes 
Model Context Protocol (MCP) Yes 
OpenAI Codex No 
OpenClaw Yes 
OpenCode Yes 
Slack Yes 
Windsurf Browser Yes 
YAML Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$290 per month
Free Trial Yes 
Free Version Yes 

Deployment

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

Lanes

Country

United States

Website

lanes.sh/

Vendor Details

Company Name

Preloop

Country

United States

Website

preloop.ai/

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