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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

Ml.ai serves as an AI coding assistant that follows your code wherever it may be. You can utilize it within environments like VS Code and Cursor, through its dedicated desktop application without the need for an IDE, by accessing it via the terminal, or as a pull request reviewer that evaluates each submission. Every interface operates using the same underlying technology, maintaining consistent settings and a unified memory of your repository. Unlike many coding agents that rely on a single costly frontier model for every action, Ml.ai assigns specific tasks to specialized agents, selecting the most cost-effective model that meets your desired quality standards, often resulting in a reduction of model expenses by 30 to 45% for similar tasks. Its Explore feature reads and interprets the codebase, while Architect and Plan organize the project files, sequence tasks, and assess potential trade-offs. Only the General agent has the authority to make code alterations, ensuring that every change or command is subject to your explicit permission to Allow or Deny. The PR Reviewer not only provides a summary of each pull request but also adds detailed comments at the line level and executes builds and tests before suggesting either approval or requests for changes, without the ability to merge independently. Additionally, Ml.ai offers reusable skills, supports background operations, and includes MCP server functionality, enhancing its overall utility.

Description

Navarch serves as the command interface for teams utilizing AI coding agents, enabling crews to strategize, develop, evaluate, ensure quality, and deploy actual software simultaneously across multiple repositories. While you manage priorities, allocate budgets, and establish approval checkpoints, each task is recorded on an append-only ledger that includes its pull request, before-and-after screenshots, and a separate review, allowing you to assess the work based on concrete evidence rather than sifting through diffs. Your repositories remain hosted on GitHub, and your agents can operate on your own infrastructure or on ours, providing flexibility in your development environment. This streamlined process enhances collaboration and accountability within development teams.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

No images available

Screenshots View All

No images available

Integrations

Cursor Yes 
Visual Studio Code Yes 

Integrations

Cursor No 
Visual Studio Code No 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version 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 

Deployment

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

Customer Support

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

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Pixis.ai

Country

United States

Website

ml.ai/

Vendor Details

Company Name

SagentLab

Website

sagentlab.com

Product Features

Product Features

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