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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Kandev serves as an open-source development platform designed to facilitate the coordination of AI coding agents alongside software tasks. This workspace unifies various functionalities, including task planning, agent sessions, repository activities, code modifications, and reviews, allowing developers to execute agents simultaneously, manage workflows with Kanban boards, examine differences in code, and assess changes prior to initiating or merging pull requests. Additionally, users can integrate their preferred coding-agent CLIs or ACP agents and interact with repositories via platforms like GitHub, GitLab, Azure DevOps, Jira, Linear, and Sentry. Kandev can be operated locally or on user-managed infrastructure, offering deployment options such as CLI, desktop, Docker, and service models. Executors available within the platform encompass local environments, isolated worktrees, Docker, SSH, and remote setups, while task coordination is facilitated through MCP, webhooks, and automated scheduling. Tailored for software developers and engineering teams, Kandev aims to create a collaborative workspace that enhances agent-assisted coding and streamlines the code review process. By centralizing these tools and processes, Kandev promotes efficiency and productivity within development teams.

Description

Maestro is an innovative desktop application designed specifically for developers aiming to manage multiple AI coding agents across various projects seamlessly. This platform consolidates agent dialogues, terminal sessions, project documents, Git functionalities, and task management workflows into a cohesive keyboard-centric environment. Users have the capability to execute agents concurrently with individualized histories and contexts, engage in collaborative discussions via group chats, and utilize features like Auto Run or playbooks to efficiently tackle task lists and broader objectives. The integration of Git worktrees allows for simultaneous work on distinct branches, while event-driven Cue pipelines can initiate agent activities triggered by events such as file modifications, timers, GitHub interactions, or the completion of previous tasks. Furthermore, a command-line interface enables headless operation and scripting capabilities, enhancing flexibility. Maestro also facilitates browser-based remote access through smartphones and supports SSH execution for tasks on remote servers, ensuring developers can work effectively from anywhere. The application is compatible with various AI coding-agent command-line tools that users need to install and authenticate independently, allowing for a tailored coding experience.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

No images available

Integrations

Claude Code Yes 
GitHub Yes 
Model Context Protocol (MCP) Yes 
OpenCode Yes 
Azure DevOps Yes 
Codex CLI Yes 
Cursor Yes 
Factory Droid No 
Gemini CLI Yes 
GitHub Copilot Yes 
GitHub Copilot CLI No 
GitLab Yes 
Jira Yes 
Linear Yes 
OpenAI Codex No 
Sentry Yes 

Integrations

Claude Code Yes 
GitHub Yes 
Model Context Protocol (MCP) Yes 
OpenCode Yes 
Azure DevOps No 
Codex CLI No 
Cursor No 
Factory Droid Yes 
Gemini CLI No 
GitHub Copilot No 
GitHub Copilot CLI Yes 
GitLab No 
Jira No 
Linear No 
OpenAI Codex Yes 
Sentry No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$0
The desktop application is free and open source under AGPL-3.0. AI model or agent-provider usage may require separate provider billing.
Free Trial No 
Free Version Yes 

Deployment

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

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

Kandev

Website

kandev.ai/

Vendor Details

Company Name

RunMaestro.ai

Website

runmaestro.ai/