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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

Muse Code is a beta terminal coding agent from Meta designed to help developers complete complex software engineering work across large codebases. Powered by Muse Spark 1.2, the agent can plan repository changes, write code, run validation steps, and coordinate persistent subagents for difficult development tasks. Muse Code uses a simple main agent loop supported by async background agents that remain active throughout each session. These background agents can gather information, carry out next steps, and decide when to report back to the main agent, reducing latency and unnecessary user steering. The runtime is built around a local event log where every model call, tool run, approval, and edit is appended. This event log makes Muse Code replay-exact and restart-safe, allowing it to resume from the point of failure after a crash. Muse Code also ships with default skills, including /plan, /grill, and /goal, to support structured planning, plan validation, and objective completion. It can be installed on macOS or Linux and is integrated with Meta’s AI developer ecosystem. By combining terminal-based coding, persistent subagents, replay-safe execution, bundled skills, and Muse Spark 1.2, Muse Code helps developers automate larger and longer software engineering workflows.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Azure DevOps Yes 
Claude Code Yes 
Codex CLI Yes 
CueHQ No 
Cursor Yes 
Gemini CLI Yes 
GitHub Copilot Yes 
GitLab Yes 
Jira Yes 
Linear Yes 
Meta AI No 
Model Context Protocol (MCP) Yes 
Muse Glimmer No 
Muse Spark No 
Muse Spark 1.1 No 
Muse Spark 1.2 No 
Muse Spark 1.3 No 
Muse Wonder No 
OpenCode Yes 
Sentry Yes 

Integrations

Azure DevOps No 
Claude Code No 
Codex CLI No 
CueHQ Yes 
Cursor No 
Gemini CLI No 
GitHub Copilot No 
GitLab No 
Jira No 
Linear No 
Meta AI Yes 
Model Context Protocol (MCP) No 
Muse Glimmer Yes 
Muse Spark Yes 
Muse Spark 1.1 Yes 
Muse Spark 1.2 Yes 
Muse Spark 1.3 Yes 
Muse Wonder Yes 
OpenCode No 
Sentry No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$1.25 per 1M tokens (input)
Standard pricing: $1.25 per million input tokens and $4.25 per million output tokens

Discounted "contributor" tier costing $0.10 per million input tokens and $0.20 per million output tokens for users who agree to share feedback to improve the AI.
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

Meta

Founded

2004

Country

United States

Website

meta.ai

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No Alternatives

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