dtyq/magic

Magicrew. The first open-source all-in-one AI productivity platform (Generalist AI Agent + Workflow Engine + IM + Online collaborative office system)

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Summary Information

Updated 36 minutes ago
Added to GitGenius on September 13th, 2026
Created on May 14th, 2025
Open Issues & Pull Requests: 17 (+0)
GitHub issues: Enabled
Number of forks: 561
Total Stargazers: 5,028 (+0)
Total Subscribers: 40 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 6.8 hours
Mean response time: 19.5 days
90th percentile: 21.7 days
Tracked items: 54

Most active contributors

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How this project is maintained

Around half of the issues opened in the past year never receive a reply. Only 4% of issues opened in the past year have been closed. Three people close 70% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 6
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 91 days
Stale 30+ days: 6
Stale 90+ days: 3

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • bug (19)
  • documentation (4)
  • enhancement (3)
  • deployment (2)

Most active issues this week

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Detailed Description

Magic is an enterprise-grade open-source AI agent platform that combines a generalist AI agent, workflow engine, instant messaging, and collaborative office capabilities into a single system.

Magic addresses the challenges that arise when personal AI assistants are deployed at enterprise scale. It provides a unified data hub to prevent institutional knowledge from being locked in individual employee accounts, implements per-department and per-user budget caps to control API costs, runs AI agents in sandboxed environments to keep data within organizational boundaries, requires human approval for high-risk actions like file deletion or email sending, enables integration with internal systems like ERPs and CRMs by wrapping them as digital employees, and delivers finished artifacts such as dashboards, reports, presentations, and spreadsheets rather than plain text output.

Teams should consider Magic if they need autonomous AI automation across their organization while maintaining security, cost control, and human oversight. It suits enterprises of any size seeking to centralize AI capabilities and prevent data fragmentation. The platform is designed for organizations that want to run AI agents continuously without the risks associated with third-party tools or scattered employee accounts.

The project maintains active development with regular commits and closed issues tracked through its repository. Community engagement occurs through discussions, indicating ongoing dialogue with users. The tool is self-hostable, allowing organizations to deploy it within their own infrastructure rather than relying on external services.