sukeesh/jarvis

Personal Assistant for Linux and macOS

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Summary Information

Updated 1 hour ago
Added to GitGenius on September 18th, 2026
Created on March 10th, 2017
Open Issues & Pull Requests: 126 (+0)
GitHub issues: Enabled
Number of forks: 1,163
Total Stargazers: 3,709 (+0)
Total Subscribers: 133 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 9.9 days
Mean response time: 33.4 days
90th percentile: 87.3 days
Tracked items: 45

Most active contributors

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How this project is maintained

97% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Three people close 83% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 34
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 676 days
Stale 30+ days: 33
Stale 90+ days: 32

Recent activity

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

Top labels

  • discussion (1)
  • enhancement (1)
  • help wanted (1)

Most active issues this week

No issue events were indexed in the last 7 days.

Detailed Description

Jarvis is a personal assistant for Linux, macOS, and Windows that operates from the command line and can perform over fifteen different tasks including weather lookups, game playing, fitness tracking, and system information retrieval.

The tool addresses the need for a lightweight, local command-line assistant by bundling diverse functionality into a single interface. Rather than relying on cloud-based AI, Jarvis integrates with existing APIs and local system capabilities to handle requests across entertainment, sports, health, calculations, file management, and information lookup. Users interact through simple text commands, with optional voice output enabled through system text-to-speech.

Jarvis suits developers and power users who prefer terminal-based workflows and want a customizable assistant without cloud dependencies. The breadth of built-in tasks—spanning games like Blackjack and Wordle, unit conversions, image processing, PDF conversion, stock tracking, and language translation—makes it useful for those who want multiple utilities accessible from one command interface. The project is most appropriate for Linux and macOS users seeking a straightforward installation and immediate functionality, though Windows support exists with some additional setup considerations around module dependencies.

Development activity shows consistent maintenance with regular updates addressing user-reported issues, particularly around dependency resolution on Windows platforms where module import errors have been documented and solutions provided. The project maintains an organized command structure with help documentation accessible to new users, and the codebase reflects ongoing refinement of existing features rather than rapid expansion into new domains.