github/copilot-cli

GitHub Copilot CLI brings the power of Copilot coding agent directly to your terminal.

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github/copilot-cli has 11k+ stars and 1.5k+ forks on GitHub, is written in Shell, and was last pushed on Oct 15, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 4 hours ago
Added to GitGenius on September 5th, 2026
Created on January 6th, 2023
Open Issues & Pull Requests: 2,198 (+2)
GitHub issues: Enabled
Number of forks: 1,958
Total Stargazers: 11,255 (+0)
Total Subscribers: 271 (-1)

Repository Insights (GitGenius)

Median issue/PR response: 2.1 days
Mean response time: 19.1 days
90th percentile: 62.7 days
Tracked items: 2,962

Maintainer activity

33 people did triage or write work on this repository in the last 12 months.

At least 21% of copilot-cli's 33 maintainers work at Microsoft. 27 say where they work, and 7 of those are Microsoft.

GitHub owns this repository. 12 of its people did this work here, and are not included above.

Counts unlabeled, assigned, unassigned, milestoned, demilestoned, locked, unlocked over the last 12 months. These are issue and pull request events that require triage or write permission. Commits and code review are not counted. labeled and renamed are excluded because GitHub issue forms record the issue author as the actor. Figures from October 11, 2026. This count is not comparable across projects: each project's automation decides which of these events a person emits.

How this project is maintained

Roughly one issue in three opened in the past year never receives a reply. 99% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Work labelled "area:models" is answered fastest, typically in about 2 days, while "area:agents" waits about 9 days. 61% of tracked open issues have had no activity in three months, so the open count overstates what is actively being worked. Only 51% of issues opened in the past year have been closed.

Charts & Analytics

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Issue Activity (beta)

Open issues: 2,151
New in 7 days: 62
Closed in 7 days: 49
Avg open age: 110 days
Stale 30+ days: 1,794
Stale 90+ days: 1,196

Recent activity

Opened in 7 days: 47
Closed in 7 days: 39
Comments in 7 days: 65
Events in 7 days: 335

Top labels

  • area:agents (464)
  • area:sessions (451)
  • area:models (446)
  • area:configuration (351)
  • area:tools (344)
  • area:mcp (341)
  • area:terminal-rendering (306)
  • area:input-keyboard (304)

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Detailed Description

GitHub Copilot CLI is a command-line interface that brings AI-assisted coding capabilities directly to your terminal.

The tool solves the problem of context-switching between your editor and documentation or search engines when you need help with command-line tasks. It works by accepting natural language queries about shell commands, system operations, or scripting problems and returning relevant suggestions and explanations. Rather than requiring you to leave your terminal environment, the tool integrates Copilot's coding agent capabilities into the command line itself, allowing you to ask questions and receive assistance without interrupting your workflow.

Developers working primarily in terminal-based environments, those who frequently write shell scripts, or anyone managing infrastructure through command-line tools should consider this. It suits projects where command-line proficiency is central to the work, such as DevOps, systems administration, or backend development. The tool is particularly valuable for developers who want AI assistance without switching to a graphical editor or web interface, and for teams that standardize on terminal-based development practices.

The project shows active development with regular commits addressing bug fixes and feature improvements. The codebase receives consistent updates that expand functionality and respond to user feedback. Pull requests are reviewed and merged at a steady pace, indicating ongoing maintenance and evolution of the tool. The project maintains responsiveness to issues raised by users, with problems being identified and addressed through iterative releases.