msitarzewski/agency-agents

A complete AI agency at your fingertips - From frontend wizards to Reddit community ninjas, from whimsy injectors to reality checkers. Each agent is a...

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Summary Information

Updated 35 minutes ago
Added to GitGenius on March 13th, 2026
Created on October 13th, 2025
Open Issues & Pull Requests: 134 (+0)
Number of forks: 23,525
Total Stargazers: 145,506 (+11)
Total Subscribers: 1,082 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 34.5 hours
Mean response time: 12.1 days
90th percentile: 47.3 days
Tracked items: 122

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. 40% of tracked open issues have had no activity in three months. Only 11% of issues opened in the past year have been closed. Three people close 89% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 58
New in 7 days: 5
Closed in 7 days: 0
Avg open age: 20 days
Stale 30+ days: 44
Stale 90+ days: 23

Recent activity

Opened in 7 days: 5
Closed in 7 days: 0
Comments in 7 days: 3
Events in 7 days: 11

Top labels

  • enhancement (21)
  • bug (15)
  • wontfix (1)

Detailed Description

Agency Agents is a collection of specialized AI agent personalities designed to integrate with code editors and AI development tools.

The project addresses the need for domain-specific AI assistants by providing pre-built agent profiles rather than generic prompts. Each agent combines a defined personality, expertise area, and set of workflows with measurable outcomes. The approach centers on creating "dream team" members—specialized experts with distinct communication styles and proven deliverables—that can be installed into various AI tools and code editors to handle specific tasks.

Developers should adopt this tool if they work with Claude Code, Cursor, Codex, Gemini, or similar AI-assisted development environments and want to quickly deploy specialized agents without writing custom prompts from scratch. The project suits teams that need multiple domain experts (frontend specialists, community managers, quality checkers, and others) but prefer using pre-configured personalities over building their own. A native desktop application is available for macOS, Linux, and Windows that handles installation and updates without requiring terminal commands, making it accessible to users who prefer graphical interfaces. The tool also supports installation via command line for those who prefer scripting, and agents can be used as reference material for manual adaptation.

The project maintains a substantial base of real-world adopters who report issues and request features. Maintainers respond to new issues and pull requests within a few days. Development activity focuses on enhancements and bug fixes, with most issues originating from outside users rather than the core team.