paperclipai/paperclip

The open-source app everyone uses to manage agents at work

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Summary Information

Updated 49 minutes ago
Added to GitGenius on August 12th, 2026
Created on March 2nd, 2026
Open Issues & Pull Requests: 5,106 (+4)
GitHub issues: Enabled
Number of forks: 14,382
Total Stargazers: 78,495 (+9)
Total Subscribers: 378 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 10.1 hours
Mean response time: 7.0 days
90th percentile: 20.1 days
Tracked items: 1,579

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. 55% of tracked open issues have had no activity in three months. Only 5% of issues opened in the past year have been closed.

Charts & Analytics

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Issue Activity (beta)

Open issues: 2,102
New in 7 days: 83
Closed in 7 days: 53
Avg open age: 93 days
Stale 30+ days: 1,694
Stale 90+ days: 1,011

Recent activity

Opened in 7 days: 78
Closed in 7 days: 52
Comments in 7 days: 60
Events in 7 days: 102

Top labels

  • bug (69)
  • enhancement (25)
  • documentation (2)
  • good first issue (1)
  • plugins (1)

Detailed Description

Paperclip is an open-source agent management application that helps teams organize and oversee AI agents in workplace environments.

The tool addresses the challenge of coordinating multiple AI agents across different tasks and workflows. It provides a centralized interface where teams can deploy, monitor, and control agents without requiring deep technical expertise. The approach focuses on making agent management accessible through a user-friendly application rather than requiring command-line or programmatic configuration.

Teams should consider Paperclip if they are running multiple AI agents and need visibility into their operations, performance, and interactions. It suits organizations that want to standardize how agents are managed across different projects and team members. The tool is particularly relevant for teams that lack dedicated infrastructure expertise but still need robust agent orchestration capabilities.

The project shows active development with regular updates to its codebase. Work spans across multiple areas including core functionality, user interface improvements, and integration capabilities. The development activity indicates ongoing refinement of the agent management experience and expansion of the platform's capabilities.