collabs-inc/collab-public

Collaborator is a place to create with agents.

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collabs-inc/collab-public has 3k+ stars and 300+ forks on GitHub, is written in TypeScript, and was last pushed on Aug 8, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 2 hours ago
Type:ApplicationCategory(s):AI Coding AgentsAI Agents & LLM Apps
Added to GitGenius on September 28th, 2026
Created on March 15th, 2026
Open Issues & Pull Requests: 80 (+0)
GitHub issues: Enabled
Number of forks: 306
Total Stargazers: 3,075 (+0)
Total Subscribers: 16 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 26.3 hours
Mean response time: 3.9 days
90th percentile: 11.7 days
Tracked items: 60

How this project is maintained

Roughly one issue in three opened in the past year never receives a reply. 100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. 96% of tracked open issues have had no activity in three months, so the open count overstates what is actively being worked. Only 39% of issues opened in the past year have been closed. Three people close 94% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 57
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 174 days
Stale 30+ days: 57
Stale 90+ days: 37

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 (2)

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Detailed Description

Collaborator is a native desktop application for building with AI agents.

Collaborator addresses the fragmentation of agentic development by consolidating terminals, code editors, context files, and running agent processes into a single unified workspace. Rather than switching between separate tools and tabs, developers arrange these elements on an infinite canvas where they can see agents and their work side by side. The application stores all data locally on disk and requires no accounts, operating as a self-contained environment for each user's projects.

The tool suits developers actively working with AI agents who want to minimize context switching and maintain visibility across multiple concurrent processes. It works best for those comfortable with local-first development and who value having terminals, code editing, and agent output visible simultaneously. The project is early-stage, so adoption makes sense for teams willing to work with active development and provide feedback rather than those needing a stable, feature-complete IDE replacement.

Development activity shows consistent forward momentum with regular updates to the codebase and active refinement of core features. The project maintains a clear technical direction, evidenced by deliberate choices in its stack and architecture. Work spans both foundational infrastructure improvements and user-facing enhancements, indicating attention to both robustness and usability. The team responds to the early-stage nature by keeping the scope focused on core functionality rather than attempting comprehensive feature parity with established development environments.