holaboss-ai/holaos

Open-source All in One AI agent workspace. Run any agent — Claude Code, Codex — across your tools (100+ integrations + MCP), apps, browser, and files, with...

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Summary Information

Updated 4 minutes ago
Added to GitGenius on August 13th, 2026
Created on March 22nd, 2026
Open Issues & Pull Requests: 8 (+0)
GitHub issues: Enabled
Number of forks: 671
Total Stargazers: 8,329 (+0)
Total Subscribers: 180 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 20.7 hours
Mean response time: 9.1 days
90th percentile: 6.6 days
Tracked items: 13

Most active contributors

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How this project is maintained

Around half of the issues opened in the past year never receive a reply. Only 10% of issues opened in the past year have been closed. Three people close 100% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 4
New in 7 days: 2
Closed in 7 days: 1
Avg open age: 65 days
Stale 30+ days: 0
Stale 90+ days: 0

Recent activity

Opened in 7 days: 2
Closed in 7 days: 1
Comments in 7 days: 1
Events in 7 days: 5

Top labels

  • enhancement (7)
  • bug (4)

Detailed Description

holaOS is an all-in-one AI agent workspace that lets you run multiple agents—Claude Code, Codex, or the built-in holaOS agent—across your tools, files, and browser with shared memory.

The tool addresses the fragmentation problem of working with different AI agents by providing a unified local-first environment where any agent can operate over the same set of integrations, files, and persistent memory. It supports over one hundred integrations and the Model Context Protocol, allowing agents to access external tools and data consistently. Users can either leverage built-in frontier models or bring their own API keys.

holaOS suits developers and teams who work with multiple AI agents and want to avoid context switching and repeated setup. The key advantage is that all agents share the same workspace, memory, tools, and skills, so switching between Claude Code, Codex, or holaOS's own agent does not require reconfiguring your environment. The tool runs as a desktop application on macOS, Windows, and Linux, emphasizing local-first operation.

The project maintains active continuous integration and accepts contributions across its TypeScript codebase. Development activity shows ongoing engagement with the community through public communication channels and regular updates to the core platform.