agent0ai/agent-zero

Agent Zero AI framework

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Summary Information

Updated 35 minutes ago
Added to GitGenius on September 3rd, 2026
Created on June 10th, 2024
Open Issues & Pull Requests: 148 (+0)
GitHub issues: Enabled
Number of forks: 3,788
Total Stargazers: 19,117 (+0)
Total Subscribers: 291 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 27.0 hours
Mean response time: 32.2 days
90th percentile: 160.3 days
Tracked items: 589

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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. Almost all tracked open issues have seen activity in the last three months. Only 17% of issues opened in the past year have been closed. Three people close 74% of everything that gets resolved.

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Issue Activity (beta)

Open issues: 65
New in 7 days: 3
Closed in 7 days: 5
Avg open age: 50 days
Stale 30+ days: 41
Stale 90+ days: 2

Recent activity

Opened in 7 days: 2
Closed in 7 days: 4
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

Agent Zero is an AI agent framework that provides autonomous agents with a full Linux desktop environment, browser automation, and document collaboration capabilities.

The framework addresses the limitation of chat-based AI by giving agents access to real graphical software, terminal environments, and file systems within a Dockerized Linux desktop. Agents can interact with GUI applications, inspect and manipulate web page elements through DOM annotation, and collaborate on documents in real time rather than losing work in conversation history. The tool runs on Docker, making it deployable across personal machines, cloud servers, and edge devices from low-cost VPS instances to GPU workstations.

Agent Zero suits teams and individuals building autonomous systems that need to perform complex desktop tasks, web automation, or software development workflows. The framework emphasizes transparency, allowing users to inspect and edit prompts, tools, plugins, and settings directly. It supports multi-agent cooperation where specialized subagents can be delegated focused tasks like research or code review. The project includes a plugin hub for extending functionality and maintains project-level isolation for files, instructions, secrets, and model configurations. A desktop launcher application provides guided setup on personal machines, while a terminal-based installer serves server deployments and scriptable environments.

The project maintains active engagement with its user base, with nearly all open issues originating from external adopters rather than the core team, demonstrating substantial real-world adoption. Maintainers respond to new issues and pull requests within a few days, indicating consistent attention to user feedback and contributions.