MarinaBox: Open-Source Sandbox Infra for AI Agents

Hacker News

Hey everyone, We're excited to introduce MarinaBox, an open-source toolkit for creating isolated desktop/browser sandboxes tailored for AI agents. Over the past few months, we've worked on various projects involving: 1. AI agents interacting with computers (think Claude computer-use scenarios). 2. Browser automation for AI agents using tools like Playwright and Selenium. 3. Applications that need a live-session view to monitor AI agents' actions, with the ability for human-in-the-loop intervention. What we learned: All these scenarios share a common need for robust infrastructure. So, we built MarinaBox to provide: • Containerized Desktops/Browsers: Easily start and manage desktop/browser sessions in a containerized environment. • Seamless Transition: Develop locally and host effortlessly on your cloud in production. • SDK/CLI for Control: Native support for computer use, browser automation (Playwright/Selenium), and session management. • Live-Session Embedding: Integrate a live view directly into your app, enabling human-in-the-loop interactions. • Session Replays: Record and replay sessions with ease. Check it out: • Documentation: https://marinabox.mintlify.app/get-started/introduction Main Repo: https://github.com/marinabox/marinabox Sandbox Infra: https://github.com/marinabox/marinabox-sandbox We’ve worked hard to make the documentation detailed and developer-friendly. For any questions, feedback, or contributions: • Discord: https://discord.gg/nAyFBSSU87 • Email: askmarinabox@gmail.com Let us know what you think, and feel free to contribute or suggest ideas! We built this in about 10 days and a large part of the code and docs were generated using AI. Let us know if something is wrong. We would love your feedback. PS: The above version allows you to run locally. We are soon releasing self hosting on cloud.

Visit product View on Hacker NewsDec 24, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, claude · Missing: mac, macos, cursor

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Indie HackersFits the IH revenue-focused audience · Strong signals: started, ios · Missing: supports, reddit linkedin, podcasting

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AppSumoMay struggle as an AppSumo deal · Strong signals: host, friendly, soon · Missing: plus, platform, intuitive

48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: ios, month · Missing: mobile apps, personal, entrepreneurs

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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BetaListMay not resonate with beta-testers · Strong signals: introduce · Missing: web3, chat, crypto

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