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Show HN: Eve – Managed OpenClaw for work
Eve is an AI agent harness that runs in an isolated Linux sandbox (2 vCPUs, 4GB RAM, 10GB disk) with a real filesystem, headless Chromium, code execution, and connectors to 1000+ services.<p>You give it a task and it works in the background until it's done.<p>I built this because I wanted OpenClaw without the self-hosting, pointed at actual day-to-day work. I’m thinking less personal assistant and more helpful colleague.<p>Here’s a short demo video: <a href="https://www.loom.com/share/00d11bdbe804478e8817710f5f53ac61" rel="nofollow">https://www.loom.com/share/00d11bdbe804478e8817710f5f53ac61</a><p>The main interface is a web app where you can watch work happen in real time (agents spawning, files being written, use of the CLI). There's also an iMessage integration so you can fire a task asynchronously, put your phone down, and get a reply when it's finished.<p>Under the hood, there's an orchestrator (Claude Opus 4.6) that routes to the right domain-specific model for each subtask: browsing, coding, research, and media generation.<p>For complex tasks it spins up parallel sub-agents that coordinate through the shared filesystem. They have persistent memory across sessions so context compounds over time.<p>I’ve packaged it with a bunch of pre-installed skills so it can execute in a variety of job roles (sales, marketing, finance) at runtime.<p>Here are a few things Eve has helped me with in the last couple days:<p>- Edit this demo video with a voice over of Garry: <a href="https://www.youtube.com/watch?v=S4oD7H3cAQ0" rel="nofollow">https://www.youtube.com/watch?v=S4oD7H3cAQ0</a><p>- Do my tax returns<p>- To build HN as if it was the year 2030: <a href="https://api.eve.new/api/sites/hackernews-2030/#/" rel="nofollow">https://api.eve.new/api/sites/hackernews-2030/#/</a><p>AMA on the architecture and lmk your thoughts :)<p>P.S. I've given every new user $100 worth of credits to try it.
Eve demonstrates strong technical execution by solving the 'execution environment' problem for AI agents through secure sandboxing and multi-agent orchestration. While the product is highly functional and addresses a massive market, it faces intense competition from both well-funded startups and foundation model providers (e.g., Anthropic's Computer Use) which may limit its long-term defensibility.