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Computer Agents – Agents that work while you sleep

Computer Agents – Agents that work while you sleep

by janlucasandmann·Mar 1, 2026·7 points·0 comments

AI Analysis

●●SolidSolve My ProblemSlick

Persistent AI coworkers beat stateless chatbots, but agent orchestration is crowded territory.

Strengths
  • Genuine persistence layer (files, context, memory) across sessions solves real agent amnesia problem vs API-chaining tools.
  • Native iOS/Mac apps + webhook triggers enable true async workflows that don't require browser tabs or manual reruns.
  • Multi-step research examples (cancer treatment innovations with citations) show real capability beyond simple API wraps.
Weaknesses
  • Agent orchestration market is dense (Anthropic Claude with memory, LangGraph, CrewAI, Replit Agent). Persistence alone isn't differentiating.
  • Pricing model unclear from landing page; no transparent cost comparison vs self-hosted alternatives or cheaper platforms.
Category
Target Audience

Teams automating repetitive knowledge work: research reports, data analysis, support triage, content generation.

Similar To

Anthropic Agents API with memory · LangGraph + LangChain · CrewAI

Post Description

Hey HN, Most AI “agents” I’ve tried are basically chatbots with amnesia — they forget everything the moment you close the tab and can’t do anything unless you’re sitting there watching them. I wanted real AI coworkers that just… work. So I built Computer Agents (aiOS). Every agent you create gets its own isolated computer in the cloud — complete with persistent memory, a real file system, code execution environment (with automatic dependency management), and the ability to run scheduled or webhook-triggered tasks 24/7. You give it a goal (“research this market and email me a report every Monday”, “generate floor plans from client briefs”, “handle incoming support emails”, “run my weekly data analysis”), walk away, and come back to finished results in your inbox, Telegram, or dashboard. Key highlights: • Persistent workspaces — context and files survive forever (no more “remember what we talked about last week?”) • Native iOS app (iPhone + iPad) + native Mac app + web dashboard • Python + TypeScript SDKs (pip install computer-agents, npm install computer-agents) • Multi-agent orchestration (sequential, parallel, map-reduce, conditional flows) • Built-in skills: deep web research with citations, web search, image generation, full code interpreter • Integrations: Email, Telegram, GitHub, Google Drive, OneDrive, Notion, webhooks, etc. • Runs in secure isolated cloud containers (you own your data) It’s live at https://computer-agents.com Free tier gives you 150 compute tokens (~15–23 decent-sized tasks) so you can try it right now. Pro starts at $19/mo when you want more. This is very much still a young indie project (I’m the solo founder), but it’s already helping real teams automate support, research, content, and coding workflows. Would love your honest feedback — especially: • What persistent/long-running agent pain points have you hit with other tools? • Interesting use cases you’d want to try? • Thoughts on the architecture (sandboxing, persistence model, orchestration) Happy to answer any questions! Thanks, Jan Luca (indie maker behind Computer Agents) P.S. If you’re into computer-use agents, we also have a comparison page: https://computer-agents.com/compare/computer-use-agents

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