Kopai

What it does

Kopai is the cloud for AI agents. Build the agent; we run it. Publish any agent as an API (native or OpenAI-compatible, with streaming), list it in the marketplace, or call it from your own product. Analytics count what an agent costs to run separately from what it earns. A one-command benchmark runs it against reference agents before you ship. Certification expires, and answers get re-checked. Chat and the API use the same engine, so an exported agent behaves like the one you tested.

There's already an agent for that. If there isn't, build one. Write the prompt and we run the models, the storage and the billing.

Kopai turns expertise into revenue-generating agents. We handle RAG, orchestration, tools, and billing. Creators build AI agents for data analysis, workflows, and document generation, monetize it, list it on our marketplace, or export it to their own site. No backend code. Write the prompt, upload your documents, try a few models side by side. Seven steps from blank page to shipped. The keys, the vector database and the servers are ours to keep alive. You get an endpoint and a bill you can read. List it and get paid by the message. Every charge is written down as it happens, and you can read the whole ledger. Put the agent inside your own product and still bill through Kopai. Same wallet,…from usekopai.com

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  Kodey.aiDec 2025 · ▲163

  Build real AI agents that work - not just chat.

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  Kodosumi2025 · kodosumi.io · ▲167

  Hi Hacker News, I’m part of the team behind Kodosumi. We built it because deploying agentic services in production was much harder than building proof-of-concepts. Many frameworks let you build agents, but when you want them to run long tasks, scale across machines, or be observed/monitored reliably, things fall apart. Kodosumi is our answer to that. It’s an open-source runtime that uses Ray + FastAPI + Litestar to let you: Deploy “agents” and “flows” and expose APIs easily, with minimal config (just one YAML) Scale horizontally for bursty workloads and long-running tasks without losing…

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  Agent 37Mar 2026 · agent37.com · ▲400

  Hey HN, I noticed there are 1,000+ MCP skills on GitHub with zero way for creators to charge for them. So I built Agent37. Selling Claude skills today means asking customers to download your skill, set up Claude Code on their laptops, configure MCP servers, and pray it works. No trial, no updates, often you're just handing over the source. Agent37 lets creators upload a skill, share a link, and anyone can try it instantly (no Claude account needed). Built-in Stripe, creators keep 80%. Looking for feedback on the approach. Would you use something like this?

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  Kōan Apr 2026 · k-an.vercel.app · ▲64

  See your AI agents think. Reasoning, tool calls & decisions

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  computer agentsFeb 2026 · computer-agents.com · ▲8

  Hey HN, Chatbots are amazing at conversation. They suck at getting shit done while you’re sleeping, in a meeting, or at the beach. So I built Computer Agents: real AI coworkers that each get their own isolated computer in the cloud. What actually happens when you create one: It boots its own persistent workspace (files, code, memory, everything survives forever) You give it a goal + tools/skills It runs 24/7 on cron, webhooks, or just “keep working until done” You get results via email, Telegram, or just check back whenever No more “remember this for next time.” It literally…

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  Run AI Agents on your cloud infrastructure2025 · okteto.com · ▲12

  Hi, founder of Okteto here! We’ve been experimenting with AI agents in our workflows at Okteto. Running them locally worked at first, but quickly became painful. git worktrees, multiple terminals, and messy context switches slowed us down. So we built Agent Fleets: ephemeral, fully managed environments for AI agents, built on top of Okteto’s development platform. Each agent runs in its own containerized environment on your infrastructure, with the services, tools, and policies it needs. You can spin up agents with a single click or API call. No local setup. No git worktrees. The beta…

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  An e-ink frame that hears birds and draws them as 1800s illustrations▲2,389

  E-ink bird frame for Raspberry Pi - real-time bird detection by audio, fully local AI, rendered as real, hand-cut 1800s bird illustrations. - arnegiacomo/fugleramme

  AI · 17d ago · github.com

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  Jev▲544

  Fast, structured AI decisions for software automation

  AI · 12d ago · console.typesafe.ai

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  AINA▲497

  Find your job search blind spots with an AI coach

  AI · 15d ago · aina-tech.io

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  Solid▲471

  Agents with their own computers, accounts, and budgets.

  AI · 12d ago · solid.tech

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  iFixAi▲440

  Independent auditing of AI agents to uncover misalignment

  AI · 16d ago · ifixai.ai

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  PixVerse R2▲381

  A real-time world model you can explore and change

  AI · 10d ago · world.pixverse.video

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  An e-ink frame that hears birds and draws them as 1800s illustrations▲2,389

  E-ink bird frame for Raspberry Pi - real-time bird detection by audio, fully local AI, rendered as real, hand-cut 1800s bird illustrations. - arnegiacomo/fugleramme

  AI · 17d ago · github.com

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  What if the speed of light was 5 km/h?▲629

  Special relativity simulator in which light crawls along at a human speed, so Lorentz contraction, aberration and Doppler shift happen at walking pace.

  Life & fun · 23d ago · rivendell.dmitrybrant.com

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  Jev▲544

  Fast, structured AI decisions for software automation

  AI · 12d ago · console.typesafe.ai

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  Kilo Code for iOS and Android▲498

  Start coding agents, control sessions, review PRs. Anywhere.

  Dev tools · 22d ago · kilo.ai

• 
  AINA▲497

  Find your job search blind spots with an AI coach

  AI · 15d ago · aina-tech.io

• 
  Solid▲471

  Agents with their own computers, accounts, and budgets.

  AI · 12d ago · solid.tech