AI · alternatives · 2026
24 alternatives to Open Computer Use
Hi everyone, I'm Vasek (https://x.com/mlejva), the CEO of the company behind this - https://e2b.dev. The company is called E2B. We're an open-source (https://github.com/e2b-dev) devtool that makes it easy to run untrusted AI-generated code in our secure sandboxes. You can think of us as coding runtime for LLMs. You can self host us on GCP (https://github.com/e2b-dev/infra/blob/main/self-host.md) and we're working on AWS, then Azure, and any Linux machine. This repo is one of our open-source projects that we're…
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 2 we have checked on their own sites, 2 of them free or with a free tier.
- 1

Open-source, secure environment with real-world tools for enterprise-grade agents. - e2b-dev/E2B
2023 · github.com · its alternatives →
- 2

Hey HN, I am proud to show you guys that I have built an open source alternative to Azure OpenAI services. Azure OpenAI services was born out of companies needing enhanced security and access control for using different GPT models. I want to build an OSS version of Azure OpenAI services that people could self host in their own infrastructure. "How can I track LLM spend per API key?" "Can I create a development OpenAI API key with limited access for Bob?" "Can I see my LLM spend breakdown by models and endpoints?" "Can I create 100 OpenAI API keys that my students could use in a classroom…
2023 · github.com · its alternatives →
- 3
Activepieces▲212We observed two main points in the AI automation industry that led us to these decisions: 1. *Compute is so much cheaper now compared to 15 years ago. Why are users still paying like it’s 2010?* So, we made tasks/runs unlimited on all our paid cloud plans. We still have an open-source, self-hosted version, but for cloud users, they will now pay for premium features and have the freedom to use them as much as they want. 1. *Building a good AI agent is a knowledge transfer task, so everyone should be able to build their own agents.* If every time I need to automate something or build an…
2023 · activepieces.com · its alternatives →
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OpenBerth▲84Deploy AI-generated apps to your own server with one command. Open source, sandboxed, automatic HTTPS. Built for non-engineers.
Apr 2026 · openberth.io · its alternatives →
- 5

Hey HN: Kaveh here, the founder of https://www.usage.ai/ We help companies drive down AWS EC2 spend. Why? Because the way it's done now is a pain. DevOps and Software Engineers end up spending time managing costs rather than focusing on business problems. Previous to founding Usage, I worked on high-performance computing research at JP Morgan Chase and as a software engineer at a number of smaller startups. Here's how it works: We are typically brought in by a DevOps manager to cut AWS EC2 costs. The app is entirely self-service and the savings are generated automatically,…
2022 · usage.ai · its alternatives →
- 6

E2B Desktop Sandbox for LLMs. E2B Sandbox with desktop graphical environment that you can connect to any LLM for secure computer use. - e2b-dev/desktop
2024 · github.com · its alternatives →
- 7
Replicas▲239Hey HN! I'm Connor, creator of Replicas. I'm a heavy Codex/Claude Code user, and I wanted to hand off tasks to agents like I would to an engineer - kick something off before work, let it scaffold while I'm at lunch, even come back to a ready PR. The problem: existing alternatives use workspace VMs that are black boxes. I have no access to any of them - they can't run tests, read logs, or use tools like the Playwright MCP (which I use to verify agents actually fixed what they claim to fix). Replicas gives agents real cloud workspaces where they can: - Run your test suite and read the…
Jun 2026 · replicas.dev · its alternatives →
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Openbasefree▲216Manage your team of AI agents by voice, from anywhere
Jul 2026 · openbase.cloud · its alternatives →
- 9AS
Hi HN, I'm Alon, and I'm building Alien, an open-source platform for deploying your software into your customer's environment and keeping it fully managed. In my previous startup, I heard the same question from every single enterprise customer over and over again: "My data is sensitive. Can I deploy your product to my own cloud account?" Self-hosting is becoming very popular because it lets users keep their data private, local, and inside their own environment. Unfortunately, self-hosting breaks down when someone starts paying for your software. Especially if it's an enterprise customer.…
Apr 2026 · its alternatives →
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Boxes.devfree tier, from $19/mo▲112Hi HN, we’re Nick and Drew, and we’re building boxes.dev – the first cloud-only agentic dev environment (ADE) that gives every Codex and Claude Code agent its own cloud computer. We’re two engineers who previously built Gem (co-founder/CTO and first hire), and we spent the last year coding almost exclusively using Codex and Claude Code. It’s been a huge change to how we code, and it’s been exhilarating seeing the models keep getting better – but we eventually realized that developing on localhost was holding us back: - Git worktrees are clunky to set up and use for parallelizing work -…
Jun 2026 · boxes.dev · its alternatives →
- 11

Hi HN! Sina here. i wanted to share this open source project (apache 2.0) that i've been working on for the past month or so. it's called hotcell and it lets you create/pause/manage sandboxes on any device (your laptop, linux vm, bare metal). i've tested it against various benchmarks that i found on computesdk (https://www.computesdk.com/benchmarks/sandboxes/) as well as the one shared by dax (cofounder of open code) on twitter recently (link to his original thread and my reply https://x.com/sinasanm/status/2078158598996443346) and…
Aug 2026 · github.com · its alternatives →
- 12
Livinity▲90Open-source homeserver OS with a built-in AI agent
Jul 2026 · livinity.io · its alternatives →
- 13IB
Hey HN: I'm Kaveh, the founder of Usage (https://www.usage.ai/) We help companies drive down AWS costs. Why? Because the way it's done now is a pain. Stakeholders, especially engineers, are required to spend unnecessary time manually finding underutilized or overly expensive EC2s. We believe the optimization process should be done automatically through a series of sophisticated algorithms. At the moment, there are over 70,000 AWS EC2 prices - doing that manually just won't scale at most organizations. My background is in software engineering. Previous to founding Usage, I…
2020 · its alternatives →
- 14WB
Hey HN: Kaveh here, founder of https://www.usage.ai/ We help companies drive down AWS, GCP, and Azure spend. Why? Because the way it's done now is a pain. DevOps and Software Engineers end up spending time managing costs rather than focusing on business problems. I have been building Usage AI for almost 4 years now (4 year anniversary in 1 month from now!) with an incredible group of founding people. We started as a product just to help lower AWS EC2 costs, and now we do all major AWS services (such as RDS, OpenSearch, ElastiCache, and Redshift with more on the way) and other…
2024 · its alternatives →
- 15

I built this as a small side project to learn and experiment, and I ended up with this! I used a subdomain from my personal portfolio, and everything else runs on free tiers. The project uses Nuxt, SVG, Cloudflare Workers, D1 (SQL), KV, Terraform, and some agentic coding with OpenAI Codex and Claude Code. What started as a joke among friends turned into a fun excuse to build something end to end, from zero to production, and to explore a few things I’d never touched before. I’d really appreciate any feedback or suggestions.
Jan 2026 · certificate.brendonmatos.com · its alternatives →
- 16

Over the past few months, as we scaled our internal AI Agents, we hit a dead end: Running LLM-generated arbitrary code in Docker is basically running naked on security due to container escape risks. But using full traditional VMs takes minutes to boot and eats too much memory to support high-density concurrency. We loved the developer experience of SaaS sandboxes on the market, but they are closed-source, expensive, and have too high a barrier to entry for self-hosting. So, our team decided to build our own. After months of grinding, using RustVMM and KVM, we built a blazing-fast,…
Apr 2026 · github.com · its alternatives →
- 17
Burla▲14Hi HN! Would love any thoughts on this, we built Burla to enable anyone, even total beginners to scale Python to thousands of computers in their cloud with zero hassle. In a world of coding agents, this means something different than it used to, specifically that Burla requires almost no cloud permissions to get started. Anyone who has permission to boot a VM in their cloud can simply pip install burla and scale Python to 1000's of VM's. Burla uses your local aws cli credentials to boot VM's and the dashboard runs locally for you to monitor resources and jobs. All together this creates a UX…
2025 · burla.dev · its alternatives →
- 18AB
Hey HN: Kaveh here, the founder of https://www.usage.ai/ We launched a new free tool to help engineers understand their AWS spend. Why? Because the way it's done now is a pain. DevOps and Software Engineers end up end up becoming cloud accountants or end up forking over a big % of their AWS bill for a tool to understand costs rather than focusing on business problems. Previous to founding Usage, I worked on high-performance computing research at JP Morgan Chase and as a software engineer at a number of smaller startups. Here's how this new tool works: It's fully self-serve and…
2022 · its alternatives →
- 19

We recently open-sourced Hive after using it internally to support real production workflows tied to contracts totaling over $500k. Instead of manually wiring workflows or building brittle automations, Hive is designed to let developers define a goal in natural language and generate an initial agent that can execute real tasks. Today, Hive supports goal-driven agent generation, multi-agent coordination, and production-oriented execution with observability and guardrails. We are actively building toward a system that can capture failure context, evolve agent logic, and continuously improve…
Feb 2026 · github.com · its alternatives →
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Aether▲26Since coding agents like Claude Code and Codex came out, I've been pretty obsessed with them. It's hard not to when you're getting a 20x discount on inference. I've also been frustrated by them a lot. I hated walking around with my laptop lid open while connected to a hotspot on my phone, having to tediously accept commands so I don't lose my root directory, and running out of RAM when running multiple agents that were spinning up dev servers in different worktrees at once. A lot of people would say existing cloud agents are the solution to this, as none of the above problems apply to any…
Jul 2026 · runaether.dev · its alternatives →
- 211D
We just open-sourced the internal system we built at Assembled for running coding agents as a team. Coding agents worked well for individual engineers, but the surrounding workflow was a bit of a mess. We generally found that many engineers had different MCP connections and context for their agents, personal automations running that other people couldn’t access, and very little introspection for what a human’s input into the coding agent looked like. So we built an internal system that converted coding agents into shared team infrastructure. The system runs Codex, Claude Code, OpenCode, and…
Jun 2026 · its alternatives →
- 22

Open-source agent runtime — SSH-native isolation, eBPF egress policy, Kubernetes + LXC backends, GPU passthrough, MCP-native CLI - FootprintAI/Containarium
Jan 2026 · github.com · its alternatives →
- 23

E2B Gives AI Agents Secure Computers with Real-World Tools. E2B is Used by 94% of Fortune 100 Companies for Frontier Agentic Workflows.
2024 · e2b.dev · its alternatives →
- 24
Authorizer▲21Open-source auth for enterprise applications, and AI agents
Sep 2026 · authorizer.dev · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →