A unified, OpenAI-compatible gateway to every major LLM provider. One endpoint, one key, one bill - with automatic routing and failover.
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Supermemory
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HolyCode
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Gitpod
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HolyCode Cloud is a cloud AI workstation with 60+ tools already installed, built for running AI coding agents unattended.
Hand off a task, close your laptop, and the work continues. Processes, files and terminal scrollback survive the disconnect, and the machine suspends when idle and resumes in about a second, so an always-on workspace does not bill like one.
Six agent CLIs preinstalled and on PATH: Claude Code, Codex, Gemini, OpenCode, Cursor and Pi.
Plus the tooling agents actually reach for: Postgres, Playwright with its system dependencies resolved, ffmpeg, pandoc, gh, ripgrep, tmux, Node and Python with build-essential.
Bring your own key. Your Anthropic, OpenAI or Gemini key stays on your box. The provider bills you directly and there is no markup on tokens.
Most cloud dev environments are containers with an idle reaper that reclaims them when nobody has typed for a while, which is exactly what a working unattended agent looks like to a timer. Here the workspace is a real VM with a persistent disk.
Five tiers from $19 to $199 per month, differing only by CPU, RAM and disk. Every feature is on every tier. No free tier; a 7-day refund instead, with no form and no call.
Supermemory HolyCodeHolyCode's answer:
The machine does not stop when you do. Most cloud dev environments are containers with an idle timer that reclaims them when nobody has typed for a while, which is exactly what a working unattended agent looks like to a timer. Here the workspace is a real VM with a persistent disk. Hand an agent a four-hour task, close your laptop, and the processes, files and terminal scrollback are still there when you come back. It suspends when idle and resumes in about a second, so always-on does not mean always-billing.
HolyCode's answer:
Three practical differences. First, nothing gets reclaimed for idleness, so long unattended agent runs actually finish. Second, every tier includes the full toolset. Tiers differ only by CPU, RAM and disk, so paying more buys horsepower rather than unlocking features. Third, you bring your own Anthropic, OpenAI or Gemini key and the provider bills you directly, with no markup on tokens.
Where it is not the right choice: if you want a free tier to try, there isn't one, because every account is a real VM that costs money from the first minute. There is a 7-day refund instead.
HolyCode's answer:
Developers running AI coding agents on real work rather than demos. Typically people who already pay for Claude, Codex or Gemini and have hit the point where the bottleneck is not the model but the machine underneath it. Many have tried tmux on a VPS and got tired of maintaining the VPS.
HolyCode's answer:
It started as an open-source Docker image for running coding agents with persistent state, which is still free and maintained at github.com/CoderLuii/HolyCode. The most common feedback was that persistence mattered most: sessions, settings and progress surviving a rebuild rather than starting over each time. The hosted version is that same image on a machine someone else maintains.
HolyCode's answer:
Fly.io machines with persistent volumes for the workspaces, Docker and Debian for the image, ttyd for the browser terminal, Node and React for the interface, and Cloudflare for the site and control plane.
Based on our record, Supermemory seems to be more popular. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
This is usually a challenge that any developer has to take care of when building an AI agent. In fact, managing the context is one of the hardest problems when working with AI agents and there are many companies like SuperMemory, Mem0 which have invested both resources and time to solve this problem. - Source: dev.to / 24 days ago
Memory. I use Supermemory for this. Before, Pipa loaded context files and knew to update them. A memory tool adds teammate-like recall: goals, preferences, latest business state, and small details that should carry across runs. Good memory tools also know how to supersede and delete memories, which matters once the agent has more autonomy. - Source: dev.to / 2 months ago
We wire everything up with Vision Agents as the voice agent framework, Stream for WebRTC audio and video, OpenAI Realtime for speech in and speech out, Anam so the agent shows up as a face on the video, and Supermemory so answers come from search over your uploaded documents instead of guesswork. The code stays small and most of the behavior lives in one registered function that asks the memory store for relevant... - Source: dev.to / 3 months ago
My friends and I are working on https://supermemory.ai, an AI second brain to help you remember content from saved webpages and notes. - Source: Hacker News / almost 2 years ago
Mem - Capture and access information from anywhere
GitHub Codespaces - GItHub Codespaces is a hosted remote coding environment by GitHub based on Visual Studio Codespaces integrated directly for GitHub.
Mem0 - Your private, local memory layer for all AI tools
Gitpod - One click dev environment for GitHub
OpenMemory - Give AI agents long-term memory.
replit - Code, create, andlearn together. Use our free, collaborative, in-browser IDE to code in 50+ languages โ without spending a second on setup.