I deployed a flight search app in 60s without writing a line of code
AI deploys apps to VMs automatically, but the demo is borrowed from their App Store.
LibertAI agent — autonomous AI agent deployed on Aleph Cloud
Persistent 24/7 agent VMs with open-model inference dodge API keys, but orchestration is standard.
Developers building always-on AI agents; teams deploying autonomous bots for monitoring, research, code review
Modal · Anthropic Agents API · LangChain agents
There are 61 agents running on the platform right now across 578 conversations, with 99.7% uptime. Each agent gets its own VM with its own filesystem, database, and HTTPS endpoint. Inference runs through open models (Qwen3 Coder, GLM-4.7) so there are no API keys to manage from OpenAI or Anthropic.
Agents have persistent memory across conversations, a heartbeat system for background tasks, and real tools: bash, file operations, web fetch, web search, and the ability to spawn subagents for parallel work. You can build code review bots, research agents, personal assistants, monitoring tools — anything that benefits from running continuously.
Free tier is 2 agents, no credit card. Deployment takes under 5 minutes.
- App: https://app.liberclaw.ai - Source of the agents: https://github.com/Libertai/liberclaw-agent
If there are requests and an appetite for it, I can opensource the platform code too (it manages a pool of prepared VMs on aleph cloud and gives them to users as they request one).
AI deploys apps to VMs automatically, but the demo is borrowed from their App Store.
AI that builds its own ClickHouse instance and extends itself with Discord.
Persistent AI coworkers beat stateless chatbots, but agent orchestration is crowded territory.
Managed multi-agent workspace, but ChatGPT, Claude Projects, and Anthropic's built-in task delegation already solve this.
VM isolation for coding agents beats container-based sandboxing for true environment separation.
Fixes real agent deployment pain — but Replicate, Modal, and Railway already do this well.