AgentOS
One app to run all your AI agents — from your phone/desktop
What it does
I'm not a developer. I built AgentOS entirely using Claude Code — a 3-platform AI Agent client (Android/IOS, macOS/Windows/Linux desktop, server) in about 20 days. What it does: - Connect multiple AI agents (OpenClaw, CoPaw, built-in) from one app - Control your computer from your phone — say "run ls ~/Desktop" and get results back - skills market support mcp/http/.md Think of it as the next-gen Poe — not just multi-model chat.100% open source (Apache 2.0).
Does the same job
all alternatives →
Claude Code Desktop App RedesignedApr 2026 · claude.com · ▲565Run parallel coding agents from one desktop workspace
AgentOne DesktopAug 2026 · agent-one.dev · ▲78Automate boring work. Extensible and free desktop AI agent.
- AOAgent-of-empires: OpenCode and Claude Code session managerJan 2026 · github.com · ▲118
Hi! I’m Nathan: an ML Engineer at Mozilla.ai: I built agent-of-empires (aoe): a CLI application to help you manage all of your running Claude Code/Opencode sessions and know when they are waiting for you. - Written in rust and relies on tmux for security and reliability - Monitors state of cli sessions to tell you when an agent is running vs idle vs waiting for your input - Manage sessions by naming them, grouping them, configuring profiles for various settings I'm passionate about getting self-hosted open-weight LLMs to be valid options to compete with proprietary closed models. One…
- 2C20+ Claude Code agents coordinating on real work (open source)Feb 2026 · github.com · ▲53
Single-agent LLMs suck at long-running complex tasks. We’ve open-sourced a multi-agent orchestrator that we’ve been using to handle long-running LLM tasks. We found that single LLM agents tend to stall, loop, or generate non-compiling code, so we built a harness for agents to coordinate over shared context while work is in progress. How it works: 1. Orchestrator agent that manages task decomposition 2. Sub-agents for parallel work 3. Subscriptions to task state and progress 4. Real-time sharing of intermediate discoveries between agents We tested this on a Putnam-level math problem, but the…
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