introducing 🐺 AlphaClaw, the ultimate setup harness for @openclaw. open-source, self-managed, free-to-use, with no lock-in.
AlphaClaw makes OpenClaw setup and maintenance easier by providing an elegant GUI that wraps OpenClaw’s CLI.
📅 Google Workspace OAuth & pubsub built in w/ gog-cli 🔄 Auto-backup to GitHub 🧱 Prompt hardening reduces agent drift 🩺 Drift Doctor analyzes your prompts and workspace for drift 💬 Telegram multi-topic workspace setup wizard 📂 Full file browser and editor, no SSH needed 🐕 Watchdog auto-detects crashes, self-heals gateway 🛠️ Manage env vars from the UI 🔑 Manage model keys & OAuth visually 🪝 Webhook creator & inspector with replay & debug 📊 Token usage & cost analytics built in ⬆️ One-click updates, no redeploy needed 📦 Import existing setup from GitHub
i didn’t build alphaclaw to replace openclaw or compete with it. openclaw is the best user-owned AI agent framework out there and more people should be able to use it without wrestling a CLI for two hours.
there are so many managed “deploy your AI in seconds” product. but they lock you into their platform. if they pivot, shut down, or jack up pricing, your agent goes with it.
alphaclaw gives you that same one-click simplicity, but everything runs on your infra with your data. no proprietary backend. no config hostage. if railway disappears tomorrow, you still have a standard openclaw instance backed up to your own github repo.
everything alphaclaw does, you could do manually. it’s just automation and UI on top of the real thing. outgrow it? disagree with its opinions? eject. your openclaw instance is still a standard openclaw instance.
to make it convenient, i’ve created both a one-click deploy template on railway and render to start quickly. make sure you have 8GB of ram on your instance.
look forward to your feedback and to building this out with the @openclaw community! 🦞
feature deep-dive in the 🧵
