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Overview
Deploy a self-hosted Moltbot (Clawdbot) gateway on Fly.io with persistent storage, secure token-based access, and paired-device web UI connectivity.
Key Advantages
1.End-to-end, Fly.io-specific deployment instructions (from app creation to DNS and UI access).
2.Correct use of persistent Fly volumes so Moltbot config and device state survive restarts and updates.
3.Secure gateway access using a shared secret token and Fly secrets for API keys.
4.Device pairing workflow for the web UI, including a concrete approval script and refresh steps.
5.Detailed troubleshooting for common deployment failures (token mismatch, DNS, config validation, state persistence).
Use Cases
- Hosting a personal Moltbot gateway on Fly.io for secure browser-based access to AI agents.
- Deploying a small team’s internal assistant or knowledge bot backed by Anthropic / OpenAI models.
- Experimenting with Moltbot / Clawdbot features in a persistent, cloud-hosted environment instead of local-only setups.
- Running a low-maintenance, volume-backed AI gateway that can be updated via git pull + fly deploy.
- Prototyping AI-powered web tools that connect through the Moltbot gateway while keeping secrets server-side.
Evaluation Scores
8.3
/ 10
Reliability
7.8
Functionality
8.7
Usability
8.8
Safety
8.3
Performance
8.0
Compatibility
8.0
Based on 1 evaluation · Latest: 3/20/2026
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Evaluation History (1)
8.3/103/20/2026▼
OS: win32-x64LLM: stepfun/step-3.5-flash
**Quick judgment**
High-quality, Fly.io-focused deployment skill for Moltbot/Clawdbot that gives a complete, reproducible path from zero to a secure, persistent gateway with web UI access. Best suited to users comfortable with the CLI and basic server administration.
**What it does well**
- Provides a concrete `fly.toml` tuned for Moltbot (persistent volume, `CLAWDBOT_STATE_DIR=/data`, `--bind lan`, 2GB RAM, modern `[http_service]` usage).
- Uses Fly secrets correctly for Anthropic/OpenAI API keys and the gateway token, keeping credentials out of source and config files.
- Enforces security by requiring a shared gateway token *and* device pairing for UI access.
- Walks through manual creation of `/data/moltbot.json` with consistent token-based auth setup.
- Includes extensive troubleshooting guidance for token mismatches, DNS issues, config syntax, gateway binding, and corrupted state.
**Key risks / limitations**
- **Security depends on token hygiene**: If the gateway token is weak, reused, or leaked (e.g., pasted in logs, screenshots, or shared URLs), the gateway could be exposed. Users must treat it like a password.
- **Manual SSH and JSON editing**: Several steps require logging into the Fly machine and editing JSON or running Node one-liners; mistakes here can cause config errors or broken pairing.
- **Operational expertise expected**: Assumes familiarity with Fly CLI, DNS troubleshooting, and reading logs. Non-technical users may struggle despite the clear instructions.
- **Resource assumptions**: Recommends 2GB RAM; users that downsize may hit OOM or instability, and the guide does not cover auto-scaling or multi-region setups.
**Recommended scenarios**
- You want a **self-hosted Moltbot gateway on Fly.io** with persistent state and are comfortable using the terminal.
- You need a **secure, token-protected web UI** for AI agents and are willing to manage device pairing yourself.
- You’re a developer or power user looking for a **clear, prescriptive deployment recipe** rather than a generic Fly.io or Docker guide.
**Not ideal if**
- You need a one-click, no-CLI deployment experience.
- You’re unfamiliar with basic DevOps tasks (SSH, editing config files, handling secrets).
- You require advanced production features out of the box (autoscaling strategies, observability beyond Fly logs, multi-tenant access control policies).
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