What It Does

OpenClaw Worker is a lightweight Docker container that wraps the Alpine-based OpenClaw image for seamless deployment on Railway. It bridges the gap between OpenClaw's core functionality and Railway's containerized environment by providing a shell-based startup layer that handles configuration injection, token management, and proper process initialization. This eliminates manual configuration steps and enables rapid, repeatable deployments of OpenClaw gateway instances on Railway's infrastructure.

Key Features

Base64-encoded configuration injection — Pass entire openclaw.json configs as environment variables, eliminating the need for config file management
Railway-optimized startup — Automatically binds to the correct gateway address and handles volume permission setup
Bearer token authentication — Built-in support for API gateway token configuration via environment variables
Model provider integration — Pre-configured OpenRouter API key support for LLM backend connectivity
Alpine-based lightweight image — Inherits minimal footprint from alpine/openclaw:latest for fast boot and efficient resource usage
Shell-based entrypoint — Flexible boot.sh script allows customization and debugging of startup behavior

Quick Start

Clone the repository and build the Docker image:

git clone https://github.com/edholofy/openclaw-worker.git
cd openclaw-worker
docker build -t openclaw-worker .

Deploy to Railway using the Railway CLI or web dashboard. Configure these required environment variables in your Railway project:

OPENCLAW_CONFIG_B64 — Your base64-encoded openclaw.json configuration
OPENCLAW_GATEWAY_TOKEN — Bearer token for gateway API authentication
OPENROUTER_API_KEY — API key for your model provider
RAILWAY_RUN_UID — Set to 0 for proper volume mount permissions

Railway will automatically detect the Dockerfile and deploy the container. Logs stream in real-time through the Railway dashboard.

Environment Variables Reference

Variable	Required	Purpose
`OPENCLAW_CONFIG_B64`	Yes	Base64-encoded openclaw.json configuration passed at runtime
`OPENCLAW_GATEWAY_TOKEN`	Yes	Bearer token for API gateway authentication and authorization
`OPENROUTER_API_KEY`	Yes	API key for OpenRouter model provider backend
`RAILWAY_RUN_UID`	Yes	Set to 0 to enable proper file system permissions for volume mounts

Best Use Cases

Managed AI gateway deployment — Run a production OpenClaw gateway without managing infrastructure directly
Multi-tenant model routing — Configure multiple gateway instances across Railway projects for isolated model access
Rapid prototyping — Spin up test environments with different configurations in seconds using Railway's git integration
CI/CD integration — Deploy OpenClaw as part of larger AI application pipelines with Railway Actions
Development and staging — Maintain feature parity between local development and cloud-hosted environments
Cost-optimized inference — Leverage Railway's pay-per-use pricing for variable traffic patterns

Architecture & Design

The worker uses a three-layer approach: the Alpine base image provides minimal OS footprint, the OpenClaw image adds the AI gateway runtime, and the custom boot.sh script decodes configuration and initializes the process. This design allows updates to the underlying OpenClaw image to propagate automatically while maintaining Railway-specific startup logic. The use of base64 encoding for configuration sidesteps Railway's environment variable limitations and enables complex JSON payloads without escaping issues.

Integration Points

OpenClaw Worker connects to OpenRouter as the default model provider backend, enabling access to dozens of language models through a single gateway. Railway's native PostgreSQL and Redis integrations can supplement OpenClaw's storage and caching needs via additional environment variables. The bearer token authentication pattern integrates seamlessly with standard API gateway tooling and reverse proxies.

Limitations & Considerations

The project is actively maintained but has minimal GitHub visibility (0 stars/forks as of February 2026). Configuration must be base64-encoded before deployment, which adds a preprocessing step. Scaling beyond Railway's single-container limits requires manual orchestration or migration to Kubernetes. The OpenRouter API key is required; alternative model providers require configuration changes to the underlying OpenClaw setup.

Verdict

OpenClaw Worker is a pragmatic solution for developers seeking to deploy AI gateway infrastructure on Railway without wrestling with configuration files or permission issues. Its environment-variable-first design philosophy aligns perfectly with Railway's deployment model, and the Alpine base keeps resource costs minimal. While the project lacks widespread adoption markers, it solves a genuine problem for anyone running OpenClaw workloads on managed container platforms. Best suited for teams already invested in Railway's ecosystem or those prototyping multi-model routing solutions quickly. Mission Control: OpenClaw Project Dashboard Railway Docker deployment

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