Automating OAuth Token Refresh for Bots Using Claude Code

A Reddit user has shared a solution for eliminating OAuth token expiration issues in automated bots. The user reports running nine bots continuously for over a week without receiving the "Your OAuth token has expired" notification.
How It Works
The solution involves creating a prompt to configure Claude Code to automatically refresh OAuth tokens on a scheduled basis. According to the source, the refresh occurs every 8 hours, which prevents tokens from expiring and keeps bots running without interruption.
The user specifically mentions that this approach eliminates the problem of assigning bots to work overnight only to find they've stopped and are waiting for manual token refresh in the morning.
Implementation Details
The source provides a video demonstration and a link to the prompt used for configuration. The video URL is: https://youtu.be/sP5zaazJ3KU?si=kGJpfid1AdYoYXVV
This approach is particularly useful for developers running automated bots or services that rely on OAuth authentication and need to maintain continuous operation without manual token management.
📖 Read the full source: r/openclaw
👀 See Also

Implementing a Recurring Meditation System for OpenClaw Agent Coherence
A developer shares a structured reflection system for OpenClaw agents using a specific file chain including meditations.md, reflections/*.md, and identity files. The nightly loop involves reviewing and appending to these files to promote insights into durable behavior changes.

How OpenCLAW Memory Actually Works: Fixing Agent 'Forgetting'
OpenCLAW agents don't have persistent memory between conversations - they reconstruct context from files like SOUL.md, USER.md, and MEMORY.md each time. Common 'forgetting' issues stem from old sessions, unstructured memory files, and storing important info in chat history instead of permanent files.

OpenClaw Onboarding: How to Train Your AI Agent Right

Practical Lessons from Building On-Device AI in React Native
A developer shares specific technical details from building a React Native app with on-device LLMs, image generation, voice transcription, and vision AI, including memory management strategies, library choices, and performance benchmarks.