Running Claude Code 24/7 as a Background Agent — 2 Weeks of Experience

📅 Published: February 8, 2026🔗 Source
Running Claude Code 24/7 as a Background Agent — 2 Weeks of Experience
Ad

A Reddit user shared their experience running Claude Code 24/7 as a background agent for two weeks. Their setup involves an Ubuntu VPS running OpenClaw connected to a Telegram bot for notifications and commands.

The Setup

  • Ubuntu VPS with OpenClaw running continuously
  • Telegram bot for async communication
  • Background tasks: code review, refactoring, automated deploys

Key Learnings

  • Async workflow beats micro-managing — batch requests work better
  • Context management is crucial — agents can go down rabbit holes
  • Cost monitoring matters — set spending limits early

Challenges Encountered

  • Context window management for long-running tasks
  • Agents sometimes pursue tangential problems (rabbit holes)
  • Balancing autonomy vs. oversight

Why This Matters

This experience highlights the growing trend of utilizing AI agents for continuous operations in software development. As teams increasingly adopt automation, understanding the nuances of managing these agents becomes crucial for maximizing productivity and efficiency in tech workflows.

Ad

Key Takeaways

  • Implementing an async workflow can significantly reduce the overhead of managing multiple tasks.
  • Effective context management is essential to prevent AI agents from diverging into less relevant areas.
  • Monitoring costs and setting limits early can prevent unexpected expenses in cloud-based operations.
  • Finding the right balance between agent autonomy and human oversight is key to successful integration.

Getting Started

To set up a similar system, begin by provisioning an Ubuntu VPS and installing OpenClaw. Next, create a Telegram bot for seamless communication. Define the tasks you want the AI agent to handle, such as code reviews or automated deployments, and configure the necessary scripts. Finally, establish monitoring tools to track performance and costs, ensuring a smooth operation over time.

The author is looking for others with similar setups to share experiences and best practices.

Source: Reddit user on r/ClaudeAI

📖 Read the full source: Reddit r/ClaudeAI

Ad

👀 See Also

Mac Studio local LLM loadout: GLM 5.1, Kimi K2.6, and what's working for coding with Claude Code
Use Cases

Mac Studio local LLM loadout: GLM 5.1, Kimi K2.6, and what's working for coding with Claude Code

A developer shares their May 2026 Mac Studio (M3 Ultra) setup with quantized GLM 5.1 (380GB, 17 tps decode), Kimi K2.6 (460GB, 21 tps decode), and notes on Minimax 2.7, Gemma 4 31B, Qwen 3.5 9B, and pending Deepseek/Mimo support.

OpenClawRadar
Reddit user pulls health data from 3 sources with OpenClaw for cardiology appointment
Use Cases

Reddit user pulls health data from 3 sources with OpenClaw for cardiology appointment

A Reddit user used OpenClaw to merge export files from a fitness watch, text messages, and handwritten notes into a doctor-requested Excel workbook. OpenClaw resolved date conflicts, extracted medication info, and emailed the result without leaking financial data.

OpenClawRadar
AI-Powered E-commerce Store Recovers from 3AM Crash Without Human Intervention
Use Cases

AI-Powered E-commerce Store Recovers from 3AM Crash Without Human Intervention

An AI-operated e-commerce store experienced an unhandled exception that took down the order pipeline at 3am. The system autonomously detected the failure, identified the root cause, attempted a fix, verified recovery, and resumed operations before morning.

OpenClawRadar
Non-developer builds resale scoring tool with Claude and eBay API
Use Cases

Non-developer builds resale scoring tool with Claude and eBay API

A detective with no software engineering background built FlipIQ, a local Flask/SQLite tool that uses Claude to analyze eBay sold data and generate confidence scores for resale items. The tool includes photo ID features and runs free with an eBay API key and Ollama.

OpenClawRadar