Two months ago I realized my Claude Max subscription was idle 23 hours a day. So I built a 24/7 AI operations system around it.
What it does
- 11 specialized AI teams — Infra, Trend, Record, Brand, Academy, Career, Standup, Security, Finance, Recon, Council
- 30 automated cron tasks — morning standups, market alerts, code audits, memory management, log rotation
- Real-time Discord chat — ask questions, Claude answers instantly in threads with context memory
- 4-layer self-healing — crashes auto-diagnose using Claude, recover in ~30 seconds
- 98% context compression — custom MCP server keeps sessions running 3+ hours
The key insight
claude -p is Claude Code's headless CLI, included in the Max subscription. Spawn unlimited processes at zero incremental cost.
The Context Intelligence Gateway (Nexus CIG)
Built a local MCP server that sits between Claude and every system call. Instead of dumping raw logs/JSON into context, it classifies output type, extracts signal, drops noise.
Result: 315 KB → 5.4 KB (98%). Sessions run 3+ hours vs 30 min without it.
Numbers after 2 months
- $0 extra per month (Max subscription only)
- 99.7% uptime (14 incidents, 9 resolved autonomously)
- 3+ hour sessions with Nexus CIG active
- 60/61 E2E tests passing
GitHub
- Main repo: https://github.com/Ramsbaby/claude-discord-bridge
- Self-healing: https://github.com/Ramsbaby/openclaw-self-healing (28 ⭐)
- Memory CLI: https://github.com/Ramsbaby/openclaw-memorybox
Would love to hear if anyone else is running Claude agents 24/7. What's your approach to context management?
Top comments (0)