[BUG] Memory leak: Claude Code RSS grows from 500MB to 4.6GB+ within minutes
Resolved 💬 5 comments Opened Apr 12, 2026 by mdtusersh Closed Apr 13, 2026
Preflight Checklist
- [x] I have searched existing issues and this hasn't been reported yet
- [x] This is a single bug report (please file separate reports for different bugs)
- [x] I am using the latest version of Claude Code
What's Wrong?
Claude Code process consumes RAM continuously and grows unbounded (~500MB/minute) until the system runs out of memory. The process starts at ~500MB RSS but climbs to 4.6GB+ within 6 minutes of normal conversation. Running /exit immediately frees all memory. Restarting claude resets to ~500MB but the growth resumes immediately. This was not happening before — started recently.
What Should Happen?
Memory usage should stabilize after initial load, not grow unbounded at ~500MB/minute during a normal conversation.
Error Messages/Logs
No error messages — the process silently consumes memory until the system runs out.
Steps to Reproduce
- Run
claudein any project directory - Send a few normal messages (no large file reads, no MCP servers, simple text conversation)
- Monitor with
ps aux | grep claudeevery 1-2 minutes - Observe RSS growing ~500MB/minute:
- Fresh start: 483 MB (3.0%)
- ~2 minutes: 2.3 GB (14.5%)
- ~4 minutes: 3.5 GB (21.7%)
- ~6 minutes: 4.6 GB (28.8%)
- System RAM went from 4.8 GB → 9.0 GB used, solely from the claude process
/exitimmediately frees all memory back to normal
Claude Model
Opus
Is this a regression?
Yes, this worked in a previous version
Last Working Version
Not sure of exact version, but this was not happening before updating to 2.1.100
Claude Code Version
2.1.100 (Claude Code)
Platform
Anthropic API
Operating System
Ubuntu/Debian Linux
Terminal/Shell
Other
Additional Information
- No MCP servers configured
- No hooks configured
- Clean git repo (no uncommitted changes)
- Node.js v25.8.0
- Ubuntu Linux 25.04 (kernel 6.17.0-20-generic)
- System RAM: 16GB
- No other unusual processes running
- The leak happens consistently across fresh sessions
- Continuous network activity observed during the leak
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