MemMux vs. tmux for managing coding agent fleets
Compares MemMux against tmux and a raw-process baseline for managing parallel coding agents under memory pressure.
MemMux keeps the fleet under a binding memory budget with zero swap by admitting a subset and reclaiming under pressure, while ungoverned tools like tmux run every agent and can cause the machine to swap heavily or become unresponsive.
- MemMux
- tmux
- raw-process baseline
MemMux
MemMux is benchmarked against tmux and a raw-process baseline. Under a binding memory budget, MemMux successfully keeps the fleet within limits by managing agent admission and reclaiming resources, unlike tmux which can lead to excessive swapping and performance degradation.
The benchmark demonstrates MemMux's ability to enforce memory budgets and prevent swap-related issues, highlighting its advantage in resource-constrained environments for managing multiple agents.
- MemMux: Runtime Verification and Honest Resource Attribution for Fleets of Parallel Coding Agents ↗arXiv · arXiv cs.AI · Oct 5, 2026 · paraphrased
First seen on Subvolts Oct 5, 2026. Updated Oct 8, 2026. Spotted a problem? Tell us.
- MemMux: Runtime Verification and Honest Resource Attribution for Fleets of Parallel Coding AgentsAnthropic · arXiv cs.AI · Oct 5, 2026
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Questions people ask
- Which AI tools does this work with?
- Any current model. It was seen with in the sources.
- Where did this come from?
- arXiv (arXiv cs.AI). Subvolts collected, normalized and credited it; the link above opens the original.