vMLX - JANGTQ Uber Compressed MLX Models - L2 Disk Cache (survives restart) + L1 Paged (super fast ttft) + Hybrid SSM...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Still active enough to matter. Good candidate for a fast stack test instead of a long evaluation loop.
Copy the install, test the workflow, then decide if it earns a permanent slot.
You can test this quickly and remove it cleanly if it misses.
GitHub health 42/100. no security policy. 61 open issues make this testable, but not something to trust blind.
AI Agent
OpenClaw
Model
Multiple
Fastest way to find out if vmlx belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
claude mcp add vmlx -- npx vmlxRun this first. You will know quickly if the workflow earns a permanent slot.
claude mcp remove vmlxNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude.json └─ mcp_servers/ └─ vmlx ← registers here
vMLX - JANGTQ Uber Compressed MLX Models - L2 Disk Cache (survives restart) + L1 Paged (super fast ttft) + Hybrid SSM Scheduler + Cont Batching + etc!
Source: GitHub repository
Source check: July 18, 2026
Upstream commit: July 18, 2026
Repository state: Not marked archived
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