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ai-agent

vmlx

vMLX - JANGTQ Uber Compressed MLX Models - L2 Disk Cache (survives restart) + L1 Paged (super fast ttft) + Hybrid SSM Scheduler + Cont Batching + etc!
595 stars67 forksPythonUpdated 6/2/2026100% free ยท open source

About this skill

vMLX - JANGTQ Uber Compressed MLX Models - L2 Disk Cache (survives restart) + L1 Paged (super fast ttft) + Hybrid SSM Scheduler  + Cont Batching + etc!

Topics

anthropic-api
kvcache-compression
kvcache-optimization
kvcache-reuse
llm
lmstudio
macbook
mcp-server
mlx
mlxllm
mlxstudio
omlx
omlx-alternative
openai-api
openclaw
openclaw-agent
persistent-memory
prefix-cache
vmlx
What's inside โ€” free to inspect
No purchase needed

Read the entire source before you build โ€” unlike paid marketplaces that hide it behind a buy button.

9
top-level files
8
folders
69.4M
repo size
Apache-2.0
license
Key files
AGENTS.md
README.md
File tree
.github/
assets/
bench/
docs/
notes/
panel/
tests/
vmlx_engine/
.gitignore
AGENTS.md
CHANGELOG.md
latest.json
LICENSE
pyproject.toml
pytest.ini
README.md
uv.lock
Quick Actions
Details
Creator
jjang-ai
Language
Python
Category
ai-agent
Published
2/18/2026

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