jjang-ai/vmlx
PythonApache-2.0activerising
Health
vMLX - JANGTQ Uber Compressed MLX Models - L2 Disk Cache (survives restart) + L1 Paged (super fast ttft) + Hybrid SSM Scheduler + Cont Batching + etc!
Health Breakdown
Activity25
Community25
Maintenance13
Popularity25
#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
Should you contribute to jjang-ai/vmlx?
jjang-ai/vmlx has a FoundDev health score of 88/100, which puts it in the active-and-maintained tier. The maintainer team is shipping recently, issues are being closed, and a PR you open this week has a realistic chance of being reviewed.
Last push was 2 days ago — that signals an actively maintained project. New issues are likely to get a maintainer response within days. The project is written primarily in Python, so prior Python experience will shorten ramp-up.
Licensed under Apache-2.0, a standard OSI-approved license — safe to contribute to under normal employer IP policies.
Community
PythonApache 2.0
activerising
2d ago
