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vmlx

vmlx

Active·★ 551·Apache-2.0·Updated 2026-05-24

★ LLM Infra★ Dev Tooling

vMLX - Cont Batch, Prefix, Paged, KV Cache Quant, VL - Powers MLX Studio. Image gen/edit, OpenAI/Anth

vMLX is a local AI inference engine for Apple Silicon Macs that runs LLMs, VLMs, and image generation models. It provides OpenAI and Anthropic compatible APIs with advanced features like continuous batching, prefix caching, KV cache quantization, speculative decoding, and tool calling. No cloud or API keys required, ensuring data privacy.

#anthropic-api#kvcache-compression#kvcache-optimization#kvcache-reuse#llm#lmstudio#macbook#mcp-server

$ Install

$ pip install vmlx

↗ Visit site ★ GitHub

01

Features

01Continuous Batching for efficient concurrent request handling

02Prefix Cache with memory-aware and paged KV cache

03KV Cache Quantization to q4/q8 for memory savings

04Speculative Decoding for 20-90% speedup

05Tool Calling with auto-detected parsers for major model families

02

Compatibility

Apple Silicon Mac

macOS (M1/M2/M3/M4)

Verified via docs

03

Quick start

1

$ pip install vmlx

04

Use cases

↳Run local AI assistants with chatbot and agentic coding capabilities

↳Generate and edit images locally using Flux models

↳Deploy a fully local API server compatible with OpenAI and Anthropic SDKs

05

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Related searches

vmlx Alternatives Best Vision / Multimodal Tools 2026 Open Source Vision / Multimodal vmlx Tutorial vmlx Vs Competitors anthropic-api kvcache-compression kvcache-optimization

Comments

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D
Dylan GarciaMar 31, 2026
Setup was straightforward, seamless config and running in minutes. Integrates well with existing cont setups.
A
Avery AndersonMar 12, 2026
Used this for reliable automation — reliable under load — image gen/edit, openai/anth. The maintainers are responsive to issues.
E
Emerson GarciaMar 11, 2026
Setup was straightforward, reliable config and running in minutes — image gen/edit, openai/anth. Integrates well with existing batch setups.
P
Peyton DavisFeb 28, 2026
Used this for clean automation — reliable under load. Integrates well with existing vmlx setups.

On this page

01Features 02Compatibility 03Quick start 04Use cases 05Alternatives

Stats

GitHub Stars★ 551

Last commit6d ago

StatusActive

LicenseApache-2.0

CategoryVision / Multimodal

Trend (30d)

+22↑ 0.6%

Links

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