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With AI, Everyone is a Dev. EveryDev.ai © 2026
    1. Home
    2. Developers
    3. Jun Kim

    Jun Kim

    Building high-performance AI tools and data infrastructure for local execution, specifically optimized for Apple Silicon hardware.

    Visit Website

    At a Glance

    1Tool Listed
    2Products
    7Capabilities
    Discussions
    Seoul, KoreaHeadquarters
    2026Est.
    1Employee
    Focus Areas
    Local Inference
    AI Infrastructure
    AI Coding Assistants
    Connect
    Latest News
    oMLX v0.4.5.dev1 released with major speedups for GLM-5.2 and MiniMax M3Jun 28, 2026
    oMLX v0.4.4 stable release addresses macOS 27 compatibility issuesJun 16, 2026
    Markets
    • AI Developers
    • Apple Silicon users
    • Open-source contributors
    • Data Engineers

    AI Tools by Jun Kim

    (1)
    View oMLX
    oMLX tool icon

    oMLX

    LLM Inference Server for Apple Silicon

    Local InferenceAI InfrastructureAI Coding Asst.

    Discussions

    No discussions yet

    Be the first to start a discussion about Jun Kim

    Latest News

    06/28/2026

    oMLX v0.4.5.dev1 released with major speedups for GLM-5.2 and MiniMax M3

    github.com
    06/16/2026

    oMLX v0.4.4 stable release addresses macOS 27 compatibility issues

    github.com
    06/08/2026

    Native MarkItDown support added to oMLX for document processing

    github.com
    05/01/2026

    oMLX crosses 17,000 GitHub stars within months of launch

    github.com

    Products & Services

    2
    oMLX
    2026-02-13

    An open-source LLM inference server for Apple Silicon with continuous batching, SSD KV caching, and a native macOS menu bar app.

    Aside
    2024

    An AI-powered Chromium browser designed for productivity and live conversation intelligence.

    Market Position

    oMLX competes with local LLM servers like Ollama and LM Studio, distinguishing itself through deep optimization for Apple Silicon (MLX), native macOS application design, and advanced features like continuous batching and SSD-based KV cache persistence which are critical for coding agents.

    Leadership

    Founders

    JK

    Jun Kim (Heejun Kim)

    Global business planning at a major Korean food company (data infrastructure design); Founding Engineer & Backend Team Lead at Modhaus; Co-founder & CEO at Aside (YC F25).

    Executive Team

    JK

    Jun Kim (Heejun Kim)

    Creator & Lead Developer

    Background in global business planning and data infrastructure; former Founding Engineer at Modhaus; CEO of Aside.

    Founding Story

    Jun Kim started oMLX to address the limitations of existing local LLM tools on macOS, particularly focusing on solving KV cache invalidation issues for coding agents and enabling massive context through SSD-tiered caching.

    Business Model

    Revenue Model

    Open Source (Apache 2.0)

    Target Markets

    Industries & Segments
    • AI Developers
    • Apple Silicon users
    • Open-source contributors
    • Data Engineers
    Use Cases
    • Local LLM inference
    • Coding agent backends
    • Multimodal document processing
    • Low-latency local AI assistants

    Quick Facts

    Headquarters
    Seoul, Korea
    Founded
    2026
    Employees
    1
    Office Locations
    Seoul
    San Francisco

    History & Milestones

    2026-06-28

    oMLX v0.4.5.dev1 released with GLM-5.2 and MiniMax M3 prefill speedups

    2026-06-16

    oMLX v0.4.4 stable released with macOS 27 compatibility

    2026-06-08

    oMLX v0.4.2 released with native MarkItDown document processing

    2026-02-13

    Initial public release of oMLX (v0.1.0)

    2025-11

    Co-founded Aside (AI browser startup, YC F25)

    Key Capabilities

    7
    Continuous batching for high throughput
    Paged SSD KV caching for near-infinite context
    Multi-model serving (LLM, VLM, embedding, reranker)
    Native macOS menu bar app for management
    OpenAI and Anthropic API compatibility
    Structured output support

    Integrations & Partnerships

    Platform Integrations

    • Apple Silicon (M1, M2, M3, M4)
    • macOS (14.0+ Sonoma, Sequoia, Tahoe)
    • Homebrew
    • GitHub
    • Claude Code
    • Cursor
    • OpenClaw

    Connect

    Website
    omlx.ai/me
    GitHub
    jundot
    X / Twitter
    jundotkim

    AI Topics

    3

    Jun Kim focuses on these topics:

    Local Inference(1)
    AI Infrastructure(1)
    AI Coding Assistants(1)
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