nicedreamzapp/claude-code-local

Run Claude Code 100% on-device with local AI on Apple Silicon. MLX-native Anthropic-API server. 6 fighters incl. Muse-Glimmer 30B (now multimodal — reads images, abliterated), Gemma 4 31B, Qwen 3.5 122B (65 tok/s), DeepSeek V4 Flash (1M ctx). Private, offline, airgap-ready. Built for NDA / legal / healthcare workflows. observed · 2026-08-28

github.com/nicedreamzapp/claude-code-local · homepage · Python · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

77/100

Activity 99
Release rhythm 87
Longevity 11

Flags: young

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

gap_med: 53.0
age_days: 160
days_rel: 11
days_push: 11
n_releases_24m: 3

Full methodology

Adoption not part of the score

3240 stars · 619 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

An MLX-native server for Apple Silicon that exposes an Anthropic-API-compatible endpoint so Claude Code and similar agents can run entirely on-device with local models. It bundles a curated lineup of local LLMs (including multimodal and long-context options), plus voice mode, a browser agent, and MCP server support, with no cloud dependency.

Use cases

run claude code locally without an api key
use ai coding agents offline on a mac
keep code private under NDA with on-device llm
serve an anthropic-compatible api from local models
airgapped ai assistant for legal or healthcare work
run local llm inference on apple silicon with mlx
replace cloud claude usage limit with local models

When to choose

you need Claude Code or agent workflows fully offline and private on Apple Silicon
you want an Anthropic-API-compatible local endpoint without code changes
you handle sensitive data (NDA, legal, healthcare) that cannot leave the device

When to avoid

you need maximum model quality and cloud connectivity is acceptable
you run on non-Apple hardware, since it is MLX/Apple Silicon specific
you need a managed, scalable multi-user inference service

Facets

service · maturity active

llm-inference http-server api-framework agent-framework mcp chatbot speech-recognition large-language-models artificial-intelligence privacy self-hosted developer-tools python self-hosted cli anthropic-api-compatible mlx apple-silicon on-device-ai offline-ai airgap claude-code local-llm voice-mode browser-agent ai-agents macos gpu

2 sources

readme: https://github.com/nicedreamzapp/claude-code-local · fetched 2026-08-28 · 337327fc4fd7
homepage: https://www.youtube.com/@nicedreamzapps · fetched 2026-08-29 · 44136fa355b3

Member repositories

Repository	Role	Health v2
nicedreamzapp/claude-code-local	main	77

For agents

markdown · JSON · MCP: product_card(name="nicedreamzapp/claude-code-local")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem