Lattice
연구를 위한 작업공간
채팅으로 PDF·Word 문서를 이해하고 파일로 작업을 수행합니다 Ancilo는 로컬 AI를 쉽고 개인적으로 무료·오픈소스로 제공합니다
Chat, understand PDFs and Word documents, and get work done with your files. Ancilo makes local AI easy. Private, free and open source.
생산성Rust · TypeScriptGitHub @stefangrunert온라인운영자 미확인
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Local AI made simple – a private chat, a coding agent, a model API, and a worker Claude Code and Codex delegate to.
README 전체를 불러오는 중입니다. 아래는 저장된 발췌입니다.
Local AI made simple – a private chat on your own computer, a coding agent, a model API for any tool, and a worker that Claude Code and Codex hand tasks to.
Ancilo runs open models (e.g. Qwen) on your Mac with llama.cpp. It picks a model that fits your computer, downloads it, starts it – and makes sure it never makes your computer unusable. Everything stays on your machine unless you explicitly turn on web search or set up a cloud model.README 전문 보기 ↗Local AI made simple – a private chat on your own computer, a coding agent, a model API for any tool, and a worker that Claude Code and Codex hand tasks to.
Ancilo runs open models (e.g. Qwen) on your Mac with llama.cpp. It picks a model that fits your computer, downloads it, starts it – and makes sure it never makes your computer unusable. Everything stays on your machine unless you explicitly turn on web search or set up a cloud model.
/v1/chat/completions, /v1/responses) and Anthropic-compatible (/v1/messages) on 127.0.0.1, with a reliability pipeline that makes small models call tools correctly.Status: early, released. Signed and notarized downloads for macOS on Apple Silicon; the app updates itself (with your click). The CLI and daemon also run on Linux – build them from source.
Download Ancilo.dmg (macOS 13 or later, Apple Silicon), open it and drag Ancilo into Applications. Open Ancilo – the setup takes it from there. All versions: Releases · Changelog.
Requirements: macOS on Apple Silicon, Rust (see rust-toolchain.toml), Node 22+, just, cargo-nextest.
git clone https://github.com/stefangrunert/ancilo.git
cd ancilo
just app-install # builds Ancilo.app, installs it to /Applications, links `ancilo` into ~/.local/bin
Open Ancilo from Applications – the setup takes it from there.
The same from the terminal:
ancilo setup # a chat model that fits this machine + an embedding model
ancilo add hf.co/unsloth/Qwen3-4B-GGUF # or add a model of your choice
ancilo connect claude # let Claude Code delegate to Ancilo
ancilo ui # open the app in the browser
just build # release build of the `ancilo` binary
just verify # formatting, lints, all deterministic tests, app checks
just app-e2e # the app in Chromium and WebKit against a real daemon with fakes
just test-real # product checks with real small models (~10–15 min; downloads them once)
just bench-reliability # the reliability benchmark (~45 min) – when working on the pipeline
just release # build, sign, notarize and draft a release (maintainers)
just verify runs offline and without a GPU: every external dependency – Hugging Face, models, web search providers, Claude Code and Codex – has a deterministic fake. How the test tiers and releases fit together: Contributing.