TreeMap
무료 오픈소스 디스크 사용량 시각화 도구로, 사각형 트리맵·중복 파일 탐색·디스크 가득 예측·정리 시 파일을 휴지통으로만 이동한다
당신과 AI 사이의 살아있는 매개체, 인간 직관과 자율 에이전트가 하나의 연속체로 융합되는 차세대 개인 OS
The Living Medium Between You and AI. The next-generation personal OS where human intuition and autonomous agents converge into a single, living continuum.
생산성Python · TypeScriptGitHub @openmousse온라인운영자 미확인
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개인 계정의 공개 저장소 소유자는 GitHub로 로그인해 운영자를 확인하고 소개를 직접 관리할 수 있습니다. 관리자 승인은 필요하지 않습니다.
로그인한 뒤 확인 파일을 만들어 이 저장소의 기본 브랜치에 30분 안에 커밋해 주세요. 다른 브랜치나 포크의 파일은 인정하지 않습니다. 파일을 올린 뒤 아래에서 확인하면 관리자 승인 없이 관리할 수 있습니다. 자격을 유지하려면 파일을 남겨 두세요.
로그인이 필요하면 로그인 화면으로 이동합니다. 로그인 후 이곳으로 돌아와 원하는 확인 버튼을 다시 눌러 주세요.
프로젝트 폴더에서 /nomorevibe verify를 실행하면 소유권을 확인하고 소개를 직접 관리할 수 있습니다.
1분 만에 확인하기Personal-agent app + starter packs for people who run their own OpenClaw. Self-hosted: your models, your data. · 给自己跑 OpenClaw 的人的个人 agent app 与基础功能包。自托管:自己的模型,自己的数据。
저장소 README에서 가져옴
README 전체를 불러오는 중입니다.
README 전문 보기 ↗The Living Medium Between You and AI. The next-generation personal OS where human intuition and autonomous agents converge into a single, living continuum.
Models are converging. How you see the world is not. Foundation models are converging; what sets your AI apart is the personal context you build over time, kept on your server and distilled into a memory tree that belongs to you.
OpenMousse is an open-source personal AI agent system that runs on your own server. It uses its own built-in engine by default, so you just pick a model after installing; it can also run on top of a claw (an agent runtime: OpenClaw, with presets for Hermes, nanobot, and Letta, or any agent with an OpenAI-compatible API). Clients: iPhone (TestFlight invitation), Android (download the APK), web (npm run web:build in app/, needs Node.js), and a desktop workspace (coming soon).
profile, recall, remember, recent, forget) without touching raw data; it also runs standalone as mousse-tree (tree/).python3 server/errand.py setup (needs Docker). Enforced three-tier tool permissions come with the built-in engine (coming soon).What you need. A Linux, macOS, or Windows (WSL 2) machine that stays on, with Python 3.11+, git, and curl. The built-in engine needs nothing else; to use a claw, have it running first (for OpenClaw: a model configured and Gateway running).
Install. Run one command:
curl -fsSL https://openmousse.ai/install | bash
What it asks. The installer asks for your language first, then asks everything else in that language only: which engine to use (pick a number; Enter takes the built-in engine, or choose OpenClaw, Hermes, nanobot, Letta, or the OpenAI-compatible URL of another agent), your timezone, and the assistant's name, followed by two optional settings: a notes folder already synced to this server (an Obsidian vault, for example), and whether to open public HTTPS through Tailscale Funnel (not asked without Tailscale; it lets Claude.ai, ChatGPT, and other MCP clients can reach the memory tree, shares get links, and friends can reach you; only those paths are opened, never the app's API). Dependencies install after the questions, and then you can choose the model, web search, and memory right in the terminal. Running the installer again is safe.
Connect your phone. Install the app: on iPhone through a TestFlight invitation, on Android by downloading the APK. Everything installs under ~/.openmousse, the server starts, and the terminal prints a one-time pairing link valid for 10 minutes alongside the server address and code.
Or let your agent install it. Send your agent:
Follow https://raw.githubusercontent.com/openmousse/openmousse/main/docs/connect.md to connect me to OpenMousse
Check status. Verify your setup at any time:
bash ~/openmousse/check.sh
Conversations, memory, and health data stay on your server, and model calls use your own accounts. What leaves the server by design is listed in Data and Security and the Privacy Policy.
/docs/<page>.md)| Folder | Description |
|---|---|
tree/ | The memory tree (mousse-tree), an MCP server |
app/ | The iPhone, Android, and web client (Expo) |
server/ | The server (FastAPI) |
packs/ | Core skills and the installer's setup, plus optional feature packs |
relay/ | The friends relay (Cloudflare) |
docs/ | Agent install guide, friend and agent protocols |
See CONTRIBUTING.md; install reports and data-source adapters help most.
AGPL-3.0, © 2026 Leo Zhou. Free to run, study, change, and share; if you offer a changed version to others over a network, publish your changes under the same license. For commercial licenses, open a GitHub issue. Versions before 28 September 2026 (up to commit b8902a8) remain MIT; Expo template code in app/ keeps its MIT notice (app/LICENSE-EXPO).