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lincforge/0xl0c1

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物理世界的loci方法代理。内存存在于对象上,而非应用。远程MCP服务器(观察/询问/提交)。

概览

记忆存在于对象上,而非应用程序:切换手机、助手或型号,并在同一物理位置继续。物理世界的定位方法代理。没有新的应用。指向你的手机,说话,并将你学到的内容固定到你面前的物体上。稍后回来,使用任何设备或助手,从中断处继续。 为AI Tinkerers全球黑客松制作——西雅图,2026-09-12,星期六。 观察→承诺→离开→回来时,请→要求→简历。 你站在一个你拥有但并不完全理解的东西前——炉子过滤器、关闭阀、自行车变速器。你和你已有的助手交谈。观察记录物体和你说它所在的位置。commit写下你推敲出的内容,加上你留下的问题。几周后,用另一部手机和另一位助手,你指着同一个物品,把线索还给他——教训、主张和未解问题。 服务器从未收到任何图像。

概述(AI 翻译)

物理世界的定位方法代理。记忆存在于对象上,而非应用。

注册音高,逐字表示:

记忆存在于对象上,而非应用:切换手机、助理或型号,同时继续使用。 实体空间。

物理世界的定位方法代理。没有新应用。用手机对准,通话,然后标记你 学会了眼前的物体。稍后回来,使用任何设备或助手,接手 你上次说的。

为人工智能爱好者打造 “Agents, Everywhere” 全球黑客松 — 西雅图,2026-09-12,星期六。


它的作用

观察→承诺→离职,→回来找另一位助理,→要求→简历。

你站在一个你拥有却不完全理解的东西面前——炉子过滤器、关闭阀门,以及 自行车变速器。你和你已有的助手谈谈。observe 记录物体和地点 你说它活在里面。commit 写下你推测出来的内容,加上你留下的问题。几周后, 在不同的手机和不同的助手上,你指向同一个物体,然后ask递给那根线 回溯——教训、主张和悬而未决的问题。

零像素。 服务器从未收到图像。

本页由 AI 翻译,技术细节请以原文为准。

README

以下为原文 README 节选,完整内容请查看原文。

0xL0C1

A method-of-loci agent for the physical world. Memory lives on the object, not the app.

Registered pitch, verbatim:

Memory lives on the object, not the app: switch phones, assistants, or models and resume at the same physical place.

A method-of-loci agent for the physical world. No new app. Point your phone, talk, and pin what you learned to the object in front of you. Come back later, on any device or assistant, and pick up where you left off.

Built for the AI Tinkerers “Agents, Everywhere” Global Hackathon — Seattle, Saturday 2026-09-12.


What it does

Observe → commit → leave → come back on another assistant → ask → resume.

You stand in front of a thing you own and don’t fully understand — a furnace filter, a shutoff valve, a bike derailleur. You talk to the assistant you already have. observe records the object and the place you say it lives in. commit writes what you worked out, plus the question you left open. Weeks later, on a different phone and a different assistant, you point at the same object and ask hands the thread back — the lessons, the claims, and the open question.

Zero-pixel. The server never receives an image. No pixels held, no camera frames stored, no server-side OCR run. Identity arrives as text authored by the host assistant’s vision model — which we do not control and do not call — plus what the user says. The 20x25x1 MERV 11 printed on the filter reaches us because the host model transcribes it into a required string parameter, not because we look at the filter.

Four MCP tools: observe, ask, commit, list_spaces. Six multi-tenant tables with PostgreSQL 16 Row-Level Security (RLS): space, membership, place, object, lesson, claim.

Connect it

0xL0C1 (LINC Loci) is a multi-tenant remote MCP server over Streamable HTTP running on Google Cloud Run + Cloud SQL PostgreSQL 16 (RLS) + Vertex AI (text-embedding-004). There is no app to install — you attach it as a connector to an assistant you already use, either via OAuth 2.1 + PKCE or via a per-space capability URL:

Host How Auth Modes
Claude (Web / Desktop / iOS / Android) Settings → Connectors → Add custom connector → paste https://loci.lincinnovations.com/mcp (OAuth 2.1) or https://loci.lincinnovations.com/loci-/mcp OAuth 2.1 (S256 PKCE + Dynamic Client Registration) or per-space capability path
ChatGPT (Web / Mobile Developer Mode) Developer mode → add an MCP server → https://loci.lincinnovations.com/mcp or https://loci.lincinnovations.com/loci-/mcp OAuth 2.1 or capability path
Gemini Live / CLI / ADK Streamable HTTP MCP client pointed at https://loci.lincinnovations.com/mcp (Authorization: Bearer ) or /loci-/mcp OAuth 2.1 Bearer token or capability path
在 GitHub 查看完整 README

安装

This server does not publish a one-line install command.

Open the repository installation guide 新手?先看 mcpskill.org 教程 →