Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
Mine your AI coding session logs into a you.md profile with dated receipts, for an agent to read.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"emulo": {
"command": "uvx",
"args": [
"emulo",
"mcp"
]
}
}
}在终端中运行这条命令
claude mcp add emulo -- uvx emulo mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"emulo": {
"command": "uvx",
"args": [
"emulo",
"mcp"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"emulo": {
"type": "stdio",
"command": "uvx",
"args": [
"emulo",
"mcp"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
注册名称已通过 GitHub 账户 ohad6k 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.6.7)于38天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。
同一分类中有:Spec Driven Development, Remote Desktop Commander, Python MCP
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Local-only Python MCP server for the Files.com API.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Emulo
Mine the messages you typed to your coding agents into a you.md profile, every rule with dated receipts, and install it where your agent can read it.
Your real coding-agent sessions already contain the rules you never wrote down: what “done” means, what you reject on sight, how you debug, how you design UI, and how you write when you are actually working.
Emulo mines selected evidence from those sessions (Claude Code, Codex, Copilot CLI, OpenCode, and Google Antigravity logs out of the box) into a private working profile, where every rule carries dated quotes from your own messages, and installs it where your agent can read it. The agent mining flow writes separate files for work, design, writing, and video, so a host can load only the one that fits the task.
The aim is an agent that works the way you do from the first message. That is an aim, not a result: what is tested so far is below, including the part that did not go our way.
Installing a profile and an agent actually reading it are two different things. In a host-by-host test on 2026-09-25, the profile reached the model through a project AGENTS.md in Codex (--target agents --repo ., verified end to end in one test) and was loaded into OpenCode's instructions. In Claude Code the you skill installs but is not reliably opened on its own; typing /you loads it. Cursor, Gemini, OpenClaw and Hermes Agent get the file where they look for it, and loading there is not verified. The support matrix has each one.
The Emulo Proof v1 methodology is an unexecuted methodology until a separately approved evidence release exists.
A spec commercial, made in Claude Design. No After Effects and no motion software: the whole thing is a composition rendered out to video.
It is spec work. It was not commissioned by Vercel and it was not made for them. A brand was picked to see how far the motion could go.
It is here because emulo:video is mined from sessions like the one that produced it. The other layers work the same way: the profile is not a template, it is what survived from real work.
Inside Claude Code:
/plugin marketplace add ohad6k/emulo
/plugin install emulo@emulo
Inside Codex:
codex plugin marketplace add ohad6k/emulo --ref v0.6.7 --json
codex plugin add emulo@emulo --json
Then run emulo:mine and point it at your session history. Everything below explains what that produces and why. If you want the CLI instead of the plugin, see Quickstart.
Emulo is MIT licensed, free, and works without an account or a sign-in. The tool itself has nothing to buy. Separately, the site offers one optional paid service, a hand edit of a profile you already mined, and you never need it to use Emulo.
Session extraction, redaction, caches, the profile itself, and the agent adapters all stay on your machine. The one exception is mining: if you point it at a hosted model, the selected evidence goes to that provider. Point it at a local model and the whole run stays on your machine.
Memory is what you explicitly told the model.
Emulo mines what keeps coming up in your own sessions: what you reject, what "done" means, when you ask for proof, how you talk when you're actually working, and the agent behaviors that make you stop the task.
That's why it reads raw session logs, not your CLAUDE.md or rules file.
Emulo does three separate things, and they are held to different standards:
What the published tests do show:
An anecdote. One line to the same agent, twice: "help me post emulo on reddit." Once cold, once with the Emulo profile loaded. One run each way, with no control and no placebo, so it shows what two replies looked like, not what the profile does. Both replies are trimmed to their opening plan and title.
🡒 agent 🡒 agent + emulo
Here's how I'd play it.
Subreddits: r/ClaudeAI and r/ChatGPTCoding are your core audience. r/LocalLLaMA fits the local angle. r/cursor, r/SideProject, r/opensource for reach. Don't blast all at once — post to one, tune the title, repost over a few days.
Title: I built a local tool that reads your AI coding logs and writes a "you.md" your agents read before every task
the insight first: the mining number is your whole post. "i read 1,656 of my own sessions" is a confession, not a pitch, and nobody scrolls past a confession. lead with the mirror, not the mechanism.
one sub, not five — a skills sub, where people come looking for this instead of arguing about it.
Title: I built a Claude skill from 8 months of my own Claude Code sessions
The title is the agent's wording. The profile loaded was a profile the author mined in early July 2026 (1,656 sessions).
I posted the loaded version on r/ClaudeSkills. The numbers below are as shown in the screenshot, which shows the vote bar only, not the post or the date:
200 upvotes · 32 comments · 102K views
One post, so it says nothing about whether the profile caused any of that.
The controlled tests are at emulo.vercel.app/placebo and emulo.vercel.app/fable, summed up in What is tested so far.
The kind of rules a mine pulls out, each backed by dated verbatim receipts from real sessions:
done means it runs live. never trust "done" off a code edit. show it working first.
fix the one thing. rewriting or "cleaning up" code that isn't the problem gets rejected every time.
builds faster than they understand what they built — then asks the agent to explain their own system back.
gets frustrated by repeating the same ask until it lands, not by escalating.
Nobody wrote those rules down. They came out of one person's own history, with receipts.
This is an example. Yours is mined from your logs and will read nothing like it.
Mining answers "who is this person." The usage report answers a different question: where you keep repeating yourself to the model.
python emulo.py --coach # every source it can find
python emulo.py --coach --source claude # Claude Code only
Or let your agent run it when you complain that it keeps forgetting how you work: npx skills add ohad6k/emulo@agent-profile-from-sessions installs a skill that starts with this free report and only offers mining after you see the evidence.
It runs before any mining and makes no model call. On a big history it takes about a minute: roughly 1,400 sessions took 54 to 71 s across three runs on one Windows machine.
Every check is a text match on your own messages. It counts asks you sent three or more times in a row unchanged, messages with a phrase like "as I said" or "I told you", runs of near-identical asks in a row, and how often a message opens like a correction ("no,", "that's wrong"). A phrase inside quoted or pasted text (a fenced code block, a line starting with >, or a double-quoted span) is not counted, so an email you are answering does not read as you repeating yourself. A match cannot tell why you repeated something or whether the agent had forgotten anything, so the report offers fixes as possibilities, not diagnoses.
Every finding prints the dated messages behind it, so you can judge each one yourself. Checks that come in under their bar are printed with their counts as well, so a clean result reads as a result rather than as silence.
It reads only the messages you typed, which is all Emulo keeps. It cannot see cost, tokens, tool calls, or whether the agent was right, and it never scores those.
The agent mining flow (run emulo or emulo:mine) also writes a card.json, and emulo --card renders it as a shareable card: archetype, top laws ranked by distinct supporting session receipts, coverage stats, and one sharp truth. emulo plugin status prints the card_path. The RUN_ME.md path writes you.md only, so it has no card to render.
This card is from a different run of the miner than the early July 2026 profile quoted elsewhere in this README, so its session and token counts differ from it.
Share the card or one short trait, never your full profile.
Step by step, with what each command reads and writes, what reaches a model, and how to remove it: docs/PROFILE-FLOW.md.
Install the cross-agent bootstrap. It runs the mining flow in Claude Code and Codex:
npx skills add ohad6k/emulo@emulo
Then tell your agent:
run emulo
That installs the bootstrap and creates a read-only full-history mining plan. Your ag
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