原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Infernoflow

作者:ronmiz版本 0.50.0i★ –i在你的电脑上运行
注册名称io.github.ronmiz/infernoflow

安装

概览

作者提供的说明(英文原文)

Git-native memory for coding agents: gotchas, decisions and bookmarks as plain text in your repo.

PopNx MCP 的三大支柱

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。

它能帮你做什么

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。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 搜索与 AI 记忆

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: INFERNOFLOW_PROJECT_DIR

你需要

  • npm已安装 Node.js(用于 npx 命令)

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": {
    "infernoflow": {
      "command": "npx",
      "args": [
        "-y",
        "infernoflow",
        "mcp"
      ],
      "env": {
        "INFERNOFLOW_PROJECT_DIR": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add infernoflow --env INFERNOFLOW_PROJECT_DIR=your-value -- npx -y infernoflow mcp

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "infernoflow": {
      "command": "npx",
      "args": [
        "-y",
        "infernoflow",
        "mcp"
      ],
      "env": {
        "INFERNOFLOW_PROJECT_DIR": "your-value"
      }
    }
  }
}

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。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "infernoflow": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "infernoflow",
        "mcp"
      ],
      "env": {
        "INFERNOFLOW_PROJECT_DIR": "your-value"
      }
    }
  }
}

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。

需要你填写的值

  • INFERNOFLOW_PROJECT_DIR env
    Absolute path of the project whose memory to use. Defaults to the open workspace folder.

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。

它能做什么

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。

基础检查i

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

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 ronmiz 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    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“搜索与 AI 记忆”中的其他服务器比较i

  • 星标数多于此分类中其他 7277 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 7277 个服务器的 90% 更新
  • 基础检查结果等于或优于此分类中其他 7277 个服务器的 100%

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。

常见问题

Infernoflow 安全吗?

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。

它需要哪些密钥或代码?

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。

它在我的电脑上运行还是在云端?

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)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.50.0)于4天前进入注册中心。

哪些应用可以使用它?

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 Node.js。

有什么可以替代它?

同一分类中有:Context7, Codebase Memory, Exa

替代选择

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

Context7

作者:upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT昨天更新
安装

Codebase Memory

作者:DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

在你的电脑上运行★ 48,148MIT21天前更新
安装

Exa

作者:exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

在云端运行★ 5,213MIT上个月更新
安装

作者的 README

打开 README

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。

🔥 infernoflow

Every new AI session starts cold — the gotchas you found, the decisions you made, don't survive. infernoflow makes them stick.

Persistent memory for AI coding sessions. Captures the gotchas, decisions and dead ends your code can't tell an agent — and replays them into your next Cursor / Claude Code / Copilot chat so the same wrong turn never happens twice.

You spent 90 minutes yesterday teaching Claude that your auth API returns 200 even on errors — check the response body, not the status code. Today you ask the same kind of question and watch it write if (response.ok) { return data } all over again. The AI didn't get worse overnight. It just doesn't have memory.

infernoflow is a local-first CLI + VS Code extension + open protocol (AMP) that gives your AI persistent context across sessions. No SaaS. JSONL on disk. Three rule files your IDE already reads.

Built-in assistant memory remembers *you*. infernoflow remembers the *codebase*: the memory lives in your repo under .ai-memory/, travels through git to your teammates, and works the same in Claude Code, Cursor and Copilot.


What's new in 0.50

  • The MCP server tells the agent how to use the memory. Clients that show MCP server instructions, such as Claude Code, now get the memory protocol when they connect: check where you stopped, search before changing a file, save decisions, gotchas and failed attempts without being asked. It works even where no hook or rule file loads it.

What's new in 0.49

  • Unsaved decisions come back. If a Claude Code session ends with a decision or finding you stated but nobody saved, the next session starts with a one-time reminder to offer saving it (the quote stays on your machine).
  • `setup` shows what is really installed — every part, installed, skipped with the reason, or missing with the command that fixes it.
  • `setup` runs init with the CLI you installed, never npx through a shell.

What's new in 0.48

  • Codex CLI. setup registers the MCP server in .codex/config.toml (no machine paths, safe to commit) and creates AGENTS.md with the memory block, on machines with Codex.
  • Pre-commit note. When a commit touches a file that memory has a gotcha, failed attempt or decision about, git commit shows it first. Never blocks.
  • Safer uninstall. It removes only infernoflow's block from your rule files; it used to delete CLAUDE.md whole.

What's new in 0.47

  • Committed configs stay clean across the team. .vscode/mcp.json and .cursor/mcp.json no longer hold your machine's paths (infernoflow mcp in ${workspaceFolder}), and the rule files no longer list recent commits or personal memory — so a teammate's pull doesn't leave changed files. Optional AGENTS.md support.
  • Save reminders from what you type (Claude Code): "remember this", "we decided…", "turns out…" — in English or Hebrew — remind the agent to save it in its own words. Hebrew frustration phrases are logged too.

What's new in 0.46

  • Memory maintenance hints (0.46.5): status, recap and the session start tell you when memory has duplicates, noise or entries about files that changed since, and name the command to fix it. Set "maintenance": "auto" in .ai-memory/amp.json to tidy up once a day, or "off". Also: every command has its own --help that never runs the command.
  • Fresh memory every Claude Code session — a SessionStart hook injects current memory (framed as information to verify, not instructions); CLAUDE.md no longer carries a copy that goes stale.
  • `infernoflow resume` — "where were we?" in one call. Claude Code also leaves an automatic local resume point when a session ends.
  • Stale and resolved entries — entries about a file that changed since are marked *may be stale*; infernoflow resolve retires one from AI context.
  • Review what arrives through git (0.46.1) — memory added by teammates is listed until you review it, and the GitHub Action shows memory changes in each PR.
  • Safer by default — only read-only MCP tools are pre-approved; the memory-keeper agent is limited to single infernoflow commands; secrets are redacted; MCP is registered per project.
  • `infernoflow doctor --e2e` (0.46.3) — an end-to-end self-test in a throw-away sandbox: CLI, the MCP server with every tool called, the prompt and session hooks, git drift, attribution. Also: prompt hooks ignore agent/tool text, memory-mode projects aren't offered contract tools, git drift reports git failures, and every entry names who wrote it.

Full list: CHANGELOG.md.

Session bookmarks

Drop a named resume point mid-session. When the context window fills up or you're about to make a risky change, one command captures the current session's transcript and stores it as a jumpable checkpoint:

infernoflow bookmark "before the SP refactor"

Or just say it in chat — the Cursor beforeSubmitPrompt hook catches phrases like "bookmark this" / "mark this point" / "save this checkpoint" and drops the bookmark itself, no AI cooperation required. Or let the AI do it via the amp_bookmark MCP tool when it notices the session is getting long.

No `--note`? infernoflow reads Claude Code's own on-disk transcript (~/.claude/projects/…/*.jsonl), distills the last 40 turns to markdown, and stores it as the bookmark's context. Fully deterministic — no model call. Recall any time:

infernoflow bookmark list                # ● has context, ○ marker only

infernoflow bookmark show "SP refactor" # jump back — see the whole snapshot

Bookmarks are never auto-pruned, and they surface in infernoflow switch under a ## 🔖 Bookmarks — Resume Points section so the next session opens right where work paused.


🆕 Proactive capture — a Claude skill + a memory-keeper agent

init now installs two things into .claude/ so the loop runs itself on Claude Code:

  • `infernoflow-memory` skill (.claude/skills/) — teaches the agent to start warm (resume), then proactively log real gotchas, decisions-with-a-*because*, dead ends, and durable preferences, and drop a bookmark at stopping points or when you say *"bookmark this"*. Capture is balanced — it skips routine steps, anything obvious from the code, secrets, and duplicates.
  • `memory-keeper` subagent (.claude/agents/) — a specialist you can delegate to. It sweeps the session, dedupes against what's already stored, logs what's worth keeping, drops bookmarks, and reports back. It never edits code or logs secrets, and a guard limits its shell to single infernoflow read/log commands (blocked if the guard can't run).

Both are installed automatically by infernoflow init (fresh and on re-run of an existing project) and ship in the package — nothing to set up by hand.


The loop

Every new AI session today starts cold. The agent re-reads your code, re-derives the obvious, and re-makes the same wrong move someone else made yesterday. infernoflow closes that loop in four stages:

  1. Capture — while you and the agent work, moments worth saving get logged automatically: a gotcha hit, a decision made, an attempted fix that failed, a pattern noticed, a resume point marked. The AI writes them via the amp_write MCP tool. A protocol block injected into the rule files teaches it exactly when. Prompt hooks (Claude Code UserPromptSubmit, Cursor beforeSubmitPrompt) backstop the AI by scanning the text you typed — subagent hand-backs, system reminders, fenced or indented code, quotes and stack traces are skipped — for trouble signals (not working, still broken, same error; !! / retry only in short prompts) and writing the entry deterministically when the AI doesn't (English and Hebrew). In Claude Code the hook also notices when you ask the agent to remember something, state a decision or describe a finding, and reminds the agent to save it in its own words — it stores nothing itself for those. If a session ends with one of those still unsaved, the next session starts with a one-time reminder to offer saving it. The Cursor hook also turns *"bookmark this"* into a bookmark.
  2. Link — each captured moment becomes a structured AMP entry (gotcha | decision | attempt | note | detection | pattern | bookmark) with timestamp, file:line, tags, and a stable AMP id.
  3. Persist — entries land in .ai-memory/branches/ .jsonl (git-tracked, travels with your branch — teammates inherit it) plus .ai-memory/global.jsonl (personal preferences, gitignored, synced across your machines via any OS-synced folder).
  4. Restore — when a new session starts, the agent reads CLAUDE.md / .cursorrules / copilot-instructions.md at boot. The most relevant entries are already there. Warm start; no cold derivation.

And at the last moment before a repeat: when a commit touches a file that memory has a gotcha, failed attempt or decision about, the git pre-commit note prints those entries — to you or to the agent running git commit. It never blocks the commit. (setup / init install it in .git/hooks; turn it off with "preCommit": "off" in .ai-memory/amp.json.)

No service to log into. No SaaS. JSONL on disk, an MCP server, and three rule files your IDE already reads.


Install

npm install -g infernoflow

infernoflow init --yes

Zero runtime dependencies. Works on Node ≥ 18 — macOS, Linux, Windows.

init --yes does the whole setup: creates .ai-memory/, writes rule files for every supported IDE, wires the MCP server for Cursor / VS Code Copilot / Claude Code in one shot, installs the infernoflow-memory skill + memory-keeper agent into .claude/, applies the clean-tree git policy, and drops a visible demo entry so you can confirm the loop is alive with:

infernoflow status

The 5-command core + 4

These cover 95% of usage:

CommandWhat it does
infernoflow log "..."Remember a gotcha / decision / attempt / note. `--type gotcha\decision\attempt\preference`
infernoflow resume🆕 0.46 "Where were we?" in one call — last resume point, open dead ends, recent decisions, uncommitted work. --file ranks by file
infernoflow ask "..."Search your memory by keyword — gotchas surface first. --file ranks entries about that file first
infernoflow switchGenerate a handoff for the next session. --copy puts it on your clipboard
infernoflow recapEnd-of-session summary with health score + unlogged-change detection; lists memory that arrived through git and marks it reviewed
infernoflow statusQuick health check — entries, gotchas, decisions, last activity

| infernoflow bookmark "..." | 🆕 Drop a named resume point — auto-captures the session transcript as its context. list / show / rm round it out. Surfaces in switch.

只显示了开头部分;其余内容请在仓库中阅读

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