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

Pathmark

作者:hacksurvivor版本 0.1.17i★ –i在你的电脑上运行
注册名称io.github.hacksurvivor/pathmark

安装

概览

作者提供的说明(英文原文)

Local-first intent and provenance for Codex, Claude Code, Cursor, Gemini CLI, and MCP agents.

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: 其他

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)。
  • 注册中心没有列出需要填写的密钥。

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": {
    "pathmark": {
      "command": "npx",
      "args": [
        "-y",
        "pathmark"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add pathmark -- npx -y pathmark

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": {
    "pathmark": {
      "command": "npx",
      "args": [
        "-y",
        "pathmark"
      ]
    }
  }
}

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": {
    "pathmark": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "pathmark"
      ]
    }
  }
}

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6日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 hacksurvivor 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“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32505 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32505 个服务器的 51% 更新
  • 基础检查结果等于或优于此分类中其他 32505 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

Pathmark 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(0.1.17)于39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:Spec Driven Development, Remote Desktop Commander, topo^alpin

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

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211昨天更新
安装

topo^alpin

作者:topoalpin.app

Avalanche bulletins and mountain weather forecasts for any place in the Alps.

在云端运行今天更新
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。

Pathmark

Carry intent across agents without turning stale code facts into hidden memory.

What's New — v0.1.17

Pathmark v0.1.17 stops Claude Code from gating every memory lookup:

  • pathmark setup claude-code --apply-permissions adds allow rules for Pathmark's ten local read-only tools, so recall and search run without a permission prompt, and in auto mode without a safety-classifier round-trip that can fail transiently;
  • it backs up ~/.claude/settings.json, adds only missing rules, keeps every other setting, and never rewrites a file it cannot parse;
  • the allow list is tested against the tools' own readOnlyHint/openWorldHint annotations, so anything that writes, deletes, or may call an external model always keeps its prompt.

See the v0.1.17 release notes or the complete changelog. The npm badge above always shows the currently published version.

Pathmark gives Codex, Claude Code, opencode, Gemini CLI, Cursor, and any MCP-capable harness one local intent and provenance layer. Save decisions, constraints, preferences, and approved conclusions once. Use them from the next agent without pasting a recap.

Code remembers implementation. Pathmark remembers intent. Repository code, architecture, tests, CI, and intentional agent instructions remain authoritative for how the software works. Raw sessions are searchable evidence, not automatically trusted truth.

Your context stays on disk at ~/.pathmark/memory/memory.jsonl. You do not need an account, hosted database, API key, or vendor backend to start.

OpenAI Build Week 2026

Pathmark is a Developer Tools submission for OpenAI Build Week 2026. The project existed before the challenge, so the submission is deliberately scoped to the meaningful extension built after the submission period opened on July 13, 2026.

During the eligible period, Codex with GPT-5.6 helped audit and extend Pathmark from a working local memory layer into safer long-running developer infrastructure:

  • fixed a reproduced multi-process SQLite index race;
  • added revision history, superseding, expiration, retention, diagnostics, backup, compaction, and preview-first hard purge;
  • added namespace-scoped reads and writes plus default secret redaction;
  • added scoped import/export, optional AES-256-GCM portable exports, local hybrid reranking, and portable harness ingestion;
  • hardened CI and npm delivery with required CodeQL and dependency review, immutable Action pins, protected tags, OpenSSF analysis, and SLSA provenance.

The primary Codex session for this work is 019f5fc3-d7e6-7b41-8a30-d161c90b98fb. The qualifying release range is v0.1.6 through v0.1.7; the pre-challenge baseline is commit 4c0e87dfdbd2ba4c643abd8b887cc228bdb08b73.

See the Build Week implementation record for the before/after boundary, commit evidence, Codex collaboration details, and a fast judge test.

Why Pathmark

You do not work in one tool. You ask Codex to patch, Claude Code to review, opencode to clean up, and Gemini CLI to challenge the plan. Each tool starts cold unless you carry the context across.

Pathmark gives those tools one place to read and write intent and evidence:

  • One local JSONL store across harnesses.
  • Standard MCP tools include remember, search_memory, recall_memory, session_trace, rate_recall, consolidate_memory, audit_memory, and conclusion-first chat / ask_memory.
  • Client-side synthesis by default, so your coding agent reads the context and answers.
  • Optional Codex CLI, local command, and OpenAI-compatible synthesis modes.
  • Plain files you can inspect, back up, delete, or migrate.

Pathmark stays provider-neutral. Codex gets one optional synthesis preset. The core server works with any MCP client that can use local tools.

Pathmark requires Node.js 22.5 or newer.

Cross-Harness Memory

You switch tools during a coding session:

  • Codex fixes the failing test.
  • Claude Code reviews the patch.
  • opencode cleans the diff.
  • Gemini CLI challenges the approach.

Pathmark keeps the notes in one store.

Point each harness at the same store:

Codex       \

Claude Code \ opencode > Pathmark MCP > ~/.pathmark/memory/memory.jsonl Gemini CLI / Cursor /

Install Pathmark in each harness and point them at the same PATHMARK_STORE_DIR. One tool saves raw context with remember or proposes a durable conclusion with create_conclusion; an approved conclusion and raw evidence can then be recovered with recall_memory, search_memory, get_context, or ask_memory.

Pathmark sits below the agents as an intent, evidence, and provenance bus for your coding workflow.

Tools

Pathmark exposes these MCP tools:

ToolPurpose
rememberSave raw searchable evidence. Raw evidence is not treated as durable approved intent.
create_conclusionPropose a higher-signal durable conclusion or preference. Approval is required by default before recall.
search_memorySearch memories and conclusions.
recall_memoryTransparent recall: returns context plus the exact memory IDs, timestamps, sources, matches, tags, and previews used. Accepts optional tags, exact ids, and compact includeRecords: false output.
session_traceReturn a bounded chronological audit trail for one session: prompts, exact injected memory IDs, redacted tool inputs/results, and answers.
rate_recallLabel exact IDs from a chat / ask_memory recall as relevant or irrelevant so audit precision is measured.
get_contextReturn compact context for a task or question.
list_conclusionsList approved saved conclusions.
list_pending_conclusionsReview bounded, paginated pending conclusion proposals.
approve_conclusionAtomically approve a proposal, optionally correcting text/tags and recording the reviewer.
reject_conclusionRetain a rejected proposal in the audit trail while permanently excluding it from recall.
get_memory_snapshotGenerate a bounded USER/PROJECT/AGENT snapshot from approved canonical conclusions.
consolidate_memoryReview a bounded unsynthesized evidence batch and optionally stage evidence-backed proposals. Nothing is auto-approved.
delete_memorySoft-delete a memory or conclusion by id.
update_memoryCorrect a record while preserving prior versions.
supersede_memoryReplace an outdated record with a linked current record.
purge_memoryPreview or apply permanent deletion by id, namespace, tags, source, or date.
audit_memoryMeasure capture-to-recall behavior, unused records, recall age, duplicates, stale raw hits, and whether precision labels exist.
doctor_memoryReport duplicates, deleted/expired records, conclusions, and index health.
compact_memoryPreview or apply deduplication, retention, and physical cleanup with an automatic backup.
backup_memoryCreate a point-in-time canonical JSONL backup.
export_memoryExport a scoped mergeable JSONL bundle, optionally encrypted.
ask_memoryReturn an approved-conclusion answer or scoped raw context, exact provenance, and a recall ID for feedback.
chatChat-compatible alias for ask_memory, including multi-intent conclusion retrieval and explicit abstention.
get_configShow local store configuration.

Quick Start

npm install -g pathmark

Then add the MCP server to your client.

Prefer npm for normal installs. To test the current GitHub main branch directly:

npm install -g --install-links=true github:hacksurvivor/pathmark

Generate a setup snippet for your harness:

pathmark setup list

pathmark setup claude-code pathmark setup opencode --json pathmark setup gemini-cli pathmark setup kimi

See docs/compatibility.md for Codex, Claude Code, opencode, Gemini CLI, OpenClaw, Hermes Agent, Grok CLI, Kimi, GLM, and generic MCP setups.

Codex
codex mcp add pathmark -- pathmark

Codex users can also enable auto-capture:

pathmark codex install --replace-legacy-hooks

When you want the visible "what memory did you use?" entry in Codex, Claude Code, Cursor, opencode, Gemini CLI, Grok-compatible MCP hosts, or any other MCP harness, call the recall_memory tool before answering. Codex session start injects an approved conclusion snapshot. Before non-trivial prompts, Codex recalls approved conclusions first and uses fresh scoped raw evidence only as a bounded fallback. recall_memory remains the portable visible trace across harnesses.

Claude Code
claude mcp add --scope user pathmark -- pathmark

pathmark setup claude-code --apply-permissions

The second command lets Pathmark's local read-only tools (recall, search, diagnostics) run without a permission prompt, including in auto mode, where they would otherwise wait on the safety classifier. It backs up ~/.claude/settings.json, adds only the missing allow rules, and leaves everything else untouched. Tools that write or delete memory still ask.

--scope user makes Pathmark available in every project; Claude Code's default scope only covers the current directory. For automatic capture and session-start recall (including after context compaction), merge the hooks block from pathmark setup claude-code into ~/.claude/settings.json.

Claude Code's built-in auto-memory lives in per-project folders the other agents cannot see. Bring it into the shared store as evidence (re-runnable; edits update in place with history, and records you delete in Pathmark stay deleted):

pathmark import-native claude-code --dry-run

pathmark import-native claude-code

opencode / Gemini CLI

Use the generated snippets:

pathmark setup opencode

pathmark setup gemini-cli

Claude Desktop

Add this to your Claude Desktop MCP config:

{

"mcpServers": { "pathmark": { "command": "pathmark", "env": { "PATHMARK_STORE_DIR": "~/.pathmark/memory" } } } }

Cursor

Add the same command to Cursor's MCP server settings:

{

"mcpServers": { "pathmark": { "command": "pathmark" } } }

Local Development

npm install

npm test npm run coverage

Run directly:

PATHMARK_STORE_DIR=.pathmark npm run dev

Import Legacy Memory

Pathmark can import a compatible local JSONL memory store without deleting or moving the source files.

npm run import:legacy -- --source-dir ~/old-codex-memory

Defaults:

Legacy source:   ~/.pathmark/legacy/codex

Pathmark target: ~/.pathmark/memory/memory.jsonl

The importer creates a memory.jsonl.backup-* file before writing, uses deterministic ids so reruns skip duplicates, and redacts obvious KEY=..., TOKEN=..., PASSWORD=..., and Bearer ... values. It uses the same store lock as live MCP and Codex writers, so an import cannot overwrite records captured concurrently.

Use a dry run fir

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