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Pathmark

作者:hacksurvivor版本 0.1.17i★ 4i在你的电脑上运行
注册名称io.github.hacksurvivor/pathmark

安装方法

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.

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: 开发者工具

安装

选择你使用的 AI 应用,然后复制设置。

通过 2/2 项检查 · 在你的电脑上运行

第一步:你用哪个 AI?

选择你用的应用,步骤会显示在下方。

可连接 Claude,但需要先准备

需要先在电脑上安装 Node.js(只需一次) · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用

  1. 安装 Node.js

    只需一次,所有需要 Node.js 的服务器都能用

    打开 Node.js 下载页 ↗

  2. 打开电脑版 Claude 应用的设置文件

    SettingsDeveloperEdit Config

  3. 粘贴这些设置并保存文件

    {
      "mcpServers": {
        "pathmark": {
          "command": "npx",
          "args": [
            "-y",
            "pathmark"
          ]
        }
      }
    }
  4. 退出 Claude 再重新打开

  5. 试一试

    用 Pathmark 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude 说正在使用 Pathmark,或回答中出现 Pathmark 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

ChatGPT 暂时无法连接 Pathmark

Pathmark 需要安装在你的电脑上,而 ChatGPT 只能连接在网上运行的服务器

你可以改用这些方式

A · 使用能连接 Pathmark 的应用

  • 需要先在电脑上安装 Node.js(只需一次) · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用
  • 需要先在电脑上安装 Node.js(只需一次)
  • 需要先在电脑上安装 Node.js(只需一次)
  • 需要先在电脑上安装 Node.js(只需一次)

B · 开发者工具 类中能连接 ChatGPT 的其他服务器

从同类中使用较多的里挑选,仅限用地址即可连接、无需密钥的

可连接 Claude Code,但需要先准备

需要先在电脑上安装 Node.js(只需一次)

  1. 安装 Node.js

    只需一次,所有需要 Node.js 的服务器都能用

    打开 Node.js 下载页 ↗

  2. 打开终端

    Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell

  3. 粘贴这条命令并按 Enter

    claude mcp add pathmark -- npx -y pathmark
  4. 在 Claude Code 中输入 /mcp

    应能看到 Pathmark 在列表中并显示已连接

  5. 试一试

    用 Pathmark 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude Code 说正在使用 Pathmark,或回答中出现 Pathmark 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

可连接 Cursor,但需要先准备

需要先在电脑上安装 Node.js(只需一次)

  1. 安装 Node.js

    只需一次,所有需要 Node.js 的服务器都能用

    打开 Node.js 下载页 ↗

  2. 点击这个按钮打开 Cursor

    在 Cursor 中打开

    Cursor 会请你确认安装,点击 Install

  3. 在 Cursor 中以 Agent 模式打开 AI 聊天

  4. 试一试

    用 Pathmark 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Cursor 说正在使用 Pathmark,或回答中出现 Pathmark 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同

可连接 VS Code,但需要先准备

需要先在电脑上安装 Node.js(只需一次)

  1. 安装 Node.js

    只需一次,所有需要 Node.js 的服务器都能用

    打开 Node.js 下载页 ↗

  2. 点击这个按钮打开 VS Code

    在 VS Code 中打开

    VS Code 会请你确认安装,点击 Install

  3. 在 VS Code 中以 Agent 模式打开 AI 聊天

  4. 试一试

    用 Pathmark 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 VS Code 说正在使用 Pathmark,或回答中出现 Pathmark 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同

其他支持 MCP 的应用(如 Windsurf、Zed、Gemini CLI)添加方式各不相同,请在应用列表中查看

查看所有支持 MCP 的应用 →

JSON 设置在下方“开发者专用”中

卡住了?问问正在用 Pathmark 的人💬 讨论 →
开发者专用:终端命令和 JSON 设置

安装在电脑上

Claude Code

claude mcp add pathmark -- npx -y pathmark

Claude Desktop (claude_desktop_config.json)

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

Cursor (~/.cursor/mcp.json)

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

VS Code (mcp.json)

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

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。

一览

每周下载量i
122/周
许可证i
未注明许可证
连接方式
在你的电脑上运行
最新版本i
0.1.17
发布到注册中心i
2026年9月28日
代码最后更新i
2026年10月19日
作者
hacksurvivor
软件包
npm: pathmark
注册状态
活跃

哪些应用可以使用它

依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。

在你的电脑上运行,适用于

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast

全部应用及其优缺点 →

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11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

  • ✓ 通过

    仍在维护

    代码最后更新于23天前

  • … 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

讨论

提问、分享技巧或报告无法使用。按“有帮助”数量排序。

还没有帖子,欢迎第一个提问或分享。

此处内容由用户撰写,不代表 PopNx 团队。

使用 Google 登录后发帖

用户评价

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用 Google 登录后写评价

与“开发者工具”中的其他服务器比较i

  • 星标数多于此分类中其他 5756 个服务器的 83%
  • 发布到注册中心的时间比此分类中其他 5756 个服务器的 44% 更新
  • 基础检查结果等于或优于此分类中其他 5756 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 2 项适用的基础检查中通过了 2 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23天前,最新版本(0.1.17)于44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:REA, Netdata, Front-End Checklist

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:↓ 每周下载量i★ 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

REA

Reverse engineer anything from your terminal or agent with one CLI and MCP server.

作者:morluto广泛使用↓ 38.9万/周★ 44.8万17天前更新

在你的电脑上运行

Netdata

Real-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.

作者:netdata广泛使用★ 8.1万7天前更新

在云端运行

Front-End Checklist

Review frontend code and live pages against 386 quality-gated web development rules.

作者:thedaviddias广泛使用★ 7.5万37天前更新

在云端运行

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

只显示了开头部分;其余内容请在仓库中阅读