Pathmark
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
打开电脑版 Claude 应用的设置文件
SettingsDeveloperEdit Config
粘贴这些设置并保存文件
{ "mcpServers": { "pathmark": { "command": "npx", "args": [ "-y", "pathmark" ] } } }退出 Claude 再重新打开
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
- Sentry✓ ChatGPT
- Front-End Checklist✓ ChatGPT
- Compiler Explorer✓ ChatGPT
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)
打开终端
Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell
粘贴这条命令并按 Enter
claude mcp add pathmark -- npx -y pathmark在 Claude Code 中输入 /mcp
应能看到 Pathmark 在列表中并显示已连接
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)
在 Cursor 中以 Agent 模式打开 AI 聊天
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)
在 VS Code 中以 Agent 模式打开 AI 聊天
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
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 pathmarkClaude 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
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
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。
用户评价
还没有评价
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
Netdata
Real-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.
Front-End Checklist
Review frontend code and live pages against 386 quality-gated web development rules.
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-permissionsadds 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/openWorldHintannotations, 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-firstchat/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:
| Tool | Purpose |
|---|---|
remember | Save raw searchable evidence. Raw evidence is not treated as durable approved intent. |
create_conclusion | Propose a higher-signal durable conclusion or preference. Approval is required by default before recall. |
search_memory | Search memories and conclusions. |
recall_memory | Transparent 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_trace | Return a bounded chronological audit trail for one session: prompts, exact injected memory IDs, redacted tool inputs/results, and answers. |
rate_recall | Label exact IDs from a chat / ask_memory recall as relevant or irrelevant so audit precision is measured. |
get_context | Return compact context for a task or question. |
list_conclusions | List approved saved conclusions. |
list_pending_conclusions | Review bounded, paginated pending conclusion proposals. |
approve_conclusion | Atomically approve a proposal, optionally correcting text/tags and recording the reviewer. |
reject_conclusion | Retain a rejected proposal in the audit trail while permanently excluding it from recall. |
get_memory_snapshot | Generate a bounded USER/PROJECT/AGENT snapshot from approved canonical conclusions. |
consolidate_memory | Review a bounded unsynthesized evidence batch and optionally stage evidence-backed proposals. Nothing is auto-approved. |
delete_memory | Soft-delete a memory or conclusion by id. |
update_memory | Correct a record while preserving prior versions. |
supersede_memory | Replace an outdated record with a linked current record. |
purge_memory | Preview or apply permanent deletion by id, namespace, tags, source, or date. |
audit_memory | Measure capture-to-recall behavior, unused records, recall age, duplicates, stale raw hits, and whether precision labels exist. |
doctor_memory | Report duplicates, deleted/expired records, conclusions, and index health. |
compact_memory | Preview or apply deduplication, retention, and physical cleanup with an automatic backup. |
backup_memory | Create a point-in-time canonical JSONL backup. |
export_memory | Export a scoped mergeable JSONL bundle, optionally encrypted. |
ask_memory | Return an approved-conclusion answer or scoped raw context, exact provenance, and a recall ID for feedback. |
chat | Chat-compatible alias for ask_memory, including multi-intent conclusion retrieval and explicit abstention. |
get_config | Show 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