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PopNx MCPMCP servers for people who use AI · explained in plain words

Pathmark

by hacksurvivorversion 0.1.17i★ –iRuns on your computer
Registry nameio.github.hacksurvivor/pathmark

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

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

Run this in your terminal

claude mcp add pathmark -- npx -y pathmark

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account hacksurvivor, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32531 servers in this category
  • Published to the registry more recently than 51% of the other 32531 servers in this category
  • Basic checks equal to or better than 100% of the other 32531 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Pathmark safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.17) reached the registry 39 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Reelsaw

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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by formulahendry

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

Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

by desktop-commander

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

Runs in the cloud★ 211Updated yesterday
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Reelsaw

by osbytes

Drive a self-hosted Reelsaw: turn long videos into vertical clips, edit, re-render and export them.

Runs on your computerUpdated today
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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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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