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

Renor

by renoraiversion 1.0.1i★ –iRuns in the cloud
Registry nameio.github.patrickpassosb/renor

Install

Overview

Description from the maker (original English)

Private memory for AI agents: save and recall facts across Claude Code, Codex, Cursor and ChatGPT.

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 in the cloud
  • Transport: Streamable HTTP
  • Category: Search & AI memory

Install

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

Before you install

  • Basic checks: 0 of 1 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • The registry lists no key to fill in.

You need

Which app do you use?

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

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://mcp.renor.cloud/mcp

Run this in your terminal

claude mcp add --transport http renor https://mcp.renor.cloud/mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "renor": {
      "url": "https://mcp.renor.cloud/mcp"
    }
  }
}

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": {
    "renor": {
      "type": "http",
      "url": "https://mcp.renor.cloud/mcp"
    }
  }
}

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.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://mcp.renor.cloud/mcp

Menu names can differ slightly by plan and over time.

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

We have not read this server’s tool list yet; we check endpoints in rotation.

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

  • ! Caution

    Maker matches the repo

    The publisher (patrickpassosb) is not the repo owner (renorai); someone else may have listed it

  • … 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 checked yet

    Endpoint responds

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    Sign-in with OAuth

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 7235 servers in this category
  • Published to the registry more recently than 83% of the other 7235 servers in this category
  • Basic checks equal to or better than 36% of the other 7235 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 Renor safe?

It passed 0 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 in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.1) reached the registry 8 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

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

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated 3 days ago
Install

Codebase Memory

by DeusData

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

Runs on your computer★ 48,148MITUpdated 20 days ago
Install

Exa

by exa-labs

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

Runs in the cloud★ 5,213MITUpdated 44 days ago
Install

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.

Shared memory for coding agents, over MCP.

What one agent learns in a session, every agent knows in the next.

How it works

  1. Tell one agent once: a decision, a root cause, a correction.
  2. Renor saves it as plain Markdown you own.
  3. Every agent recalls it in its next session: Claude Code, Codex, Cursor, Grok, Gemini, VS Code, OpenCode, Pi or any MCP client.

Quickstart

Two ways in. Both take under a minute.

Hosted: the easiest path
npx renor connect --client claude-code

--client is claude-code, codex, cursor, grok, gemini, vscode, opencode or pi. One command adds Renor to that app, signs you in through the app's own flow (no token to copy), writes the memory rule below, and ends with a live check that your workspace answers. Search is hybrid (keywords and meaning). Sign up at renor.cloud.

Self-hosted: the private path

Your memory stays in a folder on your machine. No account, no API key. You need Node.js 22.16 or later (22.16+ or 24+); on an older Node, renor-engine prints one line saying so and exits.

claude mcp add --scope user renor-local -- npx -y renor-engine mcp

codex mcp add renor-local -- npx -y renor-engine mcp

Restart the agent. The first start downloads about 12 MB, and the first Renor call works about 3 seconds after an empty start. Notes go to ~/.renor (set VAULT_PATH to use another folder).

Then add [the memory rule](#the-memory-rule) to the agent's instructions file, so it saves on its own.

Cursor or VS Code, one click:

Grok. Grok starts project servers only in a folder it trusts, so register Renor in the project:

grok mcp add --scope project renor -- npx -y renor-engine mcp

Trust the folder in Grok, then restart Grok. To check it: ask Grok to save a real decision from your project, restart Grok, and ask about it in the new session. To turn telemetry off, set DO_NOT_TRACK=1 in the environment Grok runs in. Paste the memory rule into the project's AGENTS.md.

Any other MCP client: the command is npx with the arguments -y renor-engine mcp (stdio).

Check it works:

npx renor-engine status

Then tell your agent a real decision ("remember that the orders service uses Postgres 16"), start a new session, and ask about it.

Running it on a server or with Docker: docs/self-hosting.md.

Several agents on one memory: start each with its own RENOR_CONNECTION_NAME and they get the multi-agent ("hive") tools (details).

The memory rule

Five lines that make agents save decisions, corrections and facts on their own. In our Grok test (grok-4.7, renor-engine 1.4.0, 3 Nov 2026), agents with the rule saved in 8 of 8 sessions and the next session recalled 5 of 5 project facts.

renor connect writes it for you. Self-hosted, paste it into ~/.claude/CLAUDE.md (Claude Code), ~/.codex/AGENTS.md (Codex) or the project's AGENTS.md (Grok):

## Renor memory

Renor is connected to this app and remembers across sessions.

  • Before deciding anything non-trivial, recall first: one get_context call is usually enough.
  • Save with remember when the user makes a decision, corrects you, or states a fact that should outlive this chat. Include the reason.
  • Save the specific value (a port, a name, a path), not a summary of it.
  • Do not save secrets, or things that are already in the code.

Self-hosted, the local tools are search, remember_fact and note; agents map the rule onto them (tool list).

What runs on your machine

  • Your memory is plain Markdown in one folder you own. Edit it with anything; back it up like any folder.
  • SQLite holds the search index, next to the notes. It is rebuilt from the Markdown at any time.
  • No embedding model needed. Search is by keyword; when the exact words miss, it retries with word stems. Hybrid search (keywords and meaning) is the hosted default; self-hosters can opt in to OpenAI or a local model (details).
  • Small: a 1.8 MB package, about 5 MB installed. About 143 MB of memory with 1,000 saved memories.
  • Telemetry: anonymous usage numbers (never text, names or paths) are on by default, with a notice on first run. renor-engine telemetry off or DO_NOT_TRACK=1 turns them off. Your memory text is never shared unless you say yes to that separately. Every field: docs/TELEMETRY.md.

Benchmarks

BenchmarkRenorSetup
LongMemEval-S98.4% (492/500)Deep search, off by default
LongMemEval-S94.4% (472/500)Default settings
LoCoMo (categories 1 to 4)96.7% (1,489/1,540)Deep search
BEAM 128K / 1M / 10M76.2 / 74.7 / 60.2Deep search, score out of 100
ConvoMem88.4% (191/216)Default search, 100 conversations per memory

Claude Opus 5.5 answers LongMemEval, LoCoMo and BEAM; DeepSeek V4.1 Flash answers ConvoMem (a research run). One run each, Oct 2026. Deep search is top-K 50 with a 4,000-token budget (RENOR_TOPK_SCALES_BUDGET=1). Judges and methods for every run: renor.cloud/research.

Build from source

You need Node.js 22.16 or later and git.

git clone https://github.com/renorai/renor-engine.git

cd renor-engine npm ci && npm run build node scripts/smoke-self-hosted.mjs

The last command starts the MCP server in a temporary folder, saves one fact, finds it again and ends with PASS: self-hosted stdio MCP can remember and retrieve a current fact. It never touches your notes. Downloaded a ZIP instead of cloning? Build with RENOR_BUILD_COMMIT=0000000 npm run build. Connecting a local build to each agent: docs/self-hosting.md.

Learn more

Docs · Self-hosting, servers and Docker · Every setting · Telemetry

License and contributing

The engine is Apache-2.0 (LICENSE); 1.0.0 was released under AGPL-3.0; 1.1.0 and later are Apache-2.0; files imported from the upstream project stay ISC (NOTICE, UPSTREAM.md). The renor CLI, the SDKs and the integrations are MIT.

Contributions are welcome: CONTRIBUTING.md has setup, tests and good first issues. Sign off each commit with the DCO (git commit -s); there is no CLA. Report vulnerabilities privately as described in SECURITY.md.

If Renor saves you re-explaining, a ⭐ helps other developers find it.

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