renor-engine
Memory for coding agents: Markdown notes in a folder, recalled later over MCP. AGPL-3.0.
Install / Use
claude mcp add renorai -- npx -y github:renorai/renor-engineIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
AI & Machine LearningSupported Platforms
Our assessment of renor-engine
renor-engine scores 78/100 on our quality scale, 744th of 886 AI & Machine Learning skills we index.
Its MCP Server is 7.7 KB long, split into 6 sections with 7 code examples: a thorough specification that gives an agent plenty to work with.
It has 10 GitHub stars, so there is little community track record yet; judge it on its content.
Maintenance, license and trust
- The repository was last updated today, so renor-engine is actively maintained.
- It is released under AGPL-3.0, a copyleft license: you can use it, but modified versions you distribute must carry the same license.
- Its trust signals score 92/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
renor-engine compared with similar skills
All 4 of these similar skills score higher than renor-engine; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| renor-engine (this skill)by renorai | 78 | 10 | today | MCP Server |
| claude-memby thedotmack | 100 | 102.3k | today | CLAUDE.md |
| Agent-Reachby Panniantong | 100 | 101.0k | 2d ago | CLAUDE.md |
| Understand-Anythingby Egonex-AI | 100 | 87.7k | today | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 77.5k | today | CLAUDE.md |
Frequently asked questions
- How do I install renor-engine?
- Run
claude mcp add renorai -- npx -y github:renorai/renor-engine. The install tabs above show the steps for each supported agent. - Which AI agents does renor-engine work with?
- It is written for Claude Code, Claude Desktop and OpenAI Codex, as a MCP Server file. Other agents that read the same format can often use it too.
- Is renor-engine safe to use?
- It is AGPL-3.0-licensed and scores 92/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is renor-engine still maintained?
- The repository was last updated today, so renor-engine is actively maintained.
Skill content
View source on GitHubRenor

Self-hosted Renor, real session: Claude Code saves a decision, a fresh Codex session recalls it. Waiting time sped up.
Renor is memory for coding agents: it keeps what you tell Claude Code, Codex or Cursor in a folder of Markdown files on your machine, and serves it back to any of them over MCP.
Every new agent session starts from zero: you re-explain the project, last week's decision and why, the thing you corrected twice. With Renor, one agent saves it and the next one finds it. The memory is plain files you own. It runs locally, needs no account or API key, and sends nothing off your machine unless you configure a model. A hosted version with no install is at https://renor.cloud.
Quickstart
You need Node 22 and git. The install is the only step that needs the network.
git clone https://github.com/patrickpassosb/renor-engine.git
cd renor-engine
node -v # must print v22.x
npm ci && npm rebuild better-sqlite3 --ignore-scripts=false && npm run build
node scripts/smoke-self-hosted.mjs
The last command starts the MCP server, saves one fact (Ada favorite_color cerulean), searches for it three ways and stops. It works in a temporary folder that it deletes afterwards, so it never touches your notes. It ends with:
PASS: self-hosted stdio MCP can remember and retrieve a current fact.
Downloaded a ZIP instead of cloning? It has no git history to stamp the build with, so build with RENOR_BUILD_COMMIT=0000000 npm run build instead. A wrong Node version or skipped install scripts: see Troubleshooting.
Connect your agent
Without a clone. With Node 22 installed, one line registers the published package. Your notes go to a hidden .renor folder in your home directory (~/.renor, printed on stderr at start; it never reuses an existing renor folder); to use another folder, add -e VAULT_PATH=/absolute/path to the claude line or --env VAULT_PATH=/absolute/path to the codex line. The first start downloads about 130 MB and takes about 15 seconds; if your agent shows one failed connection, restart it.
claude mcp add --scope user renor-local -- npx -y renor-engine mcp
codex mcp add renor-local -- npx -y renor-engine mcp
For Cursor or any other client, the server is the command npx with the arguments -y renor-engine mcp. claude mcp remove renor-local and codex mcp remove renor-local undo it. The rest of this section is the same thing from a clone, which also lets you change the code.
From a clone.
Pick a folder for your memory (a new, empty one is fine; an Obsidian vault works too) and index it. Run this, and the commands below, from the renor-engine directory in the same shell:
export VAULT_PATH="$HOME/renor-notes" # absolute path; created if missing
node dist/cli.js index
Each command below starts Renor with the Node 22 you are using now (node -p process.execPath), so the agent does not need Node 22 on its own PATH. In a new terminal, run the export line again first: each command stops with VAULT_PATH: run the export line above first rather than register a server that cannot start (an agent shows that only as "Connection closed").
Claude Code
claude mcp add --scope user renor-local -e VAULT_PATH="${VAULT_PATH:?run the export line above first}" -- "$(node -p process.execPath)" "$PWD/dist/cli.js" mcp
Restart Claude Code; /mcp lists renor-local in every project. claude mcp remove renor-local undoes it.
Codex
codex mcp add renor-local --env VAULT_PATH="${VAULT_PATH:?run the export line above first}" -- "$(node -p process.execPath)" "$PWD/dist/cli.js" mcp
Restart Codex; codex mcp list shows it. codex mcp remove renor-local undoes it.
Cursor
Cursor reads MCP servers from ~/.cursor/mcp.json (every project) or .cursor/mcp.json (one project). This prints the entry:
VAULT_PATH="${VAULT_PATH:?run the export line above first}" node -e 'console.log(JSON.stringify({ mcpServers: { "renor-local": { command: process.execPath,
args: [process.cwd() + "/dist/cli.js", "mcp"], env: { VAULT_PATH: process.env.VAULT_PATH } } } }, null, 2))'
Put it in that file, or merge the renor-local entry into an existing mcpServers, then check that renor-local is enabled in Cursor's MCP settings. (The cursor-plugin/ folder of this repository is the Cursor plugin for the hosted service at renor.cloud, which needs a Renor account; it does not connect to this engine.)
Any other MCP client: the command is node dist/cli.js mcp (stdio) with VAULT_PATH set.
Then ask your agent to remember something, and ask about it in a new session. What an agent saves is searchable at once. A Markdown file you add or edit by hand is searchable after you run node dist/cli.js index again.
What is stored where
| What | Where |
| --- | --- |
| Your notes | Any Markdown files in $VAULT_PATH. Renor reads them; edit them with anything. |
| What agents save | Appended as Markdown in the same folder: facts to System/Memory Events Ledger.md, notes to Memory/Daily/<date>.md. |
| Search index | SQLite at $VAULT_PATH/.semantic-memory/index.db. Derived: node dist/cli.js index rebuilds it from the Markdown. |
Everything Renor keeps is in that one folder, so back it up, sync it or move it like any other folder. Nothing leaves your machine unless you set a model key: EMBEDDING_PROVIDER=openai sends your notes' text to OpenAI to embed it, and an evidence-model key (RENOR_EVIDENCE_API_KEY or an OLLAMA_* key) makes search send the notes it matched to that model. If your shell already exports such a key, add -e RENOR_EVIDENCE_MODE=off (Codex: --env) when you register the server. Every setting and its default: docs/ENVIRONMENT-VARIABLES.md.
Search without embeddings. With nothing set, Renor uses no embedding model, so a note is found by its exact words: blue notebook finds "The blue notebook is on the desk", but where is my notebook? does not. Saved facts are found either way. For search by meaning, set EMBEDDING_PROVIDER=openai with OPENAI_API_KEY, or local to download a model once and run it on this machine, then run node dist/cli.js rebuild so existing notes are embedded (details).
More
- docs/self-hosting.md: troubleshooting, embeddings, the HTTP server with OAuth sign-in, connecting agents over HTTP, the tool lists, owner names, multi-agent ("hive") tools (set
RENOR_CONNECTION_NAMEper agent), and how the vault is protected. - skill/SKILL.md: instructions to give your agent so it recalls and saves memory without being asked. Most of it names the hosted tools (
get_context,remember); therenor-localserver above has other names (search,remember_fact,note), listed in its Stdio section.
Renor is a single-owner engine: one person's notes, one set of agents. It is not a multi-user product.
Contributing, license, security
Contributions are welcome. CONTRIBUTING.md covers setup and tests and lists good first issues. Renor's own code is AGPL-3.0-only (LICENSE); files imported from the upstream project stay ISC (NOTICE, UPSTREAM.md). Report vulnerabilities privately as described in SECURITY.md, not in a public issue.
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
