Context7
Up-to-date docs for AI agents
제작자가 쓴 설명(영어 원문)
Local-first, persistent memory for AI coding agents — remember, recall, forget, and list, over MCP.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
NORN_DETECT_CONFLICTS필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"norn": {
"command": "npx",
"args": [
"-y",
"@samad001z/norn-server"
],
"env": {
"NORN_DETECT_CONFLICTS": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add norn --env NORN_DETECT_CONFLICTS=your-value -- npx -y @samad001z/norn-server실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"norn": {
"command": "npx",
"args": [
"-y",
"@samad001z/norn-server"
],
"env": {
"NORN_DETECT_CONFLICTS": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"norn": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@samad001z/norn-server"
],
"env": {
"NORN_DETECT_CONFLICTS": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
NORN_DETECT_CONFLICTS env이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 samad001z 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.2.3)은 4개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: Context7, Codebase Memory, Exa
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Up-to-date docs for AI agents
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Persistent, visible memory for AI coding agents.
[Live site](https://norn-web-three.vercel.app) · Releases · Quickstart · Connect your AI tool
Your AI forgets you every session. Norn is a local MCP server that remembers your decisions, preferences, and project context across every session and project, for Claude Code, Cursor, and any MCP client. Unlike most memory tools it is fully local and fully inspectable: a dashboard lets you see exactly what it stored and forget anything you do not want.
What you need: just Node.js 20 or newer — you don't install Norn separately, the command below fetches it automatically. Check with node --version; if it's missing or below v20, grab the LTS from nodejs.org.
Connect to Claude Code — one command, no clone:
claude mcp add norn -- npx -y @samad001z/norn-server
Or use the CLI in your terminal — run it on demand, or install the norn command:
npx @samad001z/norn-core list # no install — npx fetches it each time
npm install -g @samad001z/norn-core # or put the norn command on your PATH
Any other MCP client — add this to its MCP config:
{
"mcpServers": { "norn": { "command": "npx", "args": ["-y", "@samad001z/norn-server"] } } }
Restart your tool. Norn registers four tools: remember, recall, forget, list.
Optional — flag possible conflicts: add
"env": { "NORN_DETECT_CONFLICTS": "1" }
to the config above and Norn will surface memories that might disagree, for you to
resolve in the dashboard. Off by default; it downloads a small extra model the first
time it finds a candidate, and it never changes your store on its own.
Not sure where that config goes? The [Connect Norn to your AI tool](docs/connecting.md)
guide has exact, copy-paste setup for Claude Desktop, Cursor, Windsurf,
VS Code + GitHub Copilot, and Gemini CLI — plus a beginner "what you need" and
troubleshooting. (VS Code + Copilot uses a
serverskey instead ofmcpServers.)
Verify it's connected: tell your assistant *"Remember that I prefer pnpm over npm,"* then in a new chat ask *"What package manager do I prefer?"* — it should answer pnpm by calling Norn's recall tool.
The first
rememberorrecalldownloads a local embedding model
(all-MiniLM-L6-v2, ~25 MB) once, then runs fully offline.
Or run from source
git clone https://github.com/samad001z/Norn.git
cd Norn npm install npm run build -w @samad001z/norn-core && npm run build -w @samad001z/norn-server claude mcp add norn -- node "$(pwd)/server/dist/index.js"
Memory survives across sessions, and recall is semantic: it matches meaning, not keywords.
Session 1
You: Remember that we deploy to production from the main branch on Vercel.
Claude calls
remember("deploy to production from the main branch on Vercel", project: "acme")
Session 2, the next day, in a fresh context window
You: How do we ship to prod?
Claude calls
recall("how do we ship to prod")
Norn returns "Deploy to production from the main branch on Vercel." even though the
query shares no keywords with the stored note.
Norn does not record your sessions. It is a memory store, not a logger — it never silently captures your prompts, code edits, or terminal commands. A memory exists only when the agent calls remember(), which happens in two ways:
main on Vercel."* The agent calls remember(...) and the note is saved.That is the point: you decide what's kept, so the store stays signal, not noise. The flip side is that if you never ask, nothing is saved — so a sparse dashboard after a long working session is expected, not a bug. The work itself lives in git; Norn is for the durable facts you want recalled later.
A few habits that make it pay off:
recall() on demand.Everything saved this way shows up in the dashboard, and you can forget any of it.
Three local pieces share one local database:
Claude Code / Cursor ──MCP (stdio)──► Norn MCP server ┐
├──► ~/.norn/norn.db Dashboard (Next.js) ────────────────────────────┘ (SQLite + sqlite-vec)
/server): exposes remember, recall, forget, list over stdio./core): SQLite + sqlite-vec, with embeddings from a local MiniLM model (no API key). recall blends semantic similarity with recency and trims results to a token budget; remember dedupes near-identical notes./web): a Next.js app to browse and manage everything.All three resolve to the same store, so a memory written by your agent appears in the dashboard, and a memory you forget in the dashboard is gone for the agent too. The store is chosen in this order:
NORN_DB_PATH, if set — an explicit override always wins..norn/norn.db, walking up from the working directory (see Per-project memory).~/.norn/norn.db.With no project store and no override, this is the original behavior: one global ~/.norn/norn.db.
Give a repo its own memory that ships with it. From the project root:
npx @samad001z/norn-core init # or: norn init
This creates a .norn/ directory holding that project's norn.db. Because each project has its own database file, memories never bleed across projects: an agent working in one repo only sees that repo's memory.
Norn finds your project the way git does — by walking up from the working directory to the nearest ancestor that contains a .norn/ directory. Run your agent (or the CLI) anywhere inside the repo and it resolves to the same store. The store is chosen in this order:
.norn/norn.db, walking up from the working directory.Even without norn init, projects stay isolated in the shared global store: every memory is stamped with the project root it was written under (a scope, derived from the nearest .git/.norn ancestor — distinct from the freeform project label), and recall only returns the current project's memories plus global ones. Separate db files are the primary isolation; the scope stamp is defense in depth for the shared store.
norn export/norn importare available from v1.1 onward. On earlier versions,
commit the binary
norn.dbdirectly (the defaultnorn initsetup).
norn.db is a binary SQLite file — it holds embedding vectors, so it has no readable git diffs and can conflict on merge. To version your memory cleanly, commit a diffable text export instead and let each checkout rebuild its own database:
norn export # writes .norn/memory.json — text, tags, project, ids, timestamps (no vectors)
memory.json is sorted deterministically, so re-exporting an unchanged store produces an empty diff. Embeddings are not stored in it; they are regenerated locally on import, so the file stays small and review-friendly. Commit it and gitignore the binary store with a .norn/.gitignore like:
# .norn/.gitignore — commit memory.json, ignore the binary store.
norn.db norn.db-wal norn.db-shm norn.db-journal
norn init(v1.1+) writes exactly this.gitignorefor you, somemory.jsonis the
committed artifact out of the box. Prefer to commit the binary
norn.dbinstead — no
import step on clone, at the cost of readable diffs? Just delete the
norn.dbline.
On a fresh clone, rebuild the local database from the committed file:
norn import # reads .norn/memory.json and regenerates embeddings locally
import upserts by id, so it is safe to re-run; it never duplicates a memory.
A self-contained, copy-paste walkthrough (uses npx, no install; needs Node 20+ and git):
# 1. Two separate projects, each with its own committed memory store.
mkdir -p /tmp/demo/alpha /tmp/demo/beta
cd /tmp/demo/alpha npx @samad001z/norn-core init npx @samad001z/norn-core remember "Alpha API rate limit is 600 requests per minute per token"
cd /tmp/demo/beta npx @samad001z/norn-core init npx @samad001z/norn-core remember "Beta deploys to prod from the main branch on Vercel"
npx @samad001z/norn-core recall "what is the request rate limit"
cd /tmp/demo/alpha npx @samad001z/norn-core export # writes .norn/memory.json git init -q && git add .norn/memory.json && git commit -qm "Add project memory"
mkdir -p /tmp/demo/alpha-clone/.norn cp .norn/memory.json /tmp/demo/alpha-clone/.norn/memory.json
cd /tmp/demo/alpha-clone npx @samad001z/norn-core import # regenerates embeddings locally npx @samad001z/norn-core recall "what is the request rate limit"
NORN_DETECT_CONFLICTS=1 and Norn flags memories that might disagree so you choose which to keep — it never auto-resolves, edits, or deletes. Off by default; the extra model only downloads once you turn it on.remember, recall, and forget as it happens, plus conflicts that need your call. See Norn Live.Local by default. The store is a SQLite file on your disk, the embedding model runs on your machine, and nothing leaves it: no account, no API key, no telemetry. Delete ~/.norn/norn.db and the memory is gone.
The dashboard lets you browse by project, search, and forget any m
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요