Context7
Up-to-date docs for AI agents
제작자가 쓴 설명(영어 원문)
Local-first knowledge management with bi-directional LLM sync via Markdown files.
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.
필요한 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": {
"basic-memory": {
"command": "uvx",
"args": [
"basic-memory"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add basic-memory -- uvx basic-memory프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"basic-memory": {
"command": "uvx",
"args": [
"basic-memory"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"basic-memory": {
"type": "stdio",
"command": "uvx",
"args": [
"basic-memory"
]
}
}
}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.
이 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 6일 점검
레지스트리 이름이 GitHub 계정 basicmachines-co 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(1.0.0)은 7일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv)도 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.
Claude, Codex, or Cursor connected in 30 seconds. No Python, no JSON, no terminal. $15.00/mo locked in for life (12.50/mo yearly pricing). 7-day free trial — cancel any time before day 7 if it's not for you. Beta pricing — sign up now and your rate never goes up. OSS users: code BMFOSS takes another 20% off for 3 months.
Give your team a single, shared cloud workspace. Knowledge isn't confined to one person — anything a teammate writes is immediately available to everyone else and to their AI assistants. Edit a note together in real time, hand work off between humans and agents, and build one connected knowledge base instead of scattered copies. Same pricing - start with one user and add more as needed.
Pick up right where you left off — in Claude, Codex, Cursor, ChatGPT, or anything that speaks MCP. Your knowledge lives as Markdown files that both you and your AI can read, write, and search.
Pick the path that fits you. Both run the same product on the same Markdown.
☁️ Cloud 💻 Local install
30 seconds. Sign up, connect your AI client, done.
$15.00/mo locked for life · 7-day free trial · cancel any time
2 minutes. Install, configure your AI client, run.
uvuv tool install basic-memory --prerelease=allow
--prerelease=allow is required: Basic Memory 0.23 depends on a FastMCP 4 pre-release, and uv only accepts pre-releases of transitive dependencies when told to — without the flag it silently installs an older release. The same flag goes on every uvx / uv tool upgrade command below.
For Postgres deployments that store semantic vectors in Milvus, install the first-party optional extra instead:
uv tool install "basic-memory[milvus]" --prerelease=allow
Configure your client ↓
Basic Memory changed my whole relationship with LLMs. I switched from GPT
and Gemini to exclusively Claude and Claude Code because of this
integration and am completely revamping all our company's processes around
a Basic Memory workflow.
— Alex, TrainerDay
Basic Memory is the missing 'wow' factor in AI chatbots. Now I can't
imagine Claude or Claude Code without it.
— Caleb, Caleb Picker Consulting
I don't code without Basic Memory anymore. It's such a time saver to be
able to refer to projects I don't currently have active and keep a running
log of all my learnings and ProTips.
— @groksrc, Developer
More on basicmemory.com.
The hosted version of Basic Memory. Same product, same Markdown files, same MCP tools — we just host the database, run the sync, and put it on your phone.
Built on WorkOS AuthKit, Neon Postgres, and Tigris S3.
$15.00/mo, locked in for the life of your subscription (regular price $19). Sign up during beta and the rate never goes up — as long as you stay subscribed, you keep the price. One plan, no tiers, no surprise upgrades. Unlimited notes, unlimited projects, every feature.
BMFOSS for another 20% off for 3 months (~$11.40/mo).| Cloud | Local | |
|---|---|---|
| Setup time | 30 seconds | 2 minutes (requires Python) |
| Cost | $15.00/mo, locked for life (7-day trial) | Free |
| Storage | We host (Tigris S3) | Your disk |
| Cross-device sync | Built in | Manual (Git, Syncthing, etc.) |
| Mobile access | Yes (web + app) | No |
| Air-gapped | No | Yes |
| Your data stays yours | Yes — export anytime | Yes — already there |
| Source code | AGPL-3.0 | AGPL-3.0 |
| Snapshots & backups | Built in | Roll your own |
Both paths use the same OSS engine and the same Markdown files. There's no lock-in either way — flip between them when your needs change.
| Client | Transport | Notes |
|---|---|---|
| Cloud web app | https | Sign in at basicmemory.com — no install |
| Claude Desktop | stdio/https | macOS / Windows / Linux |
| Claude Code | stdio/https | claude mcp add |
| Codex | stdio/https | OpenAI's coding agent |
| Cursor | stdio/https | .cursor/mcp.json |
| VS Code | stdio/https | Native MCP support |
| ChatGPT | https | Custom GPT actions (search / fetch) |
| Obsidian | — | Reads/writes the same Markdown directly |
| Anything MCP | stdio/https | If it speaks MCP, it works |
This repository is also the canonical home for Basic Memory's host-native agent packages. The core Python package, Claude Code plugin, shared skills, Hermes plugin, and OpenClaw plugin all ship from the same source tree.
Maintainers can verify the whole consolidated surface from the repo root:
just package-check
Package-local justfiles are also available when working inside one host:
just package-check-claude-code
just package-check-skills just package-check-hermes just package-check-openclaw
The Claude Code plugin is the bridge between Claude's working memory and Basic Memory — session-start briefings, pre-compaction checkpoints, an opt-in capture output style, and /basic-memory:bm-setup · :remember · :share · :status.
Connect the Basic Memory MCP server first — see Connect your AI client. The plugin's hooks and skills call it, so it's a hard prerequisite. Then install the plugin:
bm install claude-code
That registers the marketplace and installs the plugin through Claude Code. Add --scope project to declare both in the repository's settings for a team, or --dry-run to see the underlying claude plugin commands without running them.
Source: plugins/claude-code.
Framework-agnostic SKILL.md files live in skills/. If your Skills CLI supports repository subdirectory sources:
npx skills add basicmachines-co/basic-memory/skills -g
For Claude and ChatGPT, upload basic-memory.zip or basic-memory-chatgpt.zip from the skills-latest release; see skills/README.md.
If your installed Skills CLI cannot load that source, update the CLI or copy the memory-* directories from skills/ into your agent's skills directory.
Hermes keeps its native plugin shape under integrations/hermes:
hermes plugins install basicmachines-co/basic-memory/integrations/hermes
Hermes does not install a plugin's Python dependencies, so also add the mcp package to the Hermes venv — see the plugin README for that step and the supported Hermes releases.
OpenClaw stays package-native and publishes from integrations/openclaw:
openclaw plugins install @basicmemory/openclaw-basic-memory
https://github.com/user-attachments/assets/a55d8238-8dd0-454a-be4c-8860dbbd0ddc
If you went the Cloud route, the web app walks you through client connect. The snippets below are for local installs.
Edit ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": { "basic-memory": { "command": "uvx", "args": ["--prerelease=allow", "basic-memory", "mcp"] } } }
Restart Claude Desktop. Notes live in ~/basic-memory by default.
Claude Code, Codex CLI, Cursor, VS Code, ChatGPT, Obsidian
claude mcp add basic-memory -- uvx --prerelease=allow basic-memory mcp
For the full memory bridge — session briefings, pre-compaction checkpoints, and the /basic-memory:* commands — also install the Claude Code plugin on top of this.
Add to ~/.codex/config.toml:
[mcp_servers.basic-memory]
command = "uvx" args = ["--prerelease=allow", "basic-memory", "mcp"]
Codex can keep its default MCP approval behavior, or you can pre-approve eligible Basic Memory tools by adding this server-scoped setting to the same table:
[mcp_servers.basic-mem앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요