Context7
Up-to-date docs for AI agents
제작자가 쓴 설명(영어 원문)
Local-only MCP server for source-attributed Markdown memory and documentation retrieval.
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": {
"docmancer": {
"command": "uvx",
"args": [
"docmancer",
"mcp",
"serve"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add docmancer -- uvx docmancer mcp serve프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"docmancer": {
"command": "uvx",
"args": [
"docmancer",
"mcp",
"serve"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"docmancer": {
"type": "stdio",
"command": "uvx",
"args": [
"docmancer",
"mcp",
"serve"
]
}
}
}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 도메인 docmancer.dev 기준으로 확인되었어요(레지스트리가 도메인 소유를 확인해요)
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(0.9.17)은 3개월 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.
Your AI coding environment, restored on every machine.
Website · Documentation · Blog · Changelog · Discussions
Agent backup and restore are development-preview commands. Local encrypted archives are available now. Managed Cloud snapshots remain gated on migration and recovery acceptance.
Docmancer securely restores their sessions, memory, and setup, then makes the useful project context available to every agent you use.
Claude Code and Codex can search the files they already wrote on one machine. A normal dotfile tool can copy directories. Neither gives you an agent-aware, secret-stripped backup with structural verification, project mapping, conflict quarantine, and a reviewed path from raw history to shared project memory.
Start by seeing what Docmancer can protect:
docmancer backup --dry-run
Create a free passphrase-encrypted local archive:
docmancer backup --local --to ~/Backups/agents.dmbak
On a new machine, close Claude Code and Codex and preview the restore:
docmancer restore ~/Backups/agents.dmbak --dry-run
docmancer restore ~/Backups/agents.dmbak
Docmancer restores missing history, skips identical files, merges only safe configuration, and quarantines divergent sessions. It never copies authentication stores, .env files, literal MCP environment values, caches, logs, telemetry, or machine keys.
After backup or restore, local consolidation finds durable decisions and constraints in the protected histories. Every proposal links to exact transcript evidence and waits for review:
docmancer consolidate
docmancer consolidate --review PROPOSAL_ID docmancer consolidate --approve PROPOSAL_ID
Claude Code knows why you moved off Railway. Codex learned your migration convention. Cursor is still following a rule you overruled two months ago. Each agent wrote something down, none of them agree, and none of it is anywhere you can read.
That knowledge is real, and it is already on your disk. It is sitting in CLAUDE.md files, AGENTS.md files, Cursor rules, agent memory directories, and session history, in a different place and a different format for every tool you use.
Docmancer is built around two questions, in this order:
Nothing leaves your machine unless you ask it to. There is no telemetry, no account, and no API key needed for the core product.
pipx install docmancer
pipx ensurepath export PATH="$(pipx environment --value PIPX_BIN_DIR):$PATH" docmancer setup
pipx ensurepath makes the change persistent for future terminals. The export line makes Docmancer available in the current terminal immediately, which matters in an existing SSH session. If docmancer still reports command not found, reconnect over SSH and try again.
If you use uv, uv tool install docmancer installs it the same way.
setup finds every supported coding agent, shows you one complete plan and privacy warning, and waits for your confirmation before it changes anything. Then it indexes what it found, builds your canonical memory, installs the agent skills, and turns on automatic recall where the agent supports it.
Ask it something:
docmancer ask "Why did we choose Railway?"
You get a bounded, cited answer built from your own agents' evidence. Then open the app for the current project:
cd /path/to/your-project
docmancer web
That is the whole first run. It takes about a minute, and setup does not modify the project you are standing in.
One memory instead of six. Every supported agent reads from the same canonical Markdown, so a decision recorded once is available to Claude Code, Codex, Cursor, Gemini, and the rest without you copying it around.
Answers with receipts. Recall returns the mandatory policy, the curated memory, and the supporting agent evidence with stable citations, so you can see which agent said what and when. The optional language model turns that evidence into prose but never chooses what goes into it.
Files you own, not a database. Shared Memory is ordinary Markdown in ordinary directories. You can open it in your editor, commit it, grep it, or delete it. Stable docmancer://memory/ addresses keep working even after you move a file.
Local and offline by default. The default profile uses SQLite FTS5, sqlite-vec, and a small vendored embedding model. No daemon, no model download, no network call, no key.
Edits that cannot clobber each other. Changing or moving an existing memory file requires the content hash you last read, so one agent cannot silently overwrite a newer decision made by another.
Approval before anything is written. When you ask Docmancer to remember or change something, it prepares one complete file proposal and shows you the diff. The default answer is no, and a later "yes" in conversation never applies a stored proposal.
The complete product above is free on one machine. Optional paid Personal Sync adds encrypted transport, managed revision history, devices, and recovery when you work across a laptop, VPS, or other machines.
On the machine that already has your memory, run:
docmancer cloud connect
Sign in through the browser. Docmancer creates and checks a recovery kit, shows it once for offline storage, and starts the first encrypted upload automatically. The account page then asks for a payment method to start the 30-day trial. There is no separate recovery verification or first-sync command.
On the VPS or second machine, install Docmancer and run:
docmancer setup
docmancer cloud connect
The new machine shows a four-word pairing code. Run docmancer cloud connect on an already connected machine, confirm the same four words, and approve it. Then run the command once more on the new machine. Docmancer downloads the machine-wide Shared Memory tree and any project trees mapped on that machine. If every connected machine is unavailable, use docmancer cloud connect --recover and enter the offline recovery kit.
The selected monthly or yearly subscription begins automatically after the trial unless you cancel. A failed renewal has a fixed 7-day upload grace period, followed by a 30-day read-only pull and export window before hosted ciphertext is scheduled for deletion. Local memory and every local feature keep working in every billing state. See the Personal Sync guide for the full journey.
Run docmancer web and open Shared Memory. The left pane is the real file tree on disk, the middle pane reads the selected file with its provenance, and the right pane lists your connected agents. Select an agent to inspect the exact bounded projection it will receive, before it receives it.
The scaffold is opinionated, but the files are yours:
~/.docmancer/tree/ # machine-wide, follows you between projects
├── profile/ │ ├── about.md │ └── preferences.md ├── principles/ │ └── working-style.md ├── projects/ │ └── active.md └── shared/
/.docmancer/tree/ # per project ├── overview.md ├── decisions/ ├── constraints/ ├── workflows/ └── lessons/
docmancer setup installs everything it detects. To manage one integration on its own:
docmancer agent install claude-code --hooks
docmancer agent install codex --hooks
| Agent | Skill file | Automatic recall | Session capture | MCP |
|---|---|---|---|---|
| Claude Code | Yes | Yes | Yes | Yes |
| Codex (CLI, app, desktop) | Yes | Yes | Yes | Yes |
| Cursor | Yes | |||
| Cline | Yes | |||
| Gemini CLI | Yes | |||
| OpenCode | Yes | |||
| GitHub Copilot | Yes | |||
| Claude Desktop | Manual upload | Yes |
Installed skills teach an agent when to ask Docmancer for prior decisions and how to write deliberate memory when you explicitly request it, which is why every supported agent can use the same memory. Automatic recall and session capture need lifecycle hooks, and only Claude Code and Codex expose those today, so the other agents recall on demand through their skill file instead.
MCP is an alternative transport over the same local services, not a second memory store:
docmancer mcp install codex
docmancer mcp doctor
Discovery finds what your agents already wrote. When you want something recorded deliberately:
docmancer write $'# Deployment\n\nDeploy the API on Railway.' \
--path decisions/deployment.md \ --scope project
Read it back later, from any agent or from your shell:
docmancer read decisions/deployment.md
Or let Ask do it, with an approval step:
docmancer ask "Remember that production releases require a smoke test"
docmancer ask "Update decisions/release.md to require two reviewers" --apply
| Command | Purpose |
|---|---|
docmancer setup | Discover agent memory and connect every supported agent. |
docmancer ask "..." | Recall evidence, answer a question, or propose one memory change. |
docmancer web | Open the local app for the current project. |
docmancer common | Show what several agents recorded independently. |
docmancer delivery | Show installed integrations, recall state, and recent use. |
docmancer timeline | Show how curated memory changed over time. |
docmancer write ... --path file.md | Write one deliberate Markdown memory file. |
docmancer read | Read one memory file with its provenance. |
docmancer edit ... --expected-hash | Safely edit a memory file. |
docmancer move ... --expected-hash | Safely rename or move a memory file. |
| docmancer import ./notes | Copy arbitrary Markdown into the project inbox.
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요