Context7
Up-to-date docs for AI agents
제작자가 쓴 설명(영어 원문)
Git-native, review-gated knowledge base for LLM agents. Cited retrieval, audited writes.
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.
VOUCH_KB_PATH필요한 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": {
"vouch": {
"command": "uvx",
"args": [
"vouch-kb",
"serve"
],
"env": {
"VOUCH_KB_PATH": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add vouch --env VOUCH_KB_PATH=your-value -- uvx vouch-kb serve실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"vouch": {
"command": "uvx",
"args": [
"vouch-kb",
"serve"
],
"env": {
"VOUCH_KB_PATH": "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": {
"vouch": {
"type": "stdio",
"command": "uvx",
"args": [
"vouch-kb",
"serve"
],
"env": {
"VOUCH_KB_PATH": "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.
VOUCH_KB_PATH 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 6일 점검
레지스트리 이름이 GitHub 계정 vouchdev 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(1.2.2)은 4개월 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.
Git-native, review-gated knowledge base for LLM agents. MCP server + JSONL tool server + CLI.
Agents should not start every session with amnesia — but they shouldn't get to write whatever they want either.
vouch gives LLM agents durable memory with an explicit review gate: sessions capture themselves, agents *propose* writes, and nothing becomes durable knowledge until you approve it. Approved artifacts are plain files under .vouch/ — YAML claims, markdown pages — so the KB lives in your repo, is reviewed like code, diffs cleanly, and travels with git clone.
The destination is the one Andrej Karpathy's llm-wiki idea file sketches: stop using LLMs as search engines that rediscover your documents on every question — use them as tireless knowledge engineers that compile, cross-reference, and maintain a living wiki, while humans curate and think. vouch is that idea with the write path made trustworthy. vouch compile has an LLM draft the topic pages, but every page cites approved claims, every [claim: …] citation is machine-verified before the draft is filed, and the drafts pass through the same review gate as every other write. The LLM compiles; the human approves; the wiki compounds.
Often true — and worth being honest about. If you want your agent to remember things, a paragraph in CLAUDE.md, a memory file, or your host's built-in auto-memory gets you most of the way, costs nothing, and needs no install. Reach for that first. Recall is not a hard problem.
What is hard is *trust in the write path*, and that's a different problem than memory. Single-writer memory needs no trust model: you're the only author, and a bad line costs you a shrug. The moment writes come from more than one author — several agents, a teammate, a future you who forgot the context — the question stops being "what did we say?" and becomes "who decided this was true, on what evidence, and can I audit it later?" A prompt cannot answer that, no matter how good the prompt is.
That's the whole of vouch:
| one prompt / memory file | vouch | |
|---|---|---|
| Who can write | whatever the agent decides to save | agents *propose*; a human approves — nothing else lands |
| Why believe a line | vibes | every claim cites a content-hashed source; uncited is a validation error |
| When it's wrong | edit and hope | supersede / contradict / archive, with the old version still in history |
| Who changed it | file mtime | append-only audit log: who proposed, who approved, citing what, when |
| At n ≥ 2 writers | last write wins, silently | one gate, one reviewed history, shared by git clone |
| What you read | a growing pile of notes | compiled topic pages with verified citations — a wiki, not a log |
The same argument as a picture — at one writer the two are the same thing; the gap opens at the second writer and only widens:
So the honest pitch: vouch is not a better place to put memory — it's a review gate in front of one, and a wiki on the other side of it. If you're solo and happy, one prompt is genuinely fine; vouch's session capture runs passively alongside whatever your host already remembers, rather than replacing it. But once a fleet of agents writes to shared knowledge — or a team does — that pile of notes needs an editor, and an editor is not something you can prompt your way to. The case in full: docs/review-gate.md.
For the full UI experience (recommended first time):
docker run --rm -p 127.0.0.1:5173:5173 -v vouch-demo-data:/data ghcr.io/plind-junior/vouch-demo
Pre-seeded KB + full webapp console, zero setup. Pass -e ANTHROPIC_API_KEY=sk-ant-... to enable LLM features.
For the full UI without Docker — Python only, no clone, no node:
pipx install 'vouch-kb[web]' # the browser console ships inside the wheel
vouch serve --transport http --port 8731 & # a backend for the current .vouch/ vouch console # console at http://localhost:5173 — connect it to :8731
vouch console serves the same React console as the Docker demo, straight from the installed package.
For CLI + Claude Code integration (most common ongoing workflow):
# one-liner (Linux + macOS) — picks a Python, ensures pipx, installs vouch-kb
curl -fsSL https://raw.githubusercontent.com/vouchdev/vouch/main/install.sh | sh
vouch)pipx install vouch-kb
The one-liner is POSIX sh and never needs sudo — inspect install.sh first if you'd like.
For MCP server or CLI-only use:
docker run -i --rm -v "$PWD:/data" ghcr.io/vouchdev/vouch:latest # stdio MCP server
docker run --rm -v "$PWD:/data" ghcr.io/vouchdev/vouch:latest status # any CLI command
For local development — CLI and webapp, both running from source:
git clone https://github.com/vouchdev/vouch
cd vouch python3 -m venv .venv && source .venv/bin/activate pip install -e '.[dev,web]' # dev,web is what CI installs — make check needs both vouch --version # the CLI now runs straight from src/ — edits apply without reinstalling
make console # webapp in dev mode: vouch backend on :8731 + live-reload
make check # the CI gate: lint + type + test
make console needs node — it starts vouch serve --transport http and the Vite dev server as a pair, installing the console's node deps automatically on first run. To instead serve the console the way a release wheel does (no dev server), run make webapp-build once, then vouch console. See CONTRIBUTING.md for the full dev workflow.
After exploring the demo above, set up vouch in your own project:
1. Set up the KB and wire Claude Code (one command, one-time, per repo):
cd /path/to/your/project
vouch install-mcp claude-code # creates .vouch/ (if missing) + wires Claude Code
install-mcp initialises the KB when no .vouch/ is discoverable (pass --no-init to skip; vouch init still exists for KB-only setup), then writes .mcp.json (the kb.* MCP tools), the /vouch-* slash commands, and the weight-bearing hooks — SessionStart recall, UserPromptSubmit per-prompt recall, SessionEnd rollup. Per-tool PostToolUse observe / Stop answer are opt-in (capture.realtime; default off). It also registers vouch as a local-scope MCP server in ~/.claude.json (the ⚑ line in the output). Reload your editor window (VS Code: *Developer: Reload Window*) so it loads.
Why the extra registration? A committed
.mcp.jsonis a *project*-scope server, and Claude Code only loads one after a per-user approval — which the VS Code extension never prompts for, so.mcp.jsonalone leaves thekb_*tools invisible in the extension (they sit at "pending approval", while the hooks quietly work — easy to misread as "connected"). The local-scope entryinstall-mcpwrites is trusted on sight, so a fresh install just connects. Verify withclaude mcp list(vouch … ✔ Connected). Pass--no-approveto skip it and approve.mcp.jsonyourself.
What you'll see. Every prompt is checked against the KB first. When vouch knows something relevant, the answer opens with "From vouch memory:", grounded in the cited items; when it doesn't, it opens with *"Nothing in vouch on this."* — recall is visible on every turn, never silent. (A fresh KB knows almost nothing yet: work a session or two so capture fills it, then ask about the project again.)
Prefer one install for every project?
vouch install-mcp claude-code --globalwires vouch once, machine-wide: user-level hooks and commands in~/.claude/plus a user-scope MCP server in~/.claude.json. Every Claude session in every folder then captures + recalls into *that folder's own*.vouch/— data stays per project. Runvouch initonce in each project you want vouch in; by default a folder without a KB never captures anywhere — its session opens with a one-line "runvouch initto enable durable memory here" note and thekb_*tools say the same. Safe next to existing per-project installs: duplicate hooks collapse and capture dedups by event id.
Optionally, a personal catch-all KB. The global install asks one question (or pass
--personal-fallback; later:vouch hub init-personal --fallback): opt in, and folders *without* a project KB capture into a personal KB at~/.local/share/vouch/personalinstead of nowhere — each captured source stamped with the folder it came from, and the session banner saying exactly where the knowledge is going. It is one store shared by every KB-less folder: recall in any of them reads the whole personal KB, so knowledge captured while working in one such folder can surface in another (the injected block says so). Projects with their own.vouch/are never affected. When such a folder later becomes a real project,vouch init+ `vouch adopt` moves its captures into the new project KB *through that KB's own review gate*: sources copy byte-identically, every claim is re-proposed and its byte-offset receipt re-verified, and the project's review config decides durability — adoption never bypasses review. Strictly opt-in; without it, nothing changes.
2. Point `compile` at an LLM — the only step that needs a model. In .vouch/config.yaml:
compile:
llm_cmd: "claude -p --model sonnet"
3. Work a session — it captures itself. Use Claude Code normally. Each tool call is harvested into a gitignored scratch buffer, and at session end the buffer rolls up — mechanically, no LLM — into one pending session-summary page. Never auto-approved: the next session greets yo
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요