Context7
Up-to-date docs for AI agents
제작자가 쓴 설명(영어 원문)
Persistent memory for AI agents: save, search and connect context across tools and sessions.
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.
웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:
https://empirical.gauzza.com/mcp터미널에서 이 명령어를 실행하세요
claude mcp add --transport http empirical https://empirical.gauzza.com/mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"empirical": {
"url": "https://empirical.gauzza.com/mcp"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"empirical": {
"type": "http",
"url": "https://empirical.gauzza.com/mcp"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:
https://empirical.gauzza.com/mcp메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
서버가 도구 목록을 보여 주기 전에 로그인을 요구해요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
레지스트리 이름이 GitHub 계정 mattgauzza 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
141ms 만에 응답(HTTP 401)
OAuth 로그인을 지원한다고 밝혀서, AI 앱이 로그인 화면으로 안내해 줘요
아직 점검하지 않았어요. 엔드포인트를 점검할 때 도구 목록을 읽어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 3개 중 3개를 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.
제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.0.1)은 그저께 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
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.
Cross-tool, cross-project memory for Claude Code, Codex CLI, and GitHub Copilot CLI, powered by Empirical.
Start an idea in ChatGPT, pick it up in your coding agent with full context carried over. Track leads and relationships as durable memory instead of a separate CRM. Organize memory into separate workspaces for personal, team, or client contexts. Recalls prior decisions, preferences, and conventions across sessions and projects, and persists new durable ones as you work — so you don't have to re-explain context you've already given elsewhere.
empirical-memory: the required core memory Skill and MCP server connection.empirical-work-history: optional concise completed-work summaries.empirical-scar-tissue: optional recurring failure patterns and prevention guidance.empirical-todo: optional project-based todos with status and next actions.empirical-voice: optional writing in your own saved Empirical writing voice (needs a voice saved with the paid Writing Voice interview).Each capability is a separate marketplace plugin, so users can install or remove optional capabilities without changing the core memory connection.
Package documentation:
Claude Code
claude plugin marketplace add mattgauzza/empirical-memory-plugin
claude plugin install empirical-memory --scope user claude plugin install empirical-voice@empirical-memory --scope user # optional, writing voice
Codex CLI
codex marketplace add mattgauzza/empirical-memory-plugin
codex plugin add empirical-memory@empirical-memory
or browse/install via the /plugins command.
GitHub Copilot CLI
copilot plugin marketplace add mattgauzza/empirical-memory-plugin
copilot plugin marketplace update empirical-memory copilot plugin install empirical-memory@empirical-memory
or use the /plugin install slash command.
empirical CLIThe MCP tools work standalone, but the Skills prefer the empirical CLI when it is available. The CLI provides the most reliable auth path, direct memory commands, and avoids an extra MCP tool-discovery round trip. It is not bundled with this plugin; install or update the latest version separately:
npm install -g @empirical-gauzza/cli
For a first-time setup, run the interactive installer to connect the CLI and supported coding agents:
empirical install
Installing or updating the latest CLI does not require rerunning empirical install. Use empirical plugin install all when you only want to refresh the native plugin, or let the CLI offer a one-time update when a newer marketplace plugin is detected during interactive use. You can check immediately with empirical plugin check --force.
For normal interactive CLI use without a permanent API key, run empirical auth login to sign in through the browser and save a local OAuth session. Headless bootstrap is still available for automation and external runtimes.
If you only want the plugin's MCP connection, you can skip the CLI installation.
If the CLI is already installed and you only need to install or refresh the native plugin, use:
empirical plugin install codex # or copilot, claude, or all
Add optional capabilities explicitly with --work-history, --scar-tissue, --todo, --voice, or --all-optional. For example, empirical plugin install claude --voice installs empirical-voice, which writes in your saved Empirical writing voice (a paid feature; it needs a voice saved first). You can also use the native marketplace command: claude plugin install empirical-voice@empirical-memory --scope user.
This does not run the full MCP/auth questionnaire or modify global instruction files.
Optional capabilities selected by the empirical install questionnaire are installed through the same marketplace pathway. Neither records raw transcripts or secrets. Personalized answers are stored as the server-side Empirical policy and cached locally for native skills; they are not written into global AGENTS.md, CLAUDE.md, or Copilot instruction files.
skills/empirical-memory/ contains four files, not one:
SKILL.mcp.md — for installs where the user chose MCP-only. Leads with MCP tools, mentions the CLI only as an aside.SKILL.cli.md — for installs where the user chose CLI-direct. Leads with empirical CLI commands as the confidently-recommended path, MCP mentioned only as a fallback.SKILL.both.md — for installs where the user chose both. CLI preferred where available (a latency/scripting preference, not a safety one now that both paths dedupe and auto-link the same way), MCP as fallback.SKILL.md — the file every host's native plugin mechanism actually reads (Claude Code, Codex CLI, and GitHub Copilot CLI all resolve a plugin's skill from the literal SKILL.md filename; none of their manifest schemas support selecting among sibling variant files at install time). Kept identical to SKILL.both.md, since "both" is the safest default for any consumer that hasn't been made mode-aware (an old CLI version, a direct git clone, a host with no CLI installed at all).The empirical CLI is what actually makes the mode choice matter: after a native plugin install or update, it overwrites the on-disk SKILL.md for that host with the variant matching the user's chosen integration mode (see packages/cli/lib/installers/nativePlugin.js in the main empirical_v2 repo). If that overwrite step is missing, out of date, or fails, every install still gets a working "both" skill from this repo — never a missing or broken one.
When editing skill content: update SKILL.mcp.md, SKILL.cli.md, and SKILL.both.md for the mode-specific "how to query" / "how to record" mechanics; keep the shared policy sections (Before doing work, Follow the current user policy, Persist durable context, Authored Skills and Kits, Authentication and failures) consistent across all three by hand — there is no build step that enforces this. After editing SKILL.both.md, copy it over SKILL.md so the two never drift:
cp skills/empirical-memory/SKILL.both.md skills/empirical-memory/SKILL.md
This repo publishes to four hosts, each with its own manifest format. All of them are generated from a single source of truth, meta/manifests.json:
| Generated file | Host |
|---|---|
.claude-plugin/plugin.json, .claude-plugin/marketplace.json | Claude Code |
.codex-plugin/plugin.json | Codex CLI |
.github/plugin/marketplace.json | GitHub Copilot CLI |
.agents/plugins/marketplace.json | generic AGENTS.md |
plus a .claude-plugin/ and .codex-plugin/ pair under each directory in plugins/.
Do not hand-edit those files. Edit meta/manifests.json, then regenerate:
node scripts/build-manifests.mjs # write the manifests
node scripts/build-manifests.mjs --check # verify nothing drifted (CI runs this) claude plugin validate . --strict # same validator the plugin directory runs npm install --no-save yaml && node scripts/check-skills.mjs # every SKILL.md frontmatter must be valid YAML
To bump a version, change it in one place: the plugin's version in meta/manifests.json. The marketplace metadata.version follows the root plugin automatically.
Host-specific fields belong to their host. interface is a Codex/Copilot block; Claude Code silently ignores unknown top-level fields, so putting interface in a .claude-plugin/ file does nothing. Claude's equivalents are displayName, description, and homepage, and it has no counterpart for longDescription, category, capabilities, or defaultPrompt. The generator encodes this mapping.
MIT