Context7
Up-to-date docs for AI agents
제작자가 쓴 설명(영어 원문)
Local Markdown/Obsidian knowledge substrate for MCP agents with governed memory and hybrid search.
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": {
"exomem": {
"command": "uvx",
"args": [
"exomem"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add exomem -- uvx exomem프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"exomem": {
"command": "uvx",
"args": [
"exomem"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"exomem": {
"type": "stdio",
"command": "uvx",
"args": [
"exomem"
]
}
}
}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 7일 점검
레지스트리 이름이 GitHub 계정 Artexis10 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(0.162.0)은 오늘 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.
Durable memory with sources, proof, history, and review for MCP-capable agents.
exomem turns an owned Markdown/Obsidian vault into a local knowledge substrate for Codex, Claude Code, Cursor, chatbots, CLI agents, and any client that can call MCP tools. Your files stay plain, local, portable, and editable outside the server.
agent -> MCP tools -> exomem -> your Markdown / Obsidian vault
uvx exomem demo
One command, no install, no config, no vault of your own needed:
exomem demo — bundled sample vault, keyword mode, fully local
vault: /tmp/exomem-demo-XXXXXX
demo PASS — total 1.0s. This is your proof: agents search files you own. Next: connect your own vault with exomem setup
Runs fully local and read-only against a sample vault bundled in the package. Add --keep to leave that copy on disk afterward and open it in Obsidian.
Mac / Linux — paste into Terminal:
curl -fsSL https://raw.githubusercontent.com/Artexis10/exomem/main/scripts/install.sh | sh
Windows — paste into PowerShell:
irm https://raw.githubusercontent.com/Artexis10/exomem/main/scripts/install.ps1 | iex
Either one installs uv, installs exomem, and walks you through exomem setup, which wires up every agent client on the machine — Claude Code and Codex both get the MCP server, all ten skills, and the capture/retrieve hooks.
Safe to run again later — it skips whatever's already done. If it can't prompt you interactively (e.g. run from another script), it prints the exact command to run next instead of guessing. Prefer to run each step yourself? See below or the full manual walkthrough in QUICKSTART.md.
The plugin carries the skills and hooks. Its MCP entry is an optional shared HTTP URL; it deliberately does not auto-start a full stdio server in every Claude Code session:
/plugin marketplace add Artexis10/exomem
/plugin install exomem@exomem
Then choose the route. If you already run Exomem as a service for phone or hosted access, reuse that one authenticated core:
exomem setup --vault "/path/to/vault" --mcp-url https://<host>/mcp
For local-only use, run exomem setup --vault "/path/to/vault" --stdio. Stdio is intentionally explicit because each client session owns its process and can load its own embedding runtime. When updating from an older plugin, run /plugin update exomem@exomem, then /reload-plugins or restart Claude Code before rerunning setup.
Neither platform can install skills programmatically — upload is manual. Build the archives, then upload them in the client's settings:
exomem package-skills # writes dist/skills/*.zip (all ten)
Point the client at your server as a connector (see docs/remote-quickstart.md). Neither platform has a hook system, so capture there is skill-driven rather than automatic.
uv tool install exomem # or: pip install exomem
exomem setup --vault "/path/to/your/Obsidian"
Re-running the one-line installer upgrades an existing uv-tool install instead of leaving an older exomem command on PATH. exomem --version --json is a model-free provenance check, so it also works in the intentional lean CLI paired with a fuller managed service.
One command does the whole local setup: the wizard scans your vault and shows what's already there, initializes Knowledge Base/, runs the doctor preflight, registers the server with every client it detects (Claude Code and Codex), and installs the skills into each.
If cwd .env or the process contains EXOMEM_BASE_URL, setup registers its canonical /mcp endpoint with Claude Code and Codex so they share the existing service. Otherwise it uses the explicit local stdio fallback. Use --mcp-url to choose a service directly, --stdio to force local stdio, and --replace-client-registration when you deliberately want to replace an existing manual route. Native clients handle OAuth; setup never stores bearer tokens.
Config files it did not create are treated as yours: it merges rather than overwrites, backs the file up first, and prints the diff.
Already have a vault full of notes? That's the normal case: adopt gives a scan-first, read-only report of what's there, suggested knowledge packs, and safe copy/compile-planning next actions. Exomem only ever writes under Knowledge Base/ — your existing files stay untouched unless you explicitly copy or compile selected material. See QUICKSTART.md § Already have a vault full of notes? for the full contract, including daily-notes vaults. Re-running setup is safe; completed steps report [skipped]. Non-interactive: exomem setup --yes --vault "/path" --lean.
The individual steps (exomem init / doctor / install-skill / install-hook, plus claude mcp add) still exist as the manual path — see QUICKSTART.md.
The skill installs under the Claude Code name exomem — the same name as the connector, so skill, server, and tools all read as one product. The skill is recommended for Claude Code — the server gives Claude the tools, the skill is what makes it use them. Hooks are local-client reliability helpers for Claude Code and Codex: a read-side reminder before answers, a write-side reminder at natural stopping points, and a shared local continuation checkpoint around compaction. The checkpoint stores bounded structural evidence (repository state, artifact hashes/counts, and transcript provenance hashes), never conversation, tool, summary, or artifact content. It needs no MCP connection or Exomem credential. The read-side hook suppresses obvious control/status prompts like continue, merge it, and are you done?, and can optionally upgrade that reminder to real retrieved KB content (EXOMEM_RETRIEVE_INJECT=1, opt-in; the legacy KB_RETRIEVE_INJECT name still works) — or, with EXOMEM_RETRIEVE_INJECT=working_set, to a compiled recall_context packet under a data header, bounded by EXOMEM_RETRIEVE_INJECT_MAX_CHARS (default 4,000). For Codex, run exomem install-hook --client codex; for Claude Code, exomem install-hook — see QUICKSTART.md § 7. Both clients checkpoint on manual or automatic PreCompact and reinject on SessionStart(compact|resume); Claude also checkpoints on SessionEnd. Pinned Codex CLI 0.144.3 has no SessionEnd hook, so Exomem does not invent one. Other MCP clients can still use the server. If they do not support Skills, have them call bootstrap() once at the start of the session; it returns the same compact operating contract through MCP, including when to search, when to save, workflow-skill discovery, upload guidance, and performance profiles. It also teaches the authoring loop: search first, draft the typed note, run suggest_links, write with the right tool, inspect warnings/suggestions, then report the path.
How eagerly it does that is tunable: four prominence levels (off / light / balanced / maximal), set with exomem prominence or pasted into a web assistant's custom instructions. Clients with hooks default to balanced; web and hosted default to maximal, because nothing there re-arms the check between turns. See docs/prominence.md for the levels and the copy-paste blocks.
For client-specific assistant instructions, see docs/ai-assistant-guide.md. For the boundary between Exomem and a chat product's built-in memory, see docs/vs-built-in-memory.md.
Full local setup is in QUICKSTART.md. Remote/mobile setup is in docs/remote-quickstart.md and docs/deployment.md.
Remote OAuth uses GitHub once to prove the configured login plus immutable user ID, then issues an Exomem-owned durable session. Operators can inspect and revoke those sessions with exomem auth sessions, exomem auth revoke , and exomem auth revoke --all; session administration is never an MCP tool.
The product model is intentionally simple: built-in AI memory remembers preferences and routing, while Exomem stores durable governed knowledge with sources, proof, history, decisions, records, and review. See docs/product-model.md for the full mental model, docs/records.md for human-owned longitudinal Records, docs/tui.md for the interactive terminal UI (exomem tui, optional tui extra), docs/review-studio.md for the packaged browser review loop, docs/epistemic-inbox.md for daily review and relation repair, docs/knowledge-packs.md for pack/admin details, and docs/workflow-skills.md for the named agent workflows.
For development, or to run the sample vault from a checkout instead of a package install:
git clone https://github.com/Artexis10/exomem.git
cd exomem uv sync uv run exomem demo
| Client | How |
|---|---|
| Claude Code | exomem setup registers it for you (see above) |
| Codex CLI | codex mcp add plus optional exomem install-hook --client codex - see docs/ai-assistant-guide.md#codex-cli |
| claude.ai or hosted chat | Remote MCP/connector - see docs/remote-quickstart.md and docs/ai-assistant-guide.md#hosted-chat-clients |
| Any MCP client | Generic stdio config - see below and docs/ai-assistant-guide.md#generic-stdio-mcp-clients; call bootstrap() first |
| Docker (no Python) | One docker run line — see below and docs/docker.md |
Codex CLI
codex mcp add exomem --env EXOMEM_VAULT_PATH="/path/to/vault" -- exomem --transport stdio
Optional local hooks, using the same Exomem scripts as Claude Code:
exomem install-hook --client codex
Verify deployed Claude Code/Codex hooks without changing anything:
exomem install-hook --check
For the AGENTS.md instruction block and the "do not search every tiny prompt" policy, see docs/ai-assistant-guide.md.
Or add it directly to ~/.codex/config.toml:
[mcp_servers.exomem]
command = "exomem" args = ["--transport", "stdio"] env = { EXOMEM_VAULT_PATH = "/path/to/vault" }
Any MCP client (generic stdio)
{"mcpServers": {"exomem": {"command": "exomem", "args": ["--transport", "stdio"], "env": {"EXOMEM_VAULT_PATH": "/path/to/vault"}}}}
After connecting, ask the agent to call bootstrap() before using the KB. Cl
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요