Context7
Up-to-date docs for AI agents
제작자가 쓴 설명(영어 원문)
Local memory for Claude Code: 13 MCP tools for semantic recall, file replay, and git history.
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": {
"longhand": {
"command": "uvx",
"args": [
"longhand",
"mcp-server"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add longhand -- uvx longhand mcp-server프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"longhand": {
"command": "uvx",
"args": [
"longhand",
"mcp-server"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"longhand": {
"type": "stdio",
"command": "uvx",
"args": [
"longhand",
"mcp-server"
]
}
}
}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 Wynelson94 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(1.3.1)은 그저께 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.
Using Codex too? Share one memory archive between Claude Code and Codex.
Persistent local memory for Claude Code. Every tool call, every file edit, every thinking block from every Claude Code session — stored verbatim on your machine. Searchable, replayable, and recallable by fuzzy natural-language questions. Zero API calls. Zero summaries. Zero decisions made by an AI about what's worth remembering.
Claude Code quietly rotates your session files after a few weeks. Longhand captures them into SQLite before they're gone. Once ingested, your history stays forever — even after the source JSONL files are deleted. Install early; the past you don't capture is unrecoverable.
If you have 20+ Claude Code sessions in `~/.claude/projects/`, Longhand can search across every fix, decision, and conversation you've had in ~29ms — without a single API call.
Does it use a lot of tokens? No — the tools you'll use most are capped by design. A full
recallacross 100+ sessions returns ~4K tokens. Reading one raw session JSONL costs 10–50× more. See Token budget for which tools cap output and which don't.
pip install longhand
longhand setup # ingest history + install hooks + configure MCP longhand recall "that stripe webhook bug from last week"
Want to kick the tires first? Run longhand demo for a 60-second walkthrough on a fake 3-session sample corpus — your real ~/.claude and ~/.longhand are not touched. The demo seeds a sandboxed store with a Stripe-webhook bug + Supabase auth migration + downstream 401 fix, then runs cross-session recall and project-status so you can see what the output looks like before committing.
pip install longhand
longhand demo # sandboxed; cleans up afterwards (pass --keep to explore)
Upgrading to 1.0.0? This is the release that closes the deprecation window 0.13 opened. Everything removed here has been warning since 0.13.0:
patterns → recall " ", recap → status --days N, continue → status --session , reanalyze → analyze --all.fix=true explicitly. Dry runs tell you so in the payload.CLAUDE.md files and must never hard-fail.Your database needs nothing. Migrations are automatic and a 0.11+ store opens on any later 1.x — that's Promise 2, and there's a real 0.11-schema fixture in the test suite proving it.
Upgrading to 1.3.0? Nothing removed, and nothing changes until you ask for it. One new, opt-in capability: longhand backup writes every session's verbatim transcript to a private git repository you own (secret-shaped strings masked in the copy only), and longhand restore rebuilds the archive on a new machine from it. It stays off until backup init has shown you exactly what would be uploaded and you have typed yes. See Backup below and docs/backup.md.
Upgrading to 1.2.x? No removals, just fixes worth knowing about:
get_session_timeline's tail now returns the true last N events on sessions over 5,000 events — it used to return the middle. setup's closing hint stopped suggesting recap (removed at 1.0) and now suggests status --days 7. Recall's footers and get_session_timeline's own tool description stopped naming search_in_context (retired from the tool listing at 1.0, though it still answers) and now point at search — the footers spell out the call, search(session_id=…, query=…, context_events=5).recall says so when its top match is much older than the alternatives instead of letting a stale fix read as current (see Recall Example). A Codex context-compaction record (compacted) no longer trips doctor's transcript-format-drift warning.get_session_timeline had a sentinel bug that made every call return exactly one event, ignoring limit/offset, unless tail was passed explicitly — fixed. search's project auto-scoping no longer overrides an explicit session_id.Upgrading to 0.13.0? Nothing breaks — that release opened the v1.0 deprecation window, so every old name kept working while pointing at its replacement:
status is now the single resume command: bare status = recent digest (was recap), status unchanged, status --session = session tail (was continue). The old commands still run and print a pointer; they're removed at v1.0.search_in_context → search + context_events, get_episode → find_episodes + episode_id, etc. — full table in the CHANGELOG). The retired names still answer, prefixed with a migration note.~/.longhand/logs/ and two new doctor rows (Hook errors, Transcript format) keep them visible.LONGHAND_DATA_DIR relocates the store for the CLI, hooks, and MCP server in one move — except longhand config --set, which always writes ~/.longhand/config.json regardless of the relocated store (#96; --edit is currently a no-op, same issue). status --json / doctor --json for scripting.Upgrading to 0.9.0? Live ingestion captures sessions in flight, plan history is preserved as first-class data, and an optional reconciler job keeps the index honest in the background:
longhand ingest-live command runs from Claude Code's Stop hook to tail the active transcript between assistant turns. The in-progress session becomes queryable immediately via list_sessions, get_session_timeline/timeline, get_file_history, and replay_file — it writes events only, no embeddings, so recall and semantic search still need the SessionEnd pass (or a reconcile --fix pass, which re-ingests with analysis) to see it.longhand plans list command and list_plans MCP tool surface every Write/Edit to ~/.claude/plans/*.md across your entire history. Plans are now extracted as their own entity alongside episodes.longhand schedule install-reconciler installs an optional launchd job that runs reconcile --fix periodically — catches anything the live and post-session hooks missed without you ever thinking about it.Upgrading to 0.8.1? Staleness signals now propagate everywhere they belong, and reconcile is an MCP tool — Claude can self-heal the index from inside a session:
search and list_sessions now wrap the response with stale: true + stale_reason when the project they're scoped to has on-disk transcripts not yet ingested. Pre-v0.8.1 these returned clean-looking empty results (same silent-failure shape recall_project_status was built to catch — just one layer up).reconcile MCP tool wraps longhand reconcile --fix. After a staleness banner fires, Claude calls reconcile directly instead of asking the user to run a CLI command.list_sessions default limit raised from 20 to 50 — active days routinely cross 5+ projects across 5+ sessions; the old default truncated reviews silently.Upgrading from 0.7.x or earlier? Cleaner recall narratives, plus a real bug-finding test layer underneath (from 0.8.0):
_compose_fix_summary prepended a literal "Intent:" label to half of all extracted episodes (49% of the reference corpus). The label leaked into every recall narrative for those episodes. Migration v4 strips it from existing rows on first store open — no command needed.fix_summary now truncates at whitespace boundaries with a visible …, instead of landing mid-token (phoneNum', family?:', strin'). Forward-only.tests/fixtures/corpus/) anchors regression tests to real shipped bugs. New recall validator (scripts/recall_diff.py) snapshots and diffs ranking results against your live corpus — catches regressions pytest can't see.pip install --upgrade longhand
longhand recall "..." # migration runs transparently on first open
If you're also coming from 0.5.x, run longhand reconcile --fix once to re-attribute multi-project sessions per the v0.6 inference improvements (cd-into-project sessions now attribute to the project where most work happened, not the first-event cwd). If you're on 0.5.8 or earlier, chain them: longhand reconcile --fix && longhand analyze --all. Both are idempotent.
Large history? (>1 GB of `~/.claude/projects`) Expect the first-time backfill to take 10–30 minutes on an M-class Mac — most of that wall time is the embedding model running on all your cores (which is why you'll see triple-digit CPU%; that's ONNX doing its job, not a hang). --skip-analysis defers the *other* pass — episode/segment extraction and project/session-level vectors — not event embedding, which always runs, so it trims some time but not the dominant cost:
longhand setup --skip-analysis # events stored + embedded; episodes/segments deferred
longhand analyze --all # fill in episodes + segments + project/session vectors whenever, safe to background
search, timelines, file history, and commit lookup all work immediately after --skip-analysis — every event is embedded regardless of this flag. recall's episode/segment narrative and recall_project_status need the analyze --all pass to have data to draw on. Typical throughput on an M-class Mac is ~1–2 sessions/sec for full analysis.
*Status: v1.3.1 — stable, daily-driver tested, security-audited (zero critical findings), on PyPI, available as a Claude Code plugin. Validated against 792 real sessions (786 Claude Code, 6 Codex) across 45 inferred projects (measured 2026-09-27). 834 unit tests passing.*
Full docs: Longhand Wiki — getting started, CLI reference, MCP tools reference, architecture, and troubleshooting.
Everyone is solving AI memory by making the context window bigger. 1M tokens. 2M tokens. Context-infinite. The whole industry is racing in the same direction: make the mod
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요