GitHub
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
제작자가 쓴 설명(영어 원문)
Git-history memory for coding agents: reverts, weakened tests, hot spots, and unreviewed notes.
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": {
"logbook": {
"command": "npx",
"args": [
"-y",
"@promptwheel/logbook-mcp"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add logbook -- npx -y @promptwheel/logbook-mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"logbook": {
"command": "npx",
"args": [
"-y",
"@promptwheel/logbook-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": {
"logbook": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@promptwheel/logbook-mcp"
]
}
}
}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 promptwheel-ai 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(0.8.0)은 그저께 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: GitHub, Desktop Commander, Cloudflare MCP
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Git history is large. When coding agents do not inspect it, they can re-propose approaches a repository already rejected.
Logbook turns a repository's Git history into memory an agent can use: a deterministic recall layer (hotspots, reverted approaches, suppressions, assertion weakening, and bounded history queries) plus durable notes an agent writes down after it investigates why a change happened.
Everything runs locally. The CLI has zero npm dependencies, reads raw Git objects for evidence checks, and never sends repository data anywhere. Node.js 18 or newer is required.
npx -y @promptwheel/logbook@latest init
init analyzes the repo, writes the history artifacts, and installs a compact workflow in AGENTS.md, CLAUDE.md, or .cursorrules so the agent reads history before it plans: read LOGBOOK.md, page each task path with context --file, verify leads with git show, refresh, audit, and annotate what it verified. The same workflow ships as an agent skill in plugin/skills/logbook/SKILL.md.
Its output, shortened:
1,326 commits · 322 files · 7.3 years · 354 authors
✓ wrote LOGBOOK.md hotspots · do-not-retry · suppression ledger ✓ wrote events.jsonl 1,326 structured events
The examples below use logbook as the binary name. Run them through the exact package above, or install @promptwheel/logbook@latest locally or globally.
logbook # refresh the history artifacts
logbook context --file src/cache.ts --revert # bounded history for a path logbook audit # what is still suppressed, and since when logbook query --json --file src/cache.ts # the same events as JSONL logbook doctor # read-only artifact and wiring health
context returns history in pages of at most 20 events and 8 KiB; repeat the identical filters with each NEXT cursor until END complete.
When an agent investigates why a prior change happened during real work, it can preserve the result immediately, with no prompt or human gate:
logbook annotate <commit> "why this approach was rejected" --by codex
The note is durably appended to annotations.jsonl and appears in LOGBOOK.md before the command exits. It is always labeled machine-authored and unreviewed and is bounded in the startup digest. An optional exact quote can be attached with --span, --side, and (for diff evidence) --evidence-file; a quote that does not ground in raw Git objects is rejected rather than guessed.
| Path | Purpose |
|---|---|
LOGBOOK.md | Bounded history brief for agents: hotspots, do-not-retry reverts, suppressions, weakened assertions, and fragile areas |
events.jsonl | Structured deterministic history events for tools and queries |
annotations.jsonl | Durable machine-authored notes, shown in the digest as explicitly unreviewed leads |
Commit annotations.jsonl to share the notes with the team, or add it to .gitignore to keep them local to one checkout.
context preserves filtered query order but emits pages of at most 20 events and 8 KiB. A cursor is bound to the repository HEAD, filters, analysis window, and ordered event set, so a stale or edited cursor is rejected instead of silently drifting.
The history scan is cached in bounded windows. On a history of tens of thousands of commits a cold run takes tens of seconds, a warm run that reuses the ledger on disk is well under a second, and a repeat call with an unchanged HEAD in an MCP session is milliseconds. LOGBOOK_NO_CACHE=1 forces a rebuild; LOGBOOK_WINDOW=N tunes the window.
In a random 400-repo sample of the top 2,500 GitHub repositories, the median LOGBOOK.md was about 1,000 estimated tokens while the median full git log was 82× larger. See context economics and the bounded context format.
Three surfaces over the same deterministic history layer:
logbook query --json (filtered, 200 rows unless you pass --limit) and logbook --json (the full ledger) emit JSONL you can shell from any language. logbook audit --json returns the live suppressions as one array. The JSON is cache-invariant (byte-identical with and without LOGBOOK_NO_CACHE=1), so it is safe to parse in CI.@promptwheel/logbook-mcp (bin logbook-mcp) serves the history to an agent over the Model Context Protocol: a Claude Code or other MCP client reads hotspots, do-not-retry reverts, and suppression signals without shelling anything.queryEvents, analyze, auditHead, and hotspots are exported for advanced in-process use; the scan and cache entry points take explicit options, so the CLI and MCP are the first-class surfaces for most integrations.The paired check engine, promptwheel, has the matching surface. Both are described in its INTEGRATE.md.
An internal six-task planning experiment on history-dense repos found that agents without history re-proposed already-tried or already-finished work in 4 of 6 repos and 0 of 6 with LOGBOOK.md in context, at about 4.7k extra plan tokens. A later sealed held-out screen on ten new tasks found no advantage over a strong raw-Git instruction, and traced the gap to retrieval rather than the index. The calibrated claim is: valuable on sufficiently difficult, history-dense tasks; not universally better. Details and limits are in wrong-work-benchmark.md and does-it-change-agent-behavior.md.
logbook init [path]
logbook [path] [--json] logbook audit [path] [--json [--file P ...] [--ref REF]] logbook doctor [path] logbook query [path] [filters] [--json] logbook context [path] [filters] [--cursor TOKEN] logbook annotate SHA "WHY" [optional evidence] [--by WHO]
logbook --help lists every filter and option.
0.11.0 removes logbook refine, logbook journey, and --out. Both commands now fail with not a git repository, and --out is an unknown option. Artifacts always go to the repository root. The analyze result no longer carries first, last, threshold, mentor, abyss, winter, or trials, and renderJourneyAnsi, journeyBeats, almanacStats, GATE_PAT, and MENTOR_PAT are no longer exported. The event and --json shapes, the five MCP tools, and doctor did not change. MCP server 0.8.0 requires this core.
0.10.0 removed the experimental reviewed-decision layer and the OKF export: annotate-draft, pending, accept/accept-draft, accept-lead, reject-lead, check, publish, outcomes, and export. Files that layer left behind (.logbook/, decision-cards.jsonl, annotation-reviews.jsonl) are ignored and can be deleted by hand.
From any release, a normal refresh rewrites a ## Repo memory block that an earlier release generated, so doctor passes after an upgrade. User-edited blocks are never touched. Existing annotations.jsonl rows stay unreviewed digest notes. A JOURNEY.md left by a release before 0.9.7 is ignored and can be deleted. If 0.8 wrote annotations to a custom directory, move that annotations.jsonl to the repository root. Earlier notes are in the git history of this file.
Logbook tells you what history says. promptwheel is the check that verifies whether today's claimed improvement came from the code rather than moving the goalposts.
Apache 2.0.