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githippo

제작자: AnxovatomicaES버전 3.9.3i★ –i내 컴퓨터에서 실행
레지스트리 이름io.github.AnxovatomicaES/githippo

설치

개요

제작자가 쓴 설명(영어 원문)

Long-term memory for Claude: Markdown in a git repo you own. Survives context compaction.

PopNx MCP의 세 기둥

이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.

할 수 있는 일

이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.

  • 연결 방식: 내 컴퓨터에서 실행
  • 전송 방식: stdio
  • 카테고리: 문서, 시트 및 사무 업무

설치

쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.

설치하기 전에

  • 기본 점검: 1개 중 1개 통과
  • 내 컴퓨터에서 내 사용자 계정의 권한(파일, 네트워크, 앱)으로 실행돼요.
  • 직접 입력할 값: VAULT_DIR, EMBEDDINGS

어떤 앱을 쓰세요?

위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.

제작자의 .mcpb 파일 다운로드

링크는 제작자의 파일로 바로 연결돼요. 우리가 보관하거나 다시 패키징하지 않아요. 파일을 열면 Claude Desktop이 설치해요.

터미널에서 이 명령어를 실행하세요

실행하기 전에 빈 값을 채워 주세요.

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

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.

직접 입력할 값

  • VAULT_DIR env
    Memory vault folder (a git repo). Default: ~/.githippo/vault
  • EMBEDDINGS env
    local (default), voyage or none

이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.

할 수 있는 일

내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.

기본 점검i

누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검

  • ✓ 통과

    제작자와 저장소 일치

    레지스트리 이름이 GitHub 계정 AnxovatomicaES 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요

  • … 아직 점검 안 함

    계속 관리되고 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • … 아직 점검 안 함

    라이선스 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • – 해당 없음

    엔드포인트 응답

    내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요

  • – 해당 없음

    OAuth로 로그인

    내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요

  • … 아직 점검 안 함

    도구 설명에 숨겨진 지시 없음

    내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요

문서, 시트 및 사무 업무 카테고리의 다른 서버와 비교i

  • 이 카테고리의 다른 서버 3536개 중 0%보다 스타가 많아요
  • 이 카테고리의 다른 서버 3536개 중 63%보다 최근에 레지스트리에 공개됐어요
  • 기본 점검 결과가 이 카테고리의 다른 서버 3536개 중 100%와 같거나 더 좋아요

레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.

자주 묻는 질문

githippo, 안전한가요?

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.

어떤 키나 코드가 필요한가요?

레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.

내 컴퓨터에서 실행되나요, 클라우드에서 실행되나요?

내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).

아직 관리되고 있나요?

GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(3.9.3)은 19일 전 레지스트리에 올라왔어요.

어떤 앱에서 쓸 수 있나요?

Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 MCPB도 있어야 해요.

대신 쓸 수 있는 건 뭐가 있나요?

같은 카테고리에는: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

대안

같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.

카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i

Agent-Native Calendar

제작자: BuilderIO

Agent-Native Google Calendar - manage events, sync, and public booking

클라우드에서 실행★ 7,620MIT2개월 전 업데이트
설치

Excel MCP Server

제작자: haris-musa

Create and edit Excel files with AI: charts, PivotTables, formulas. No Excel needed.

내 컴퓨터에서 실행★ 4,276MIT7일 전 업데이트
설치

MCP Server for Excel

제작자: sbroenne

Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.

내 컴퓨터에서 실행★ 847MIT4일 전 업데이트
설치

제작자의 README

README 열기

제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.

Claude forgets everything when the context compacts. githippo doesn't.

Long-term memory for Claude and any MCP client, stored as plain Markdown in a git repo you own. Hybrid semantic search, a knowledge graph, auto-memory and compaction survival, at about 790 tokens of tool overhead per turn. Every memory is a git commit you can read, diff and revert.

curl -fsSL https://raw.githubusercontent.com/AnxovatomicaES/githippo/main/install.sh | sh

That's the whole install: no account, no token, no questions. It sets up a local memory vault, wires Claude Code (hooks, MCP, status line) and fetches semantic search in the background. Restart Claude Code and just talk; it remembers.

Want it backed up and synced across machines? githippo sync --github creates a private repo with your existing GitHub CLI login and pushes after every change. Just curious? npx -y github:AnxovatomicaES/githippo#v3.9.3 demo shows it working in 30 seconds without installing anything.

one click → use it from claude.ai and your phone


Why another memory server?

Because each good idea out there lives in a different tool. githippo takes the best of each and fixes the part that hurts:

IdeaBorrowed fromgithippo's twist
Entities + relations + observationsMCP reference memory serverEntities are Markdown files, relations are [[wikilinks]], and search is semantic, not substring: "the language I prefer" finds "TypeScript"
Markdown you can edit, Obsidian graphBasic MemorySame human-readable files, but synced through git: every device, full history, zero cloud fees
Typed relations (works_on [[x]])Basic Memory, DataviewParsed into a queryable graph; recall follows links one hop automatically
Temporal facts ("what was true last quarter?")Graphiti / ZepSuperseded facts move to a dated History section instead of vanishing, *and* history at= gives exact time travel from git, with no graph DB and no LLM calls
Pinned "core memory" blocksLetta (MemGPT)Core memory rides inside the MCP server instructions, which live in the system prompt, so it survives compaction in *every* client, including claude.ai
Lifecycle hooks around compactionclaude-memThe PreCompact hook builds the checkpoint deterministically from the transcript (goal, todo state, files changed, where it stopped). No LLM, no cost, can't hallucinate
Progressive disclosureclaude-memrecall mode=brief returns one-line refs (~45 tokens) before you pay for full context
Consolidation / dedupemcp-memory-service, Mem0Embedding-based duplicate detection on every write, plus maintain health reports; optional LLM merge that refuses lossy rewrites (dropped links or frontmatter)
Remote MCP for claude.aiSupermemory, Mem0Self-hosted Streamable HTTP; your data never leaves your repo and your server

Version 3.1 adds the best idea from each of nine other memory tools, read in their source and credited in docs/prior-art.md: tags, compaction steering and summary capture, session diffing, activity-aware decay, a code-aware tokenizer, errors in checkpoints, an honest status line, plugin packaging and alwaysLoad registration.

What else it does:

  • Compliance guard. Blocks private keys (including PGP) and API tokens (Anthropic, OpenAI, GitHub, AWS, Slack, Stripe, Google, SendGrid, npm, Hugging Face, JWTs), password and secret assignments (password: …, DB_PASSWORD=…, AWS_SECRET_ACCESS_KEY=…), connection strings with embedded passwords, card security codes, IBANs (mod-97 checked, spaces or hyphens), card numbers (Luhn checked, even with other digits beside them), Spanish DNI/NIE, French NIR (checksums), UK National Insurance numbers (written in capitals) and US SSNs *before* they become permanent git history. It reads through lookalike letters, other scripts' digits and zero-width characters, and plain prose such as "password: required", "tokens: 128000" or a Spanish date like "12/10/26" is left alone. It also catches opaque Authorization: Bearer/Basic headers, GitLab, Google OAuth, Slack and Discord webhook and bot tokens, Telegram, Twilio, Mailgun, Azure, Shopify, PyPI and DigitalOcean tokens, STRIPE_KEY=-style environment lines, PINs, and the quoted-JSON, markdown-bold and "the password is …" forms of a password. A secret that is base64-encoded, split across words or URL-encoded still gets through: it is a backstop, not DLP.
  • Compaction-proof by design, three ways (see below).
  • Cross-lingual recall. The default multilingual embedder runs locally; ask in Spanish, find notes written in English.
  • Updates are never mistaken for duplicates. "Launch is end of Q1" and "end of Q2" embed almost identically. githippo also compares numbers, dates and names, so the update is saved, the old line is flagged, and maintain reports possible contradictions. Measured in docs/calibration.md. When each fact has a content word the other lacks ("dark" / "light", "weekly" / "monthly", "read" / "write"), they are never called duplicates either, because neither keyword overlap nor embeddings can tell a synonym from an opposite: the new fact is saved and flagged as a possible update, and maintain lists the pair as a possible contradiction. (Before this rule, half of a set of twelve such pairs were silently dropped in keyword mode.)
  • Optimistic concurrency. Two sessions editing the same memory can't clobber each other; the loser gets the current file back and merges.

Survives compaction, three layers deep

When Claude Code compacts a long session, the conversation gets summarised and details die. githippo makes sure what matters doesn't.

flowchart LR

A[Context fills up] --> B[PreCompact hook] B -->|parse transcript, no LLM| C[checkpoint: goal, todos, files, where it stopped] C --> D[(local ~/.githippo)] C --> E[(repo sessions/)] F[Compaction] --> G[SessionStart hook, source=compact] D --> G G -->|injects the state itself, not a reminder to read it| H[Claude continues exactly where it stopped] I[MCP instructions + core memory] -.->|system prompt, never compacted| H

  1. Core memory in the system prompt. MCP server instructions aren't part of the conversation, so compaction can't touch them. Your pinned facts are always there, in any MCP client.
  2. Hook-driven checkpoint (Claude Code). A common complaint is that a post-compaction hook which only *reminds* Claude to re-read a state file is hit or miss. githippo injects the content directly. The checkpoint is capped at about 900 tokens; when a session is too big for that it drops the lowest-value detail first (the earlier summary, commands, older requests, finished tasks) and never the goal, the open tasks or where it stopped.
  3. `checkpoint` tool (any client, including claude.ai). Claude saves task, state and next step at milestones. After context loss, checkpoint with no args restores it.

Bonus: a fresh session in the same project and branch within 24h gets a brief "last time you were…" note, including what changed in git since (commits, commits by others, branch switches, deleted files). The UserPromptSubmit hook proactively surfaces up to three relevant memories when the match is confident. It's capped at 300 tokens, skips trivial prompts and never repeats within a session. Words in your prompt that the vault has never seen count against a match, so an ordinary coding prompt that shares two generic words with a note ("refactor", "use") is not given memory: on 1,000 to 10,000 notes none of 20 unrelated coding prompts triggered an injection, while all 40 planted questions did, with the right note (test/report6-hook.test.js). Before compaction, githippo also tells the compactor what must survive, and after compaction it keeps the compactor's summary with the checkpoint.

How we know the hooks do what we say: the contracts were read from Claude Code's own code (2.1.258). PreCompact passes each successful hook's stdout to the compactor as custom instructions (Claude Code also shows that text in the transcript as "PreCompact … completed successfully"); PostCompact receives compact_summary; every hook receives session_id, transcript_path and cwd; SessionStart sources are startup, resume, clear, compact and fork.

Recall also learns what you actually use: memory that keeps being handed to Claude gets a small boost (at most +40% on its keyword score, +10% on its semantic score) that halves every 30 days without use. It is applied to those raw scores, so it only reorders results that were nearly tied: it can't push a clear match out of first place (an earlier version applied it after rank fusion and did, see test/report6-ranking.test.js). The counts stay on your machine, are kept per user, and with no usage data ranking is exactly the same as without it.

Wrap anything in … and it never reaches memory. An opening tag that is never closed makes everything after it private, and remember refuses the fact and tells you why, rather than silently keeping the part you meant to hide. Turn hooks off without editing files: GITHIPPO_HOOK_PROFILE=minimal or GITHIPPO_DISABLED_HOOKS=prompt,steer.

Quality, measured (and what isn't)

Retrieval, on a small labelled set (52 queries) and on LongMemEval-S (500 questions, retrieval only, no LLM):

keyword + graph+ local model
In-repo set: hit@564%100%
In-repo set: MRR0.600.89
LongMemEval-S: R@596.2% (all 500)98.0% (100-question sample)

Reproduce the first with githippo eval. Method, per-language breakdown, filing and duplicate accuracy, memory use and scale numbers are in docs/benchmarks.md. The set is small, hand-written by the author and in-domain: a regression guard and a rough guide, not a leaderboard.

Not measured yet, and it is the number that matters most: whether answers get better, or sessions cheaper, with githippo than without it. eval/qa.js and eval/behavior.js are built to measure exactly that and need an ANTHROPIC_API_KEY; they have not been run. Until they are, read "saves tokens" as: it adds a bounded cost to every turn (below) and pays that back only when a recalled fact replaces re-explaining or re-discovering something. If you run them, post the results in issue #3.

Should you use githippo?

  • Claude's built-in memory is the zero-setup choice. Use githippo if you want the memory as files you can read, diff, edit

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