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CogSession

제작자: premanand8800버전 0.1.0i★ –i내 컴퓨터에서 실행
레지스트리 이름io.github.premanand8800/cogsession

설치

개요

제작자가 쓴 설명(영어 원문)

Session memory for AI coding agents: records decisions and dead ends, flags what went stale.

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: 검색 및 AI 기억

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.
  • 레지스트리에 입력해야 할 키가 나와 있지 않아요.

필요한 것

  • PyPIPython의 uv 설치(uvx 명령어용)

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": {
    "cogsession": {
      "command": "uvx",
      "args": [
        "cogsession"
      ]
    }
  }
}

터미널에서 이 명령어를 실행하세요

claude mcp add cogsession -- uvx cogsession

Cursor에서 열기

또는 설정을 직접 복사하기

프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요

{
  "mcpServers": {
    "cogsession": {
      "command": "uvx",
      "args": [
        "cogsession"
      ]
    }
  }
}

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

VS Code에서 열기

또는 설정을 직접 복사하기

프로젝트의 .vscode/mcp.json에 붙여 넣으세요

{
  "servers": {
    "cogsession": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "cogsession"
      ]
    }
  }
}

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.

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 6일 점검

  • ✓ 통과

    제작자와 저장소 일치

    레지스트리 이름이 GitHub 계정 premanand8800 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

검색 및 AI 기억 카테고리의 다른 서버와 비교i

  • 이 카테고리의 다른 서버 7243개 중 0%보다 스타가 많아요
  • 이 카테고리의 다른 서버 7243개 중 35%보다 최근에 레지스트리에 공개됐어요
  • 기본 점검 결과가 이 카테고리의 다른 서버 7243개 중 100%와 같거나 더 좋아요

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

자주 묻는 질문

CogSession, 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(0.1.0)은 2개월 전 레지스트리에 올라왔어요.

어떤 앱에서 쓸 수 있나요?

Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv)도 있어야 해요.

대신 쓸 수 있는 건 뭐가 있나요?

같은 카테고리에는: Context7, Codebase Memory, Exa

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

Context7

제작자: upstash

Up-to-date docs for AI agents

컴퓨터 또는 클라우드★ 64,224MIT오늘 업데이트
설치

Codebase Memory

제작자: DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

내 컴퓨터에서 실행★ 48,148MIT20일 전 업데이트
설치

Exa

제작자: exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

클라우드에서 실행★ 5,213MIT지난달 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.

🌳 CogSession

Session memory for AI coding agents. Your agent forgets everything when the context window fills. CogSession remembers the parts worth keeping, and tells you when they stop being true.


The problem

Session 1 (context fills) → Session 2 starts fresh → Session 3 starts fresh

Everything lost. Repeats the mistakes. Starts blind again.

You explain the codebase again. The agent tries the approach that already failed. The constraint you agreed on in session 1 is gone by session 3.

The usual answer is "write better notes", which fails for the same reason all documentation fails: it is true when written and nobody notices when it stops being true.

What CogSession does

Three things, and the third is the one that does not exist elsewhere.

1. It records without being asked. A session opens on its own. Decisions, dead ends, assumptions and errors are written as they happen, each stamped with the local time and the repo state it happened at (main@a1b2c3d+2, where +2 is dirty files).

2. It makes that searchable without loading it. Every session keeps a session.md: append-only, one block per event, every entry line self-describing. So one grep answers a question without pulling a file into context.

grep -A4 "dead_end"      .cogsessions/*/session.md   # what already failed

grep "2026-08-27 01:" .cogsessions/*/session.md # what happened that hour grep "main@a1b2c3d" .cogsessions/*/session.md # what happened at that commit

3. It tells you when what you wrote stops being true. Record a claim with the command that *proves* it. When the files it watches change, the proof is re-run:

[CogSession] 1 claim(s) no longer hold:

✗ the composite key includes the tenant column expected '1', got '0' asserted in: PR description, line 26 proof: grep -c 'UNIQUE (a, b, c)' migrations/007_schema.sql

No model judgement involved. It stores the command that proved something and re-runs it. Silence means everything still holds.

Why the third one matters

Every expensive failure in three weeks of daily use reduced to one sentence: *something was true when it was written and stopped being true.* A pull request description explaining a schema the code no longer had. A comment naming a constraint that moved. A test asserting a shape the implementation had dropped. A docstring contradicting its own function.

An agent cannot notice that from a transcript. A human notices it in review, which is the expensive place. A stored proof notices it for free.


Is this the thing you are looking for?

You are probably here because of one of these:

  • Claude Code hit its context limit and the next session knows nothing about the last one
  • Your agent retried an approach that already failed, because nothing recorded that it failed
  • A constraint you agreed on in one session was gone three sessions later
  • You keep re-explaining the same codebase at the start of every session
  • A comment, a doc or a PR description described the code as it used to be, and review caught it rather than you

The first four are what any agent-memory tool is for. The fifth is the one CogSession was actually built to solve, and it is the reason for the claims feature above.

How this differs from just writing notes

Notes go stale silently. That is the entire problem, and no amount of discipline fixes it, because the failure is not that you forgot to write something down — it is that what you wrote stopped being true and nothing told you.

A claim is a note with a proof attached. When the proof stops passing, you hear about it.

How this differs from your agent's built-in memory

Built-in memory decides what to keep. This records what happened, in a plain file you own, in your repo's directory, greppable with tools you already have. It works the same whether the agent is Claude Code today or something else next year, because the output is markdown and JSONL rather than a vendor's store.


What a session looks like on disk

.cogsessions/

├── sess_001_discover/ │ ├── session.md ← greppable timeline, every entry timestamped + git-stamped │ ├── handoff.md ← the brief the next session reads first │ ├── claims.json ← assertions with the commands that prove them │ ├── dead_ends.md ← what failed and why, so it is not retried │ ├── assumptions.md ← what was assumed but never verified │ ├── tasks.json ← done / remaining / blocked │ ├── decisions.json ← flagged when made under high context pressure │ ├── environment.json ← the commands that restore a working state │ ├── architecture.mermaid← auto-generated dependency diagram │ └── session_log.jsonl ← append-only machine log ├── sess_002_auth/ (parent: sess_001) └── sess_003_payments/ (parent: sess_001, sibling of sess_002)

Sessions form a tree, like branches, because work does. session_tree shows it; session_log is a git log --oneline across all of them.


Requirements

  • Python 3.11+
  • uv for the install script
  • An MCP-capable agent. Built against Claude Code; also usable from Codex (see below)
  • git is optional. Without it the journal records no-git and stays useful

Install

pip install cogsession        # or: uv tool install cogsession

cogsession-admin install

Two commands on purpose. The first installs the MCP server; the second wires the hooks, which is what makes CogSession record without being asked. A package cannot write to ~/.claude/settings.json on its own, so without the second command you get eleven tools you must call by hand and none of the recording.

cogsession-admin install backs up your settings first, adds the six hooks alongside anything already there, and will not overwrite a status line you already set.

Installing from a clone instead (for working on CogSession itself)

git clone https://github.com/premanand8800/cogsession.git

cd cogsession uv sync uv run cogsession-admin install --repo .

--repo points the hooks at your checkout through uv, so edits take effect without reinstalling.

The installer syncs dependencies with uv, registers the MCP server with Claude Code, and writes the hooks that let it observe a session without being asked. It touches ~/.claude/settings.json and nothing inside your projects.

It will not write to a file git tracks. The handoff goes to CLAUDE.local.md, which is auto-loaded the same way CLAUDE.md is but never committed. If that filename happens to be tracked in your repo, CogSession refuses to write rather than dirtying your tree, and tells you where the handoff is on disk instead. Add .cogsessions/ to your .gitignore.

The tools

Eleven MCP tools, in four groups:

GroupTools
Lifecyclesession_init · session_checkpoint · session_load · session_status
Recordingsession_update
Searchingsession_search · session_log · session_tree · session_diagram
Claimsclaim_record · claim_check

Plus six hooks (SessionStart, UserPromptSubmit, PreToolUse, PostToolUse, PreCompact, SessionEnd) that do the recording you never have to ask for.

What it does *not* do

Worth saying plainly, because it is the first thing people assume:

CogSession does not store your conversations. It reads the transcript only to measure how full the context window is. What it keeps is conclusions — decisions, dead ends, assumptions, claims — plus the mechanical events from the hooks. That is deliberate: a memory made of every word said is a memory nobody re-reads. But it does mean the quality of a session's memory depends on things being recorded as they are decided.


Usage

Start of every session: nothing. The SessionStart hook opens a session and loads the previous handoff on its own. Tracking that depends on someone remembering to turn it on is tracking that silently does not happen.

Name the session when you know what it is about — the focus line is the only part a tool cannot infer:

session_update(type="focus", content="auth module")

session_init still exists for a session you want to start deliberately, or to attach to a parent:

session_init(project_root="/your/project", focus="auth module")

session_load(project_root="/your/project") # load a previous handoff by hand

Throughout the session:

session_update(type="decision", content="Use python-jose for JWT", reasoning="Handles RS256 edge cases")

session_update(type="dead_end", content="Using httpx for auth", why_failed="Breaks streaming in /login", use_instead="Use requests library") session_update(type="assumption", content="users table has hashed_password column", risk_level="HIGH", how_to_verify="Run \\d users in psql") session_update(type="task_complete", content="Build /register endpoint") session_update(type="task_add", content="Build /refresh endpoint") session_update(type="danger_zone", content="Don't touch middleware.py — custom CORS order line 45") session_status(context_pct=67)

At 70-80% context:

session_checkpoint(context_pct=78, one_liner="Built JWT auth. Refresh token next.")

Look something up without loading anything. Every session keeps a session.md: append-only, one block per event, each header carrying its own local timestamp, event type, and the repo state it happened at (branch@commit+dirty). So one grep answers a question:

grep -n -A4 "dead_end"  .cogsessions/<session>/session.md   # what already failed

grep -n "2026-08-27 01:" .cogsessions/ /session.md # what happened that hour grep -n "main@a1b2c3d" .cogsessions/ /session.md # what happened at that commit

Every entry line is self-describing, which is what makes a bare grep useful: a match tells you when, what kind, and against which state of the code, with no need to scroll for context. Tool calls are deliberately left out — hundreds per session would bury the decisions someone is actually searching for; they stay in session_log.jsonl.

Scan history like `git log`:

session_log()                        # newest first, all sessions

session_log(type_filter="dead_end") # what has already failed here

when what repo session 2026-08-27 01:43:57 +0545 error master@3d4d1fd+2 sess_20260827_... 2026-08-27 01:43:57 +0545 dead_end master@3d4d1fd+1 sess_20260827_...

Scan, then grep the journal for the entry that matters. The commit id is the join back to real git log, so a decision can be lined up with the state of the code that produced it.

Claims — for anything you write down that could go stale:

claim_record(

claim="the composite key includes the tenant column", verified_by="grep -c 'UNIQUE (a, b, c)' migrations/007_schema.sql", expect="1", watches=["migrations/007_schema.sql"], asserted_in="PR description, line 26", ) claim_check() # re-runs the proofs whose files moved

A claim stores the *command that proved it*, not a note about how to check it. When the file changes, the next session is told which statements stopped being true, where they were asserted, and how they were checked.

앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요

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