프로토타입 · 미리 보기: 공식 레지스트리의 모든 서버를 담고 있으며 30분마다 동기화해요. 리뷰와 계정 기능은 다음 단계에서 열려요.
PopNx MCPAI를 쓰는 사람을 위한 MCP 서버 · 쉬운 말로 설명해요

supragnosis

제작자: Ashon버전 0.11.0i★ –i내 컴퓨터에서 실행
레지스트리 이름io.github.Ashon/supragnosis

설치

개요

제작자가 쓴 설명(영어 원문)

Memory for AI agents that remembers who said it.

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

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": {
    "supragnosis": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/ashon/supragnosis:0.11.0",
        "serve"
      ]
    }
  }
}

터미널에서 이 명령어를 실행하세요

claude mcp add supragnosis -- docker run -i --rm ghcr.io/ashon/supragnosis:0.11.0 serve

Cursor에서 열기

또는 설정을 직접 복사하기

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

{
  "mcpServers": {
    "supragnosis": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/ashon/supragnosis:0.11.0",
        "serve"
      ]
    }
  }
}

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": {
    "supragnosis": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/ashon/supragnosis:0.11.0",
        "serve"
      ]
    }
  }
}

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 8일 점검

  • ✓ 통과

    제작자와 저장소 일치

    레지스트리 이름이 GitHub 계정 Ashon 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 5676개 중 0%보다 스타가 많아요
  • 이 카테고리의 다른 서버 5676개 중 79%보다 최근에 레지스트리에 공개됐어요
  • 기본 점검 결과가 이 카테고리의 다른 서버 5676개 중 100%와 같거나 더 좋아요

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

자주 묻는 질문

supragnosis, 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(0.11.0)은 10일 전 레지스트리에 올라왔어요.

어떤 앱에서 쓸 수 있나요?

Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Docker도 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★ 64,224MIT어제 업데이트
설치

Codebase Memory

제작자: DeusData

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

내 컴퓨터에서 실행★ 48,148MIT21일 전 업데이트
설치

Exa

제작자: exa-labs

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

클라우드에서 실행★ 5,213MIT2개월 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.

supragnosis

Agent memory you can cross-examine.

Shared project memory for coding agents, with receipts. supragnosis is a local MCP server for Claude Code, Codex, Cursor and other MCP clients. Your agents record what they learn as they work, and every claim keeps who asserted it, on whose behalf, on what basis, and how far this node trusts it. Claims that contradict each other stay side by side for you to settle, instead of the later one overwriting the earlier.

It is built for a small team that wants one project's memory on each of its machines and shared with teammates, without a vendor cloud: one binary, an embedded store, and no account. A workspace leaves your machine only when you list it.

supragnosis = supra (above) + gnosis (knowing) - knowledge about knowledge.

The problem it solves

Most agent memory answers *what was remembered*. It does not answer *who said so*.

That is fine for a single assistant remembering one user's preferences. It stops being fine the moment two agents, two machines, or two people write into the same memory:

  • Two agents assert opposite facts. Last write wins, and the disagreement is gone.
  • An agent summarizes a poisoned document into memory. Nothing records where it came from, so nothing can trace what else that summary contaminated.
  • You want to share project knowledge with a teammate but not your private notes. There is no boundary to draw, because the store has no concept of whose knowledge this is.
  • A credential ends up in the log. There is no way to find it and no way to get it out.

supragnosis treats an assertion and a fact as different things. What is stored is never "X is true" but "host H, at time T, on the basis of S, asserted X". The current belief is computed from those assertions by a policy you can replace, so changing your mind about how to resolve conflicts means recomputing, not rewriting.

What that buys you

Provenance on every claimacting host, principal on whose behalf, workspace, source, observation time, confidence, and a trust tier the receiving node computes rather than accepts
Conflicts stay visiblecontradictory assertions coexist and surface for mediation instead of one silently overwriting the other
Nothing is destroyedthe observation log is append-only and content-addressed. A correction is a new observation; a merge can be un-merged
A gate before the canonentity merges, trust promotions, and schema changes go through a proposal with a computed diff of what the verdict would overturn
Sharing is opt-ina workspace leaves the node only if you list it. Peers are authorized per workspace, on the sync path and the query path alike
Secrets do not entercredential-shaped text is refused at ingest, not rewritten, because an append-only log that has replicated cannot take it back
Local-first, no cloudone binary, an embedded pure-Rust store, no account, no network unless you configure a peer

Quick start

brew tap ashon/tap

brew install supragnosis-server supragnosis service install # MCP on :7373 + local viewer, now and at every login supragnosis connect claude-code # or claude-desktop, cursor, vscode, codex, gemini, opencode

supragnosis connect with no app lists them and says how each one is connected. It registers supragnosis bridge with the app: a stdio server that relays to the daemon and reads the daemon's bearer token from ~/.supragnosis/mcp.token (mode 0600) itself, so no app's settings hold a copy. That also reaches Claude Desktop, which takes local servers over stdio only. A client that wants a URL instead can use http://127.0.0.1:7373/mcp with that token; supragnosis status prints the command, reading the token from its file rather than printing it.

With Claude Code, connect also registers a hook, so the memory fills without being asked: after a commit the agent made, it is asked for the decision behind the change that the diff does not show, and a session starts knowing what the project's workspace holds here. --no-capture leaves the hook out; the hook never writes anything itself (docs/client-connect.md Section 12).

With the desktop app (brew install --cask supragnosis), its Settings page (Settings... in the tray, or Cmd+,) does both without a terminal: Start at Login keeps the daemon running, and AI apps connects Claude Desktop, Claude Code and the others with a click. After brew upgrade, supragnosis restart loads the new binary - until then supragnosis status and the tray say the daemon is running the old one.

Not on Homebrew:

curl -fsSL https://supragnosis.dev/install.sh | sh    # ~/.local/bin, checksum-verified

supragnosis service install # macOS; Linux: deploy/systemd supragnosis connect claude-code

Retrieval is semantic as well as keyword: a local embedding model (multilingual, 224 MB, no API calls) that service install fetches once into ~/.supragnosis/models, or supragnosis embed fetch does by hand. Until it is there, retrieval is keyword only and supragnosis status says so. The daemon holds about 1 GB once a tool call has loaded the model; SUPRAGNOSIS_EMBED=none keeps it keyword only and small (docs/semantic-retrieval.md).

Removing it takes the daemon off login, disconnects each AI app and deletes the binary, and leaves the knowledge in ~/.supragnosis unless you remove that too (deploy/README.md, Operations).

Your first minute

Ask the agent to remember something, in whatever words you would use:

you: remember that auth in this repo is JWT with a 15-minute expiry, decided because the

mobile client cannot hold a session cookie

The agent calls observe. What lands is not the sentence - it is an observation carrying the entities it names, the relations between them, and who said it:

observed  "auth in this repo is JWT with a 15-minute expiry..."

entities JWT [AuthMechanism], mobile client [Component] relations repo --uses--> JWT, JWT --constrained_by--> mobile client provenance host=your-laptop on_behalf_of=you tier=agent_extracted

Later, in a different session, with none of that in the context window:

you: how does auth work here?

agent: JWT with a 15-minute expiry. That came from you directly rather than from reading the

code, and the stated reason was that the mobile client cannot hold a session cookie.

The second half of that answer is the point. A search hit is the id of what matched, and that id leads to the provenance: get_entity lists every attestation behind an entity, and the observation it came from (supragnosis://observation/{id}) has the original text and who said it, for whom and when. So the agent can tell you *who said it and how sure to be*, and you can read it yourself.

The viewer runs alongside the daemon on a unix socket - the desktop app opens it, or read it directly:

curl -s --unix-socket ~/.supragnosis/viz.sock http://localhost/api/graph

Watching it while an agent works is the part that is hard to convey in text:

What the agent gets

13 MCP tools, each one recurring intent:

  • observe - free text plus optional structured assertions. No schema required up front.
  • search_knowledge - keyword retrieval (every term, any order) plus semantic, labelled with the mode it used.
  • get_entity, traverse - exact lookup and bounded graph walks.
  • workspace_map - co-occurrence hyperedges: what tends to get said together.
  • define_type - promote a pattern into the workspace glossary.
  • propose, review, list_proposals, get_proposal - the gate to the canon.
  • sync_status, sync_pull, sync_push - federation.

Plus dereferenceable resources: supragnosis://workspaces, supragnosis://workspace/{ws}/graph, supragnosis://workspace/{ws}/hypergraph, supragnosis://workspace/{ws}/types, supragnosis://observation/{id}.

What you get

Four MCP prompts, which a client offers as commands (in Claude Code, /mcp__supragnosis__brief):

  • brief - what a workspace's knowledge says now: its themes, what is contested, what rests on a single agent claim, and what is waiting on your decision.
  • what-do-we-know-about - what the store holds on one topic, with sources, and what it does not.
  • curate - the model drafts proposals for the tidy-ups the curation signals point at.
  • review-proposal - a first-pass review of one proposal: what merging it would change, and a recommendation.

Your model writes the brief from current state and nothing is stored. A judgment worth keeping becomes a proposal, and you cast the verdict in the app's Review panel. The canon is what remains, and the next brief reads it. See docs/prompts.md.

How it works

Three ideas, and everything else follows from them.

Event sourcing. Immutable, content-addressed observations are the source of truth. The entity and relation graph is a projection you can throw away and rebuild by replaying the log. Changing the resolution policy is a re-projection, not a migration.

Topology-independent convergence. Nodes holding the same set of observations materialize the same graph, no matter which path events took or in what order they arrived. Content addressing dedups, hybrid logical clocks order, and the projection is a deterministic fold. Local-only, hub-and-spoke, direct peer, or a mix: the topology is an operational choice, not a semantic one.

Hexagonal ports. The domain crate has zero IO dependencies. Store, embedder, and transport sit behind ports held to one conformance suite. This is not an aspiration: a third store adapter was added and the original backend deleted, a different query paradigm and a different storage engine, without changing a line of core or engine.

Documentation

architecture.mdwhat is built, how, and Section 14: the honest record of what is not
principles.mdthe normative document. Every design decision is justified against it
federation.mdnode identity, the sync protocol, trust evaluation
proposal-workflow.mdthe gate to the canon
resolution.mdhow assertions become a current belief
excision.mdthe one act that removes knowledge, and why it is last
consolidation.mdhow a workspace stays tidy without anything being deleted
CONTRIBUTING.mdhow to build, test, and send a change

Status

Working today: hybrid retrieval, belief resolution with contested claims surfaced, identity resolution with an entity merge gate that can be reversed, hub-and-spoke log replication with ed25519-signed events over TLS, and a live viewer.

Not yet: bitemporal time-travel queries, multi-principal governance, retrieval demotion and idle consolidation, and automatic type induction.

That second l

앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요

PopNx에게 묻기