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ChainMemory

제작자: chaelynet버전 2.10.0i★ –i내 컴퓨터에서 실행
레지스트리 이름io.github.chaelynet/chainmemory

설치

개요

제작자가 쓴 설명(영어 원문)

Verifiable, portable AI memory. Optional vault: encrypted on your machine, 12 words only you hold.

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
  • 입력해야 할 값: CHAINMEMORY_API_KEY, CHAINMEMORY_SEED_PHRASE, AICHAIN_KEY

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: CHAINMEMORY_API_KEY, CHAINMEMORY_SEED_PHRASE, CHAINMEMORY_API_BASE, CHAINMEMORY_MODELS_DIR, CHAINMEMORY_ALLOW_FULL, AICHAIN_KEY, AICHAIN_RPC

비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.

필요한 것

  • npmNode.js 설치(npx 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": {
    "chainmemory": {
      "command": "npx",
      "args": [
        "-y",
        "chainmemory-mcp"
      ],
      "env": {
        "CHAINMEMORY_API_KEY": "your-value",
        "CHAINMEMORY_SEED_PHRASE": "your-value",
        "CHAINMEMORY_API_BASE": "your-value",
        "CHAINMEMORY_MODELS_DIR": "your-value",
        "CHAINMEMORY_ALLOW_FULL": "your-value",
        "AICHAIN_KEY": "your-value",
        "AICHAIN_RPC": "your-value"
      }
    }
  }
}

터미널에서 이 명령어를 실행하세요

claude mcp add chainmemory --env CHAINMEMORY_API_KEY=your-value --env CHAINMEMORY_SEED_PHRASE=your-value --env CHAINMEMORY_API_BASE=your-value --env CHAINMEMORY_MODELS_DIR=your-value --env CHAINMEMORY_ALLOW_FULL=your-value --env AICHAIN_KEY=your-value --env AICHAIN_RPC=your-value -- npx -y chainmemory-mcp

실행하기 전에 빈 값을 채워 주세요.

Cursor에서 열기

또는 설정을 직접 복사하기

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

{
  "mcpServers": {
    "chainmemory": {
      "command": "npx",
      "args": [
        "-y",
        "chainmemory-mcp"
      ],
      "env": {
        "CHAINMEMORY_API_KEY": "your-value",
        "CHAINMEMORY_SEED_PHRASE": "your-value",
        "CHAINMEMORY_API_BASE": "your-value",
        "CHAINMEMORY_MODELS_DIR": "your-value",
        "CHAINMEMORY_ALLOW_FULL": "your-value",
        "AICHAIN_KEY": "your-value",
        "AICHAIN_RPC": "your-value"
      }
    }
  }
}

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": {
    "chainmemory": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "chainmemory-mcp"
      ],
      "env": {
        "CHAINMEMORY_API_KEY": "your-value",
        "CHAINMEMORY_SEED_PHRASE": "your-value",
        "CHAINMEMORY_API_BASE": "your-value",
        "CHAINMEMORY_MODELS_DIR": "your-value",
        "CHAINMEMORY_ALLOW_FULL": "your-value",
        "AICHAIN_KEY": "your-value",
        "AICHAIN_RPC": "your-value"
      }
    }
  }
}

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

  • CHAINMEMORY_API_KEY 비밀 필수 env
    ChainMemory API key. REQUIRED for every tool except chainmemory_seal. Get one at https://faucet.chainmemory.ai
  • CHAINMEMORY_SEED_PHRASE 비밀 env
    12-word BIP-39 phrase for the blind vault. Optional: without it the server works exactly as before. With it, sealed:true encrypts a memory on your machine and computes its search vector here, so seal…
  • CHAINMEMORY_API_BASE env
    API base URL (default: https://api.chainmemory.ai)
  • CHAINMEMORY_MODELS_DIR env
    Folder for the 45 MB search model used with the blind vault (default: ~/.chainmemory/models). Downloaded once from models.chainmemory.ai and checked against its SHA-256 anchored on ChainMemory's chai…
  • CHAINMEMORY_ALLOW_FULL env
    Set to 1 to let get_project_brief return the FULL level (addresses, ports, server paths and security rules) when you ask for it. Leave it empty to keep every brief at the public level, which is safe…
  • AICHAIN_KEY 비밀 env
    NOT NEEDED for normal use — leave it empty. Only the chainmemory_seal tool reads it, to sign a contract call yourself instead of letting the API anchor the memory (which chainmemory_remember already…
  • AICHAIN_RPC env
    RPC endpoint used only by chainmemory_seal (default: https://rpc.chainmemory.ai). Leave it empty unless you set AICHAIN_KEY.

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 chaelynet 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 7229개 중 0%보다 스타가 많아요
  • 이 카테고리의 다른 서버 7229개 중 58%보다 최근에 레지스트리에 공개됐어요
  • 기본 점검 결과가 이 카테고리의 다른 서버 7229개 중 100%와 같거나 더 좋아요

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

자주 묻는 질문

ChainMemory, 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?

입력해야 할 값: CHAINMEMORY_API_KEY, CHAINMEMORY_SEED_PHRASE, AICHAIN_KEY

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(2.10.0)은 27일 전 레지스트리에 올라왔어요.

어떤 앱에서 쓸 수 있나요?

Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 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★ 64,224MIT3일 전 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★ 5,213MIT44일 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.

ChainMemory MCP Server

Cross-model, cryptographically verifiable memory for Claude, ChatGPT, and any AI agent — own your AI's memory and carry it across every model.

ChainMemory MCP exposes the ChainMemory protocol to any AI agent that speaks the Model Context Protocol. Memories are encrypted (AES-256-GCM), anchored on-chain one by one so anyone can verify them, and portable across ChatGPT, Claude, Gemini, Perplexity, and any other LLM. No vendor lock-in, ever.

What's new in v2.10.0

  • Full level for `get_project_brief`, only when you allow it. The brief is public by default: safe to paste into any chat, with addresses, ports, server paths and security rules replaced by [withheld]. Pass level: "full" to get them too, for work on your own infrastructure. It works only if you add CHAINMEMORY_ALLOW_FULL=1 to this MCP server's env, only with the owner's key (member and project keys are refused by the API), and ChainMemory logs every full-level request: when, which project and version, from which client and how many sensitive lines went out. The brief says so at the top and counts the sensitive lines at the end.
  • The remote endpoint never offers the full level. It serves third-party clients, so the parameter is not even published there.
  • How a project's AIC are safeguarded never appears in a brief, at any level.
  • Every request now tells the API which client made it (chainmemory-mcp stdio|remote), which is what the full-level log records.

To enable it, add the variable next to your API key:

"env": {

"CHAINMEMORY_API_KEY": "aic_your_key_here", "CHAINMEMORY_ALLOW_FULL": "1" }

What's new in v2.9.1

  • `get_project_brief` has a task mode. Pass task: "pri_0015" and the brief is about that one priority: the priority in full, its completion criterion on its own line, the risks it mitigates, everything else in the Brain that mentions it, and every work rule and constraint. A general brief orients; this one is meant to be enough to start the work. It does not move the version remembered for "what changed".
  • Briefs are safe to paste into any chat. The server now replaces IP addresses, ports, server paths and the owner's security rules with [withheld], and says how many were withheld in that text, so the agent knows to ask. Before, a large budget could carry a server path or an SSH port into a third-party chat.
  • The brief says more about what it shows: the full state_hash, each changed priority-risk link with its previous value, completion criteria never cut, titles in "to review", the owner's work rules, and how many items cite evidence, with the rest marked (no evidence).
  • Priorities can be linked to risks. update_project_state documents the new mitigates field of add_priority and the set_priority_risks op (the grammar is now 30 ops). The brief then shows which priority covers each risk and lists the high risks nobody mitigates. The documented value sets were also corrected: risks can be mitigated, and priorities are active, done or dropped.

What's new in v2.9.0

  • `get_project_brief`: the Project Brain in a few thousand characters, most important first. get_project_state returns the whole state as JSON, which on a mature project is long, and an agent opening a session reads it from the top. The brief is plain text built by the server (GET /v1/project/:name/inject) by relevance and within a character budget (default 7,000, from 1,000 to 50,000): what changed since the last version you read, open risks (high first), active priorities, recent decisions with their scope, recent milestones, open questions, each constraint as a one-line rule, and the items that have not been reviewed for more than 30 versions and may no longer be true. It starts with the state's on-chain anchor. Free and read-only.
  • "What changed" is measured from what you last read. This local server remembers, per project, the last version it gave you, in ~/.chainmemory/brief-since.json. The file is indexed by a hash of your API key and the project name: it contains neither. Pass since to compare against a specific version. On the remote endpoint nothing is stored, and the comparison is with the previous version.
  • Headings in English or Spanish (lang: "es"); the items are returned as they were written.
  • get_project_state is unchanged, and is still the tool to use before update_project_state.

What's new in v2.8.1

  • The search model downloads on slow connections. The first download (45 MB, only with the blind vault) was cut after 2 minutes in total, so on a slow but working connection the model never arrived and the first sealed memory was saved without its search vector. Now the download is cut only if it receives no data for 60 seconds, however long it takes overall.

What's new in v2.8.0

  • Sealed memories are searchable. With the blind vault configured (CHAINMEMORY_SEED_PHRASE), chainmemory_remember with sealed:true now sends the memory's search vector along with the encrypted blob, computed on your machine. The server can find a memory it cannot read, and search_memories decrypts sealed matches locally.
  • Your queries stay on your machine. With the vault configured, search_memories sends the query's vector, not its text, so the text of what you search is never sent to the server nor written to its search log.
  • No new dependencies. The vector comes from ChainMemory's own engine (tokenizer, model reader and WebAssembly kernel written by ChainMemory), shipped in the package: 80 kB in total. The first time it is needed, the 45 MB search model is downloaded from models.chainmemory.ai, checked against its SHA-256 anchored on ChainMemory's chain, and stored in ~/.chainmemory/models (or CHAINMEMORY_MODELS_DIR); it is checked again every time it is loaded.
  • Without the vault nothing changes and nothing is downloaded.

What's new in v2.7.1

  • Correct version in the MCP handshake. The server announced itself as 2.5.6 to every client, whatever package was installed. It now reads the version from package.json, so the two cannot drift again.
  • `quote_inject` reports missing memories correctly — fixed on the API side (2026-09-14), no client change needed. Before, it listed memories it had found as *not found* and told the agent to fix a list that was fine.
  • get_inject_history responses now include memory_numbers, the #N of each injected memory.

What's new in v2.7.0

Tool descriptions rewritten for agents, not for humans. An audit of all 36 found that only 39% said *when* to use them, 25% stated their limits, and two charged without saying so. One of them was plainly wrong.

  • chainmemory_profile promised memory count, trust score and registration block. None of those fields exist — the API returns chain_memories, local_memories, synced_memories, pending_sync, reputation, owner and active. The v2.5.6 release fixed the code that asked for the wrong fields; the description kept advertising them.
  • chainmemory_remember (0.001 AIC) and update_project_state (0.05 + 0.005 per op) now state their fee. They are the most used and the most expensive tool respectively.
  • update_project_state now documents the closed value sets. severity is low, med or high — *not* medium, *not* critical. A wrong value costs a rejected op and the fee is charged anyway.
  • get_my_context and chainmemory_recall both said "use at conversation start". Now each says when to use it *instead of* the other.
  • Twelve one-line descriptions gained their cost, their limits and the gotchas that cost a failed call: delete_project needs the numeric id and rejects the slug; add_project_from_template and list_project_templates deal in ids that cannot be guessed; chainmemory_seal is the only tool requiring a wallet private key.

No behaviour changed: same 36 tools, same endpoints, same fees. What changed is what the agent is told before it chooses.

What's new in v2.6.1

Documentation fix only, no code changes. The blind vault section described the verification step wrongly: GET /v1/memory/ /decrypted does not fail on a sealed memory — it returns 200 with scheme: "sealed" and the encrypted blob. The guarantee is the same (the operator never gets your text) but the observed behaviour was not what we documented. Found by running the first end-to-end test against the live API.

What's new in v2.6.0

Blind vault — memories the server cannot read. Pass sealed: true to chainmemory_remember and the text is encrypted on your own machine before it leaves: AES-256-GCM with a key derived from twelve BIP-39 words that never touch the network. ChainMemory stores an opaque blob and anchors its hash. Same fee as a normal write — privacy costs nothing extra.

  • chainmemory_new_seed creates the phrase locally. Shown once, stored nowhere.
  • chainmemory_open_sealed fetches the blob and decrypts it here, not there.
  • Without CHAINMEMORY_SEED_PHRASE, everything behaves exactly as in 2.5.6.

One honest limitation: a sealed memory is stored with no searchable text, so it will not appear in search_memories — the server has nothing to index. Its project and tags *are* stored, so list_memories_filtered still finds it by project; you then read the content with chainmemory_open_sealed. Losing full text search is the direct consequence of the server being unable to read it, and there is no way around that which keeps the guarantee. *(Solved in v2.8.0: the search vector is now computed on your machine, so sealed memories are searchable without the server reading them.)*

If you lose the twelve words, the memories sealed with them are gone — for you and for everyone. Write them on paper.

What's new in v2.5.6

Three defects that made tools report confidently wrong things. No new tools.

  • `list_project_templates` never listed anything. It read templates / template_id from a response that returns defaults / project_id, so it always answered "No templates available" — which meant nobody could learn the id that add_project_from_template needs. The whole template flow was unreachable.
  • `chainmemory_profile` got five of eight fields wrong. It read wallet, memory_count, trust_score, registration_block and sealed; the API returns owner, chain_memories / local_memories, reputation and active. Every profile came back with an empty wallet, zero memories, ? reputation and Sealed: no, regardless of the real state. It also had no handling for an API key with no registered identity, printing AI Profile #undefined.
  • `update_project_state` hid the reason when every op was rejected. Rejections were only rendered on the success path, but rejecting *all* ops leaves the state unchanged and takes the other branch — so the reply said Rejected: 3 and nothing else. The only way to find out why was to guess again and pay the fee again.

What's new in v2.5.5

  • `audit_memory` and `audit_state` — the two forensic audit endpoints, now reachable from any MCP client. Both accept `dry_run: true`, which returns the identical result without charging: an audit you can run as often as you like, and pay for only when you need the receipt on record. audit_state costs 5 AIC in its paid form, so the tools default to the dry run.
  • Both endpoints were fixed server-side first: t

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