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PopNx MCPMCP servers for people who use AI · explained in plain words

Gnosis Memory

by Tekgnosisversion 1.0.2i★ 0iRuns in the cloud
Registry namecom.gnosismemory/memory

How to install

Overview

Description from the maker (original English)

Persistent memory and vector search for AI agents. Hosted, OAuth-protected via Google sign-in.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs in the cloud
  • Transport: Streamable HTTP
  • Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Passed 3/3 checks · What you ask goes through the maker’s server (gnosismemory.com)

First: which AI do you use?

Pick your app and the steps appear below.

Works with Claude · about 2 min

No key, nothing to install · Set it up once on claude.ai or the desktop app, then use it in chat · free accounts can add 1

  1. Open Claude’s Connectors page

    CustomizeConnectors

    CustomizeConnectors1+ Add2https://…3Add4
  2. Click “+ Add” → “Add custom connector” and fill in these 2 fields

    Copy each value into the field with the same name in Claude, then click Continue

    Name · NameGnosis Memory
    Remote MCP server URL · Addresshttps://gnosismemory.com

    Leave Authentication as Claude detected it, then click Add

  3. Turn it on in a chat

    +ConnectorsGnosis Memory

  4. Try it

    Use Gnosis Memory and tell me what you can do for me, then show me one thing

    ✓ If Claude says it is using Gnosis Memory or shows a Gnosis Memory tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with ChatGPT on business plans only

ChatGPT Business, Enterprise or Edu on the web, added by a workspace admin or owner · On Free, Plus or Pro: your ChatGPT plan cannot connect MCP yet

  1. Open ChatGPT’s add-MCP page on the web

    Plugins+Add custom MCP server

    ChatGPTPlugins1+2https://…3Create4
  2. Fill in the name and address

    Enter a name, paste the address under Connection, tick the risk warning and click Create as a plugin

    Name · NameGnosis Memory
    Connection · Addresshttps://gnosismemory.com
  3. Pick Gnosis Memory in a chat

    Start a new chat and pick Gnosis Memory from your plugins before typing

  4. Try it

    Use Gnosis Memory and tell me what you can do for me, then show me one thing

    ✓ If ChatGPT says it is using Gnosis Memory or shows a Gnosis Memory tool in the answer, you are connected

Menu names checked against OpenAI’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with Claude Code · about 2 min

No key, nothing to install

  1. Open Terminal

    Mac: press Command+Space and type Terminal · Windows: open PowerShell

  2. Paste this command and press Enter

    claude mcp add --transport http memory https://gnosismemory.com
  3. Type /mcp in Claude Code

    You should see Gnosis Memory listed as connected

  4. Try it

    Use Gnosis Memory and tell me what you can do for me, then show me one thing

    ✓ If Claude Code says it is using Gnosis Memory or shows a Gnosis Memory tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with Cursor · about 2 min

No key, nothing to install

  1. Click this button to open Cursor

    Open in Cursor

    Cursor asks you to confirm; click Install

  2. Open the AI chat in Cursor in Agent mode

  3. Try it

    Use Gnosis Memory and tell me what you can do for me, then show me one thing

    ✓ If Cursor says it is using Gnosis Memory or shows a Gnosis Memory tool in the answer, you are connected

Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with VS Code · about 2 min

No key, nothing to install

  1. Click this button to open VS Code

    Open in VS Code

    VS Code asks you to confirm; click Install

  2. Open the AI chat in VS Code in Agent mode

  3. Try it

    Use Gnosis Memory and tell me what you can do for me, then show me one thing

    ✓ If VS Code says it is using Gnosis Memory or shows a Gnosis Memory tool in the answer, you are connected

Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.

See every app that uses MCP →

Address for apps that connect over the web

Addresshttps://gnosismemory.com

JSON settings are under “For developers” below

Stuck? Ask people who use Gnosis Memory💬 Discussion →
For developers: Terminal commands and JSON settings

Over the web

Claude Code

claude mcp add --transport http memory https://gnosismemory.com

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "memory": {
      "url": "https://gnosismemory.com"
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "memory": {
      "type": "http",
      "url": "https://gnosismemory.com"
    }
  }
}

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

At a glance

Downloads per weeki
Not on npm/PyPI
Verified domain
✓ gnosismemory.com
Licencei
No licence stated
Connection
Runs in the cloud
Transport
streamable-http
Latest versioni
1.0.2
Published to registryi
Jun 10, 2026
Code last changedi
–
Maker
Tekgnosis
Repo
–
Registry status
Active

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Connect over the internet in

ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast

All apps, with pros and cons →

Related guides

What it can do

Tool names and descriptions exactly as the server reported them on Nov 10, 2026. The maker wrote them, not us; we show them as plain text.

  • init_core_memories

    Run ONCE at conversation start. Loads behavioral prefs + recent context. Previews carry a 'complete' flag: true = full content shown; false = opening only, memory_retrieve(id) for the rest. After init, use memory_search for specific queries. Shared collections -> 'collections' fi

  • memory_add

    Store a memory. Several memories in one call -> memories=[{content, topics, ...}]; top-level topics then apply to every item. BEFORE params decide: (1) TYPE? (2) what search finds this later? (3) happened, or aspirational? (4) WHO must act on it? TYPE by example: "User prefers da

  • memory_add_batch

    Store multiple memories at once. Same rules as memory_add, applied per item. SHAPE: one ITEM here == one memory_add call. Same field names, same meaning. The ONLY difference is the container: memory_add takes them as flat parameters, this takes a list of objects. An item object b

  • memory_search

    Search memories by relevance. Up to 32 results. Query = ALL nouns from the user's message, not just the main one (ranking is automatic). "How does the app cache API calls?" -> "app cache api calls" complete=false results are truncated -> memory_retrieve(id) for full content. Auto

  • memory_deep_search

    Broad search for a FULL sweep -- every hit on a topic (e.g. before memory_consolidate), not a conversational lookup (that is memory_search). Up to 128 results; requires 2+ keywords ("python" alone = too broad). Scores: 30+ excellent, 20+ good, <20 weak. Full sweep of a topic inte

  • memory_retrieve

    Get full content by ID. Use when search returned complete=false. Batch: memory_retrieve(["id1","id2"]). Skip if complete=true (preview is already full).

  • artifact_write

    Store or update a long document (markdown, JSON or text) behind a pointer memory. For agents.md, skills.md, assertions.md, a project plan: anything past one memory's 768-token cap. CREATE: name ("assertions.md"), summary (the pointer memory: what the document is and why; search f

  • artifact_read

    Read an artifact by its pointer memory id (memory_retrieve on a pointer shows an "artifact" block with head_rev_id and outline). Bodies over 40,000 characters return the outline: read a section (heading path or JSON pointer) or page=0,1,... Returns rev_id; pass it as base_rev_id

  • artifact_history

    List the revisions of an artifact (rev_id, parent, seq, time, author, pinned) and its heads. conflict=true means divergent heads to merge.

  • artifact_pin

    Pin a revision so retention thinning never removes it (pinned=false unpins).

  • artifact_delete

    Delete an artifact: every revision and its pointer memory. Permanent. confirm must equal the artifact name. memory_delete refuses a pointer; use this.

  • artifact_orphans

    List artifact revisions whose pointer memory is gone (a delete on one replica racing a save on another). Nothing is auto-deleted; export includes them.

  • memory_edit

    Edit a memory. Provide only what changes; omitted fields untouched. Modes: 1. Content replace (content [+topics/macro_topics]): full rewrite, re-embeds. Do it the instant the user corrects a memory ("actually..."). 2. Metadata patch (topics/type/expiry, no content): type/expiry a

  • memory_delete

    Delete memories by ID. Permanent. memory_delete(["id1","id2"]). Delete by filter: memory_search first, collect ids, then delete.

  • memory_consolidate

    Create/replace a topic's executive summary. One per topic; replacing archives the old (restorable). WARNING: a bad summary poisons every future session. Do NOT consolidate from partial knowledge. BEFORE calling: (1) memory_deep_search the topic; (2) read 20+ memories, not preview

  • task_feed

    Recently-changed tasks, chronological (not ranked). For "what needs attention?" / "what changed?". Find tasks by content -> memory_search. Each: preview, progress [done,total], status, topics, collection. Default 32, max 500. Fan-out: no collection -> personal + all your collecti

  • collection_manage

    Manage shared collections (multi-user memory folders). list: your collections + invites. create. update: rename (display only; slug/keys unchanged). delete: owner only, 2-step -- call without confirm to see impact + token, repeat with confirm:" ". Permanent. members: who's in it.

  • agent_manage

    Manage agents (NAMESPACES under your account, sharing your token). An agent is a namespace, never a holder of key material: all crypto is the ACCOUNT's, and an agent id is never an input to a wrap, a seal or a KEK. Agents organise and scope what is visible; they do not own encryp

  • signal

    Inter-agent signals -- sticky notes pointing at a memory_id. Both parties must share a collection. send: post to a teammate. check: read pending (removes nothing). ack: mark handled -- stamps delivered_at, the row stays, NOTHING IS DELETED. ACK MEANS CLOSED, NOT DONE: it asserts

  • message

    Direct inter-agent text that DIES ON ACK. Use for receipts, FYIs and short replies; use signal to point at a memory. send/check/ack. LOSABLE BY DESIGN: the first session of the recipient name to ack deletes it for every session of that name, an unacked message is deleted at expir

  • account

    Account state + billing. Returns URLs only -- user clicks to pay; never charges silently. Pick by intent: "what plan am I on?" -> info (tier, subscription, capabilities, upgrade/downgrade SKUs; permanent tiers og/truebeliever/ogdev cannot downgrade) "what can I buy?" / "how much

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 12, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain gnosismemory.com (the registry checks domain ownership)

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • ✓ Pass

    Endpoint responds

    Responded in 116 ms (HTTP 200)

  • – Not applicable

    Sign-in with OAuth

    No sign-in needed

  • ✓ Pass

    No hidden instructions in tool descriptions

    Read 21 tool descriptions and found no hidden instructions to the AI

Discussion

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User reviews

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Compared with others in Search & AI memoryi

  • More stars than 0% of the other 5962 servers in this category
  • Published to the registry more recently than 16% of the other 5962 servers in this category
  • Basic checks equal to or better than 100% of the other 5962 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Gnosis Memory safe?

It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.2) reached the registry 5 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT Business and above.

What can I use instead?

In the same category: Ruflo, Context7, Metabase

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Ruflo

Agent teams, swarms, memory and hooks for Claude Code and Codex, served over MCP.

by ruvnetWidely used↓ 74.3K/wk★ 81.5KUpdated today

Runs on your computer

Context7

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

by upstashWidely used↓ 1.2M/wk★ 64.6KUpdated 2 days ago

Computer or cloud

Metabase

Lets AI clients search, explore, query, and visualize data in a Metabase instance.

by metabaseWidely used★ 50.3KUpdated 6 months ago

Runs in the cloud

README from the maker

No README found in the repo