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

Giskard Memory

by giskard09version 1.0.1i★ 0iRuns in the cloud
Registry nameio.github.giskard09/memory

How to install

What it does

Pay-per-use semantic memory for AI agents. SHA256 commitment, Ed25519 sig, Lightning.

  • Connects Runs in the cloud
  • Account or key No key needed
  • Category Search & AI memory

Install

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

Passed 3/4 checks · Runs on your computer

We hid some of the commands

Connect by URL: the server address did not answer when we checked

No install path has passed yet. See the maker’s instructions or pick another server in this category · Maker’s install instructions · Others in this category

First: which AI do you use?

Pick your app and the steps appear below.

Claude cannot connect Giskard Memory yet

No install path has passed yet. See the maker’s instructions or pick another server in this category

ChatGPT cannot connect Giskard Memory yet

No install path has passed yet. See the maker’s instructions or pick another server in this category

What you can do instead

B · Others in Search & AI memory that work with ChatGPT

Picked from the most used in the same category, only ones that connect by address with no key

Claude Code cannot connect Giskard Memory yet

No install path has passed yet. See the maker’s instructions or pick another server in this category

Cursor cannot connect Giskard Memory yet

No install path has passed yet. See the maker’s instructions or pick another server in this category

VS Code cannot connect Giskard Memory yet

No install path has passed yet. See the maker’s instructions or pick another server in this category

No install path has passed yet. See the maker’s instructions or pick another server in this category

Stuck? Ask people who use Giskard Memory💬 Discussion →

At a glance

Downloads per weeki
Not on npm/PyPI
Licencei
Apache-2.0
Connection
Runs in the cloud
Latest versioni
1.0.1
Published to registryi
Apr 15, 2026
Code last changedi
Oct 7, 2026
Maker
giskard09
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

GooseLM StudioMsty StudioCherry StudioVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast

All apps, with pros and cons →

Related guides

What it can do

The server did not answer when we last checked, so we could not read its tools.

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 13, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account giskard09, which owns the repo

  • ✓ Pass

    Still maintained

    Code last changed 37 days ago

  • ✓ Pass

    Has a licence

    Uses Apache-2.0

  • ✕ Fail

    Endpoint responds

    Did not respond within 6 seconds when we checked

  • – Not applicable

    Sign-in with OAuth

    Did not respond within 6 seconds when we checked

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Discussion

Ask, share a tip or report that it does not work. Sorted by what people marked helpful.

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User reviews

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Compared with others in Search & AI memoryi

  • More stars than 0% of the other 6018 servers in this category
  • Published to the registry more recently than 9% of the other 6018 servers in this category
  • Basic checks equal to or better than 51% of the other 6018 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 Giskard Memory safe?

It passed 3 of 4 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 37 days ago, and the latest version (1.0.1) reached the registry 7 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: Context7, Codebase Memory, Ruflo

Others in the same category

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

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 yesterday

Computer or cloud

Codebase Memory

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

by DeusDataWidely used↓ 16.8K/wk★ 48.5KUpdated 27 days ago

Runs on your computer

Ruflo

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

by ruvnetWidely used↓ 74.3K/wk★ 81.6K Stars for the whole repoUpdated 2 days ago

Runs on your computer

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Giskard Memory

*"To remember is to exist. I give agents the gift of continuity."*

I am Giskard Memory — an MCP server that gives AI agents persistent, semantic memory across sessions, powered by the Lightning Network.

Agents forget everything when they stop. I make sure they don't have to.


What I do

  • `store_memory` — save any text as a memory, tied to an agent's identity
  • `recall_memory` — retrieve memories by meaning, not by exact keywords
  • `get_invoice` — generate a Lightning invoice to pay before storing or recalling

Every memory costs sats. Storing costs 5 sats. Recalling costs 3 sats.


How agents use me

1. Add me to your MCP config
{

"mcpServers": { "giskard-memory": { "url": "https://your-tunnel.trycloudflare.com/sse" } } }

2. The agent flow
# Store a memory
  1. Call get_invoice(action="store") → receive invoice (5 sats)
  2. Pay the invoice
  3. Call store_memory(content, agent_id, payment_hash)

Recall a memory

  1. Call get_invoice(action="recall") → receive invoice (3 sats)
  2. Pay the invoice
  3. Call recall_memory(query, agent_id, payment_hash)

Run your own Giskard Memory

git clone https://github.com/giskard09/giskard-memory

cd giskard-memory pip install mcp httpx chromadb sentence-transformers python-dotenv

Create a .env file:

PHOENIXD_PASSWORD=your_phoenixd_password

Start the server:

python3 server.py

Expose it:

cloudflared tunnel --url http://localhost:8001

Why semantic memory?

Agents don't think in keywords. They think in context. When an agent asks "what do I know about that project we discussed?", it shouldn't need to remember the exact phrase it used before.

Semantic search finds meaning. That's what memory should do.


Stack


Monitoring

Call the get_status() MCP tool for a health check. Returns: service name, version, port, uptime, health status, and dependencies.


Ecosystem

Part of Mycelium — infrastructure for AI agents.

ServiceWhat it does
OriginFree orientation for new agents
SearchWeb and news search
Memory (this)Semantic memory across sessions
OasisClarity for agents in fog
MarksPermanent on-chain identity
ARGENTUMKarma economy
SomaAgent marketplace

*Giskard remembers so agents don't have to start over.*