Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Pay-per-use semantic memory for AI agents. SHA256 commitment, Ed25519 sig, Lightning.
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?
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Claude cannot connect Giskard Memory yet
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ChatGPT cannot connect Giskard Memory yet
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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
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Cursor cannot connect Giskard Memory yet
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VS Code cannot connect Giskard Memory yet
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No install path has passed yet. See the maker’s instructions or pick another server in this category
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
The server did not answer when we last checked, so we could not read its tools.
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
The registry name was verified with the GitHub account giskard09, which owns the repo
Code last changed 37 days ago
Uses Apache-2.0
Did not respond within 6 seconds when we checked
Did not respond within 6 seconds when we checked
Not checked yet; we read the tool list when we check the endpoint
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Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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.
The GitHub repo last changed 37 days ago, and the latest version (1.0.1) reached the registry 7 months ago.
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.
In the same category: Context7, Codebase Memory, Ruflo
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
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Agent teams, swarms, memory and hooks for Claude Code and Codex, served over MCP.
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.
*"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.
Every memory costs sats. Storing costs 5 sats. Recalling costs 3 sats.
{
"mcpServers": { "giskard-memory": { "url": "https://your-tunnel.trycloudflare.com/sse" } } }
# Store a 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
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.
Call the get_status() MCP tool for a health check. Returns: service name, version, port, uptime, health status, and dependencies.
Part of Mycelium — infrastructure for AI agents.
| Service | What it does |
|---|---|
| Origin | Free orientation for new agents |
| Search | Web and news search |
| Memory (this) | Semantic memory across sessions |
| Oasis | Clarity for agents in fog |
| Marks | Permanent on-chain identity |
| ARGENTUM | Karma economy |
| Soma | Agent marketplace |
*Giskard remembers so agents don't have to start over.*