Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
MCP server for persistent, semantic memory across AI sessions
Pick the AI app you use, then copy the settings.
Passed 3/3 checks · Runs on your computer · ✓ Commands checked Nov 13, 2026
First: which AI do you use?
Pick your app and the steps appear below.
Works with Claude, with some setup first
You need a Collective Memory key (create it on the maker’s site) · Install Node.js on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
One time only; it works for every server that needs Node.js
Open the maker’s site, sign up and create an API key for the next step. Check the maker’s site for pricing and free plans.
How to get a key is in the maker’s README below
SettingsDeveloperEdit Config
{
"mcpServers": {
"collective-memory": {
"command": "npx",
"args": [
"-y",
"collective-memory"
],
"env": {
"OPENAI_API_KEY": "your-value"
}
}
}
}Paste the key only into the app’s field, never into a chat or to anyone
Use Collective Memory and tell me what you can do for me, then show me one thing✓ If Claude says it is using Collective Memory or shows a Collective 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
ChatGPT cannot connect Collective Memory yet
Collective Memory runs on your computer, but ChatGPT can only connect servers that run on the web
A · Use an app that can connect Collective Memory
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
Works with Claude Code, with some setup first
You need a Collective Memory key (create it on the maker’s site) · Install Node.js on your computer first (one time)
One time only; it works for every server that needs Node.js
Open the maker’s site, sign up and create an API key for the next step. Check the maker’s site for pricing and free plans.
How to get a key is in the maker’s README below
Mac: press Command+Space and type Terminal · Windows: open PowerShell
claude mcp add --scope user collective-memory --env OPENAI_API_KEY=your-value -- npx -y collective-memoryReplace “your-value” with your key before pressing Enter
Paste the key only into the app’s field, never into a chat or to anyone
You should see Collective Memory listed as connected
Use Collective Memory and tell me what you can do for me, then show me one thing✓ If Claude Code says it is using Collective Memory or shows a Collective 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, with some setup first
You need a Collective Memory key (create it on the maker’s site) · Install Node.js on your computer first (one time)
One time only; it works for every server that needs Node.js
Open the maker’s site, sign up and create an API key for the next step. Check the maker’s site for pricing and free plans.
How to get a key is in the maker’s README below
In the Collective Memory settings, OPENAI_API_KEY is empty; add your key and save
Paste the key only into the app’s field, never into a chat or to anyone
Use Collective Memory and tell me what you can do for me, then show me one thing✓ If Cursor says it is using Collective Memory or shows a Collective 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, with some setup first
You need a Collective Memory key (create it on the maker’s site) · Install Node.js on your computer first (one time)
One time only; it works for every server that needs Node.js
Open the maker’s site, sign up and create an API key for the next step. Check the maker’s site for pricing and free plans.
How to get a key is in the maker’s README below
In the Collective Memory settings, OPENAI_API_KEY is empty; add your key and save
Paste the key only into the app’s field, never into a chat or to anyone
Use Collective Memory and tell me what you can do for me, then show me one thing✓ If VS Code says it is using Collective Memory or shows a Collective 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.
JSON settings are under “For developers” below
Claude Code
claude mcp add --scope user collective-memory --env OPENAI_API_KEY=your-value -- npx -y collective-memoryClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"collective-memory": {
"command": "npx",
"args": [
"-y",
"collective-memory"
],
"env": {
"OPENAI_API_KEY": "your-value"
}
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"collective-memory": {
"command": "npx",
"args": [
"-y",
"collective-memory"
],
"env": {
"OPENAI_API_KEY": "your-value"
}
}
}
}VS Code (mcp.json)
{
"servers": {
"collective-memory": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"collective-memory"
],
"env": {
"OPENAI_API_KEY": "your-value"
}
}
}
}OPENAI_API_KEY secret required envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.
Run on your computer in
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
Runs on your computer; the tool list appears in your AI app after you install it.
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 14, 2026
The registry name was verified with the GitHub account Hustada, which owns the repo
Code last changed 6 months ago
Uses MIT
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Ask, share a tip or report that it does not work. Sorted by what people marked helpful.
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No reviews yet
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
You need to fill in: OPENAI_API_KEY
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed 6 months ago, and the latest version (0.1.2) reached the registry 6 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
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.
MCP server for persistent, semantic memory across AI sessions. Store context, decisions, and learnings — recall them later with natural language search.
AI assistants forget everything between sessions. Collective Memory fixes that. Store what matters, search by meaning, build context that compounds.
decision, milestone, context, learning, or session_summarynpm install -g collective-memory
Or clone and build:
git clone https://github.com/Hustada/collective-memory.git
cd collective-memory npm install npm run build
Required for embeddings. Get one at platform.openai.com.
Add to ~/.claude/settings.json under mcpServers:
{
"mcpServers": { "collective-memory": { "type": "stdio", "command": "npx", "args": ["collective-memory"], "env": { "OPENAI_API_KEY": "sk-..." } } } }
Or if installed from source:
{
"mcpServers": { "collective-memory": { "type": "stdio", "command": "node", "args": ["/path/to/collective-memory/dist/index.js"], "env": { "OPENAI_API_KEY": "sk-..." } } } }
Add to your global ~/.claude/CLAUDE.md:
## Memory
Collective Memory is active. Two tools:
remember(content, project?, type?, tags?) — Persist important contextrecall(query, project?, type?, limit?) — Search memoryOn session start: Run recall("recent decisions and context") to load relevant memory.
When to remember: after decisions, milestones, completed work, learned patterns. When to recall: session start, context switches, referencing past work.
Types: decision, milestone, context, learning, session_summary.
Store a memory with semantic embedding.
| Parameter | Type | Required | Description |
|---|---|---|---|
content | string | yes | The memory to store — be specific and self-contained |
project | string | no | Project context (e.g., "myapp", "client-x") |
type | string | no | One of: decision, milestone, context, learning, session_summary |
tags | string[] | no | Tags for categorization |
Returns the stored memory ID, or existing ID if deduplicated.
Search memories by semantic similarity.
| Parameter | Type | Required | Description |
|---|---|---|---|
query | string | yes | Natural language search query |
project | string | no | Filter to specific project |
type | string | no | Filter to specific memory type |
limit | number | no | Max results (default: 10) |
Returns array of matching memories with similarity scores.
Also usable from command line:
# Store a memory
collective-memory remember --content "Decided to use PostgreSQL for the auth service"
collective-memory recall --query "database decisions" --limit 5
echo "Long content here" | collective-memory remember --content-stdin --project myapp
| Environment Variable | Default | Description |
|---|---|---|
OPENAI_API_KEY | (required) | OpenAI API key for embeddings |
COLLECTIVE_MEMORY_PATH | ~/.collective-memory/data | Storage location |
text-embedding-3-small (768 dimensions)Memories are stored locally at ~/.collective-memory/data (or COLLECTIVE_MEMORY_PATH). It's a LanceDB database — portable, no server process.
To export memories:
npm run export # Outputs to viz/memories.json
To visualize:
npm run dash # Opens UMAP visualization at localhost:3333
MIT
Built by The Victor Collective.