Agenten stärken
Der eigene Befehl des Herausgebers. Kein PlugMCP-Endpunkt.
Host a copy with our keys and logs.
npx -y [email protected]Claude Code hat keinen Installationslink für einen lokalen Befehl. Kopieren Sie den Befehl unten und führen Sie ihn in einem Terminal aus.
OPENAI_API_KEY=<secret> claude mcp add io.github.hustada-collective-memory -- npx -y collective-memory@0.1.2In einem Terminal ausführen.
{ "mcpServers": { "io.github.hustada-collective-memory": { "command": "npx", "args": [ "-y", "[email protected]" ], "env": { "OPENAI_API_KEY": "<secret>" } } }}claude_desktop_config.json
Remote-URL oder ein Befehl auf Ihrem Rechner? Worin sich die beiden Installationen unterscheiden
Auf PlugMCP ausführen
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
StartenVom Herausgeber
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.
MCP server for persistent, semantic memory across AI sessions
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 context
- `recall(query, project?, type?, limit?)` — Search memory
**On 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.
Returns the stored memory ID, or existing ID if deduplicated.
Search memories by semantic similarity.
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"
# Search memories
collective-memory recall --query "database decisions" --limit 5
# Pipe content from stdin
echo "Long content here" | collective-memory remember --content-stdin --project myapp
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.
MCP server for persistent, semantic memory across AI sessions
{ "mcpServers": { "io.github.hustada-collective-memory": { "command": "npx", "args": [ "-y", "[email protected]" ], "env": { "OPENAI_API_KEY": "<secret>" } } }}Tools
Noch keine Tool-Liste. Remote-Server erhalten eine nach dem ersten Health-Check.
FAQ
Kopieren Sie auf dieser Seite die stdio-Konfiguration für Cursor, Claude Desktop, Claude Code oder VS Code. Sie nutzt die Installation des Herausgebers, keinen PlugMCP-Proxy.
Der Herausgeber nennt diese Umgebungsvariablen: OPENAI_API_KEY.
Collective Memory läuft lokal über stdio.
Zuletzt geprüft: 2026-11-09. MCP server for persistent, semantic memory across AI sessions