semantic-memory
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@semantic-memoryfind recent conversations about meditation and sleep"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
semantic-memory
ChromaDB-powered semantic memory server for nanobot.
Deployed as a Custom MCP Integration in the nanobot WebUI (Apps → Integrations → Custom). Once active, @semantic-memory in any topic gives nanobot semantic search across past conversations, health snapshots, and cross-silo topics.
Quick Start
pip install -r requirements.txt
python -m prototype.serverThen add it in the WebUI as a stdio custom integration.
What it stores
Collection | Content |
| Summarised conversation turns with dates and topics |
| Daily Whoop + fasting + training metrics |
| Discussion topics with statuses |
Tools exposed via MCP
store(collection, text, metadata)— embed and store textsearch(collection, query, n)— semantic search over stored contentstore_conversation_summary(summary, date, tags)— specialised for conversationsfind_similar_days(metrics)— retrieve health days matching current profilecollection_stats()— count entries per collection
This server cannot be installed
Maintenance
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If you are the server author, to access and configure the admin panel.
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