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semantic-memory

by steeveroucaute10-epping
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Python

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.server

Then add it in the WebUI as a stdio custom integration.

Related MCP server: Eternity MCP

What it stores

Collection

Content

conversation_memory

Summarised conversation turns with dates and topics

health_snapshots

Daily Whoop + fasting + training metrics

boss_brain_topics

Discussion topics with statuses

Tools exposed via MCP

  • store(collection, text, metadata) — embed and store text

  • search(collection, query, n) — semantic search over stored content

  • store_conversation_summary(summary, date, tags) — specialised for conversations

  • find_similar_days(metrics) — retrieve health days matching current profile

  • collection_stats() — count entries per collection

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivityMaintained
ResponsivenessSyncing

Resources

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