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memory-os

A 7-layer memory operating system for Hermes Agent — persistent memory with Qdrant, structured facts, fabric recall, auto-curated wiki, and surgical context injection. Runs locally, any LLM provider.

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pythonai-memoryraghermes-agentground-truthlocal-firstopen-sourcePythonqdrantself-hostedcontext-injectiondockerpersistent-memoryvector-database

memory-os is a Python, self-hosted memory system described as a 7-layer memory operating system for the Hermes Agent. It provides persistent memory backed by Qdrant, structured facts, fabric recall, an auto-curated wiki, and surgical context injection, running locally with any LLM provider.

Use it when you want a local-first, layered persistent memory layer for a Hermes Agent instead of ad-hoc RAG scripts.

Use it to

  • Persist agent memory locally with Qdrant
  • Inject relevant context surgically into prompts
  • Maintain structured facts across sessions
  • Auto-curate a wiki of accumulated knowledge
  • Self-host the memory stack via Docker

For Developers building persistent-memory agents on Hermes Agent

Role
rag
Language
Python
Licence
MIT
Forks
128
Open issues
6
Last push
2026-06-10
topicsai-memorypersistent-memoryqdrantragcontext-injectionself-hosted