ClaudioDrews/memory-os

Health v2 · maintenance only

Flags: no_releases young

Adoption not part of the score

1338 stars · 128 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Memory OS is a seven-layer persistent memory system for the Hermes Agent, combining Qdrant vector search, structured facts with trust scoring, an auto-curated wiki, and surgical context injection. It runs entirely locally via Docker and works with any LLM provider, avoiding cloud lock-in.

Use cases

• give my ai agent persistent memory across sessions
• stop repeating context to my coding agent every conversation
• self-hosted memory for llm agents with vector search
• inject relevant past decisions into agent context automatically
• store structured facts about my projects with trust scoring
• semantic search over all past agent conversations
• local-first agent memory without vendor lock-in

When to choose

• you use Hermes Agent and want long-term memory that survives sessions
• you need local-first memory infrastructure with no cloud dependency or subscription
• you want provider-agnostic memory that works with OpenAI, Anthropic, OpenRouter, or Ollama
• you need token-efficient, surgical context injection rather than dumping full history

When to avoid

• you don't use Hermes Agent or a compatible plugin system
• you want a fully managed cloud memory service with zero setup
• you can't run Docker services locally
• you need a turnkey memory solution for non-agent chatbots without integration work

Facets

plugin · maturity active

rag vector-database search-engine agent-framework mcp chatbot artificial-intelligence large-language-models self-hosted developer-tools self-hosted python cross-platform persistent-memory context-injection qdrant hermes-agent local-first memory-layers llm-provider-agnostic knowledge-wiki ai-agents retrieval-augmented-generation docker linux macos

Member repositories

For agents

markdown · JSON · MCP: product_card(name="ClaudioDrews/memory-os")