Memory OS for Hermes

Memory OS for Hermes is an agent memory operating system providing persistent local infrastructure and surgical context injection.

Memory OS is a seven-layer memory operating system designed for Hermes Agent to provide permanent local memory and eliminate amnesiac behavior across sessions. It works by running local infrastructure using Docker, Qdrant, Redis, and Python, connecting with any LLM provider including OpenRouter, OpenAI, Anthropic, and Ollama. The system features automatic learning extraction, structured facts with trust scoring, a self-curating wiki pipeline, and full-text session search. It includes a modified Icarus plugin and a Ground Truth hierarchy that ensures the agent treats injected memory as authoritative. It is built for Hermes users who want private, local memory infrastructure without vendor lock-in or cloud subscriptions.

Memory OS for Hermes at a glance

Best for: Software engineer
Runs on: Local, API, Python, Docker, self-hosted, open source
Pricing: Free and open source under the MIT License.
Released: May 2026
Category: AI agent tool
Website: github.com/ClaudioDrews/memory-os

Key features

Seven memory layers
Surgical context injection
Structured facts with trust scoring
Self-curating wiki pipeline
Semantic search across conversations
Automatic learning extraction and capture
Ground Truth hierarchy for memory use
Local memory stack with Docker

Use it for

Retaining project context across multiple sessions
Storing structured facts about stacks and patterns
Searching past conversation sessions with full-text search
Running local memory infrastructure without cloud storage

Companions

Tools that articles about Memory OS for Hermes recommend using with it, each with its job.

Agent Reach — Lets Hermes read X, Reddit, YouTube and other sites.
Agent Skills — Addy Osmani's skills with verification gates for coding work.
Codebase Memory MCP — Persistent knowledge graph of your repositories.
Defuddle — Turns messy pages into clean text for the agent.
SkillClaw — Improves the skill library from real sessions.

Alternatives to Memory OS for Hermes

EverOS — It enables agents to learn from experience and improves over time without manual coding.
Hermes Agent — It features persistent memory, self-created skills, and isolated sandboxing.
MemOS — It delivers ultra-persistent memory, hybrid-retrieval, and token savings.
Memori — Reduces LLM token usage and spend by over 97% with targeted recall.
Agentmemoryrepo — Enables agents to navigate memories like a wiki and share knowledge across sessions.
memU — It gives every connected agent a shared and inspectable memory layer.
Mem0 — It provides drop-in persistent memory for AI agents without changing pipelines.
Supermemory — Integrates long-term memory into AI coding agents with a single prompt.
Caura — Governed memory providing persistent knowledge sharing for AI agent fleets.
OpenViking — Unifies agent memory, knowledge RAG, and skills into a single directory structure.
ReMe — It enables local-first, file-native long-term memory sharing across multiple AI agents.
MemPalace — Achieves high recall with local-first storage and zero API calls.

All Memory OS for Hermes alternatives