{"repo":"ClaudioDrews/memory-os","free":true,"listed":false,"github":"https://github.com/ClaudioDrews/memory-os","clone":"git clone https://github.com/ClaudioDrews/memory-os.git","description":"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.","language":"Python","stars":1328,"topics":["ai-memory","context-injection","docker","ground-truth","hermes-agent","local-first","open-source","persistent-memory","qdrant","rag"],"license":"MIT","category":"ai-agents","readme_excerpt":"Memory OS — Hermes Agent Memory Operating System Your agent finally stops forgetting. \\ Permanent memory. Local memory infrastructure. API-provider agnostic. Surgically token-efficient. Seven memory layers. Automatic, intelligent context injection. Structured facts with trust scoring. A self-curating wiki pipeline. Semantic search across every conversation you've ever had . Memory OS turns Hermes Agent into a real long-term collaborator — one that remembers your projects, your decisions, your reasoning, and brings exactly the right context back at exactly the right moment. Like talking to a colleague who was there for every session. Memory infrastructure runs entirely on your machine. Works with any LLM provider — OpenRouter, OpenAI, Anthropic, Ollama, or local models. No memory subscription. No vendor lock-in. --- What's New in v0.2.0 One-command install. curl -sSL https://raw.githubusercontent.com/ClaudioDrews/memory-os/main/setup.sh bash sets up the entire stack — Docker services, SQLite databases, Icarus plugin, environment — in one shot. The 10-step manual guide is now a fallback for troubleshooting. Community infrastructure. Issue templates (bug report + feature request), PR checklist, and contributing guide. Project is ready for external contributors — and already has them. 20+ fixes from systematic audit. Community-driven review across setup, configuration, performance, and resilience. Highlights: provider-agnostic LLM extraction, O(1) path lookups, FTS5-powered sessi","default_branch":null,"files":null,"tree":[],"storefront":"/r/ClaudioDrews","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/ClaudioDrews/memory-os/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}