🧠 The production-ready cognitive foundation for autonomous systems such as OpenClaw and Embodied-AI. For memory management, from extraction and search to automated optimization, with SKILL, CLI, API, MCP, and insights dashboard out-of-the-box.
暂未识别到可直接复制的 MCP 配置，请查看 GitHub README。后台管理员可以补充配置。
English | 中文 🧠 The AI-native memory framework for building intelligent, context-aware applications 🧠 Built with Rust, Cortex Memory is a high-performance, persistent, and intelligent long-term memory system that gives your AI agents / OpenClaw the ability to remember, learn, and personalize interactions across sessions. # 👋 What is Cortex Memory? **Cortex Memory** is a complete, production-ready framework for giving your AI applications a long-term memory. It moves beyond simple chat history, providing an intelligent memory system with a **hierarchical three-tier memory architecture** (L0 Abstract → L1 Overview → L2 Detail) that automatically extracts, organizes, and optimizes information to make your AI agents smarter and more personalized. Cortex Memory uses a sophisticated pipeline to process and manage memories, centered around a **hybrid storage architecture** combining **virtual-filesystem** durability with vector-based **semantic search**. | Blazing Fast **Layered Context Loading** | Context Organization as **Virtual Files** | **Precision** Memory Retrieval | | :--- | :--- | :--- | |  | |  | **Cortex Memory** organizes data using a **virtual filesystem** approach with the `cortex://` URI scheme: ``` # Basic Structure cortex://{dimension}/{path} # Dimensions session/ - Session memories (conversation history, timeline) user/ - User memories (preferences, entities, events) agent/ - Agent memories (cases, skills) resources/ - Knowledge base resources # Examples cortex://session/{session_id}/timeline/{date}/{time}.md cortex://user/preferences/{name}.md cortex://agent/cases/{case_id}.md cortex://resources/{resource_name}/ ``` # 😺 Why Use Cortex Memory? Transform your stateless AI into an intelligent, context-aware partner. Before Cortex Memory After Cortex Memory Stateless AI Forgets user details after every session Lacks personalization and context Repeats questions and suggestions Limited to short-term conversation history Feels robotic and impersonal Intelligent AI with Cortex Memory Remembers user preferences and history Provides deeply personalized interactions Learns and adapts over time Maintains context across multiple conversations Builds rapport and feels like a true assistant 🌟 For: - Developers building LLM-powered chatbots and agents. - Teams creating personalized AI assistants. - Open source projects that need a memory backbone. - Anyone who wants to build truly intelligent AI applications! ❤️ Like Cortex Memory? Star it 🌟 or [Sponsor Me](https://github.com/sponsors/sopaco)! ❤️ # 🌠 Features & Capabilities - File-System Based Storage: Memory content stored as markdown files using the `cortex://` virtual URI scheme, enabling version control compatibility and portability. - Intelligent Memory Extraction: Automatically extracts structured memories (facts, decisions, entities) from conversations using LLM-powered analysis with confidence scoring. - Vector-Based Semantic Search: High-performan...
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