#ai-memory

xocortex — an MCP server that gives your AI persistent memory across ALL your projects. • Semantic search recalls past solutions by meaning • Knowledge graph connects related insights • 100% local, no API keys Went deep into cognitive science for this: 🔥 Frustration Indexing (Somatic Marker Hypothesis) → Painful debugging sessions get PRIORITY recall. Those 3-hour bugs? Never forgotten. 😴 Sleep/Dream Mechanism → Background consolidation links & deduplicates memories. Like how human sleep organizes memory. Tech stack: • MCP (Cursor/Claude native) • KùzuDB (graph + vector in one embedded DB) • fastembed (local embeddings)

**Context Keeper** 基于LLM驱动的智能上下文记忆管理系统，专为AI Agent提供企业级记忆能力。 **核心创新**：独创"宽召回+精排序"架构，通过两阶段LLM协作实现多维度检索融合（向量+时间线+知识图谱），准确率从传统RAG的45%提升至**75%+**，召回率达**80%+**。 **技术亮点**：完整实现MCP协议（HTTP/WebSocket/SSE三种传输），四维统一上下文模型（Project/Topic/Conversation/Code），支持短期/长期记忆智能转换。 **性能表现**：10000+ QPS并发能力，P95延迟<500ms，用户/工作空间完全隔离。 **开源生态**：MIT许可，Go语言实现，深度集成Cursor/VSCode IDE。让AI助手真正拥有持续记忆能力，告别重复解释，开启智能协作新时代。

A MCP (Model Context Protocol) server providing long-term memory for LLMs

One simply siphons the excess thoughts from one's mind, pours them into the basin, and examines them at one's leisure. It becomes easier to spot patterns and links, you understand, when they are in this form.

Mirror of

MCP server enabling persistent memory for Claude through a local knowledge graph - fork focused on local development