📝 Add memory management user guide in Chinese and English

Author: Phinease

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+# 🧠Nexent Intelligent Memory System Technical Specification
+
+## 1. System Architecture Overview
+
+The Nexent Intelligent Memory System is built on an advanced memory storage architecture that provides intelligent agents with persistent context-aware capabilities. Through a multi-layered memory management mechanism, the system achieves cross-conversation knowledge accumulation and retrieval, significantly enhancing the coherence and personalization of human-machine interactions.
+
+### Core Technical Features
+- **Layered Memory Architecture**: Four-level memory storage system built on the mem0 framework
+- **Adaptive Memory Management**: Supports both automated and manual memory operation modes
+- **Cross-Session Persistence**: Ensures continuity of knowledge and context across multiple conversations
+- **Fine-Grained Permission Control**: Provides flexible memory sharing strategy configuration
+
+---
+
+## 2. Configuration and Initialization
+
+### 2.1 System Activation
+1. Access the memory management interface: Click the **Memory Management Icon** in the upper right corner of the conversation interface
+2. Enter the **System Configuration** module for initialization settings
+
+### 2.2 Core Configuration Parameters
+
+| Configuration Item | Options | Default Value | Description |
+|-------------------|---------|---------------|-------------|
+| Memory Service Status | Enable/Disable | Enable | Controls the operational status of the entire memory system |
+| Agent Memory Sharing Strategy | Always Share/Ask Me Each Time/Prohibit Sharing | Always Share | Defines whether user authorization consent is required for memory sharing between agents |
+
+<div style="display: flex; justify-content: left;">
+  <img src="./assets/memory/mem-config.png" style="width: 80%; height: auto;" alt="Select Agent" />
+</div>
+
+---
+
+## 3. Layered Memory Architecture
+
+Nexent adopts a four-layer memory storage architecture based on **mem0**, achieving precise memory classification and retrieval through different scopes and lifecycle management:
+
+### 3.1 Architecture Layer Details
+
+| Memory Level | Scope | Storage Content | Lifecycle | Configuration Role | Typical Applications |
+|--------------|-------|-----------------|-----------|-------------------|---------------------|
+| **Tenant Level Memory** | Organization-wide | Enterprise-level standard operating procedures, compliance policies, organizational structure, factual information | Long-term storage | Tenant Administrator | Enterprise knowledge management, standardized process execution, compliance checking |
+| **Agent Level Memory** | Specific Agent | Professional domain knowledge, skill templates, historical conversation summaries, learning accumulation | Consistent with agent lifecycle | Tenant Administrator | Professional skill accumulation, domain knowledge sedimentation, experiential learning |
+| **User Level Memory** | Specific User Account | Personal preference settings, usage habits, common instruction templates, personal information | Long-term storage | All Users | Personalized services, user experience optimization, preference management |
+| **User-Agent Level Memory** | Specific Agent under Specific User Account | Collaboration history, personalized factual information, specific task context, relationship models | Consistent with agent lifecycle | All Users | Deep collaboration scenarios, personalized tuning, task continuity maintenance |
+
+### 3.2 Memory Priority and Retrieval Strategy
+
+Memory retrieval follows the following priority order (from high to low):
+1. **Tenant Level** → Basic facts
+2. **User-Agent Level** → Most specific context information
+3. **User Level** → Personal preferences and habits
+4. **Agent Level** → Professional knowledge and skills
+
+---
+
+## 4. Operation Modes and Functional Interfaces
+
+### 4.1 Automated Memory Management
+- **Intelligent Extraction**: Automatically identifies key factual information in conversations and generates memory entries
+- **Automatic Context Embedding**: Agents automatically retrieve the most relevant memory entries and implicitly embed them in conversation context
+- **Incremental Updates**: Supports progressive updates, supplementation, and automatic cleanup of memory content
+
+### 4.2 Manual Memory Operations
+
+#### Adding Memory
+- Click the green plus button, input text, then click the checkmark to add a memory entry (maximum 500 characters)
+
+<div style="display: flex; justify-content: left;">
+  <img src="./assets/memory/add-mem.png" style="width: 80%; height: auto;" alt="Select Agent" />
+</div>
+
+#### Deleting Memory
+- Click the red cross button, then click confirm in the popup confirmation dialog to delete all memory entries under a specific Agent group
+- Click the red eraser button to delete a specific memory entry
+
+<div style="display: flex; justify-content: left;">
+  <img src="./assets/memory/delete-mem.png" style="width: 80%; height: auto;" alt="Select Agent" />
+</div>
+
+### 4.3 Memory Management Best Practices
+
+1. **Atomicity Principle**: Each memory entry should contain **concise**, **single**, **clear** factual information
+2. **Temporal Management**: Regularly clean up outdated or no longer relevant memory entries to maintain the timeliness and accuracy of the memory database
+3. **Privacy Protection**: Sensitive information should be avoided from being shared at the tenant level or agent level 

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+# 🧠Nexent 智能记忆系统技术规格说明
+
+## 1. 系统架构概述
+
+Nexent 智能记忆系统基于先进的记忆存储架构，为智能体提供持久化的上下文感知能力。该系统通过多层级记忆管理机制，实现了跨对话会话的知识累积与检索，显著提升了人机交互的连贯性和个性化程度。
+
+### 核心技术特性
+- **分层记忆架构**：基于 mem0 框架构建的四级记忆存储体系
+- **自适应记忆管理**：支持自动化和手动化的记忆操作模式
+- **跨会话持久化**：确保知识和上下文在多次对话中的连续性
+- **细粒度权限控制**：提供灵活的记忆共享策略配置
+
+---
+
+## 2. 配置与初始化
+
+### 2.1 系统激活
+1. 访问记忆管理界面：点击对话界面右上角的**记忆管理图标**
+2. 进入**系统配置**模块进行初始化设置
+
+### 2.2 核心配置参数
+
+| 配置项 | 选项              | 默认值 | 说明                       |
+|--------|-----------------|--------|--------------------------|
+| 记忆服务状态 | 启用/禁用           | 启用 | 控制整个记忆系统的运行状态            |
+| Agent 记忆共享策略 | 总是共享/每次询问我/禁止共享 | 总是共享 | 定义Agent间共享记忆生成是否需要用户授权同意 |
+
+<div style="display: flex; justify-content: left;">
+  <img src="./assets/memory/mem-config.png" style="width: 80%; height: auto;" alt="选择智能体" />
+</div>
+
+---
+
+## 3. 分层记忆架构
+
+Nexent 采用基于 **mem0** 的四层记忆存储架构，通过不同的作用域和生命周期管理，实现精确的记忆分类与检索：
+
+### 3.1 架构层级详解
+
+| 记忆级别 | 作用域 | 存储内容 | 生命周期 | 配置角色 | 典型应用 |
+|---------|--------|----------|----------|----------|----------|
+| **租户级记忆**<br/>（Tenant Level Memory） | 组织全局 | 企业级标准操作流程、合规政策、组织架构、事实信息 | 长期存储 | 租户管理员 | 企业知识管理、标准化流程执行、合规性检查 |
+| **智能体级记忆**<br/>（Agent Level Memory） | 特定智能体 | 专业领域知识、技能模板、历史对话摘要、学习积累 | 与智能体生命周期一致 | 租户管理员 | 专业技能积累、领域知识沉淀、经验学习 |
+| **用户级记忆**<br/>（User Level Memory） | 特定用户账户 | 个人偏好设置、使用习惯、常用指令模板、个人信息 | 长期存储 | 全体用户 | 个性化服务、用户体验优化、偏好管理 |
+| **用户-智能体级记忆**<br/>（User-Agent Level Memory） | 特定用户账户下的特定智能体 | 协作历史、个性化事实信息、特定任务上下文、关系模型 | 与智能体生命周期一致 | 全体用户 | 深度协作场景、个性化调优、任务连续性维护 |
+
+### 3.2 记忆优先级与检索策略
+
+记忆检索遵循以下优先级顺序（由高到低）：
+1. **租户级** → 基础事实
+2. **用户-智能体级** → 最具体的上下文信息
+2. **用户级** → 个人偏好和习惯
+3. **智能体级** → 专业知识和技能
+
+---
+
+## 4. 操作模式与功能接口
+
+### 4.1 自动化记忆管理
+- **智能提取**：自动识别对话中的关键事实信息并生成记忆条目
+- **自动上下文嵌入**：智能体将自动检索相关性最高的记忆条目，隐式嵌入对话上下文中
+- **增量更新**：支持记忆内容的渐进式更新、补充和自动清理
+
+### 4.2 手动记忆操作
+
+#### 添加记忆
+- 点击绿色的“对话加号”按钮，输入文本，再点击对钩可添加一条记忆条目（最多500字符）
+
+<div style="display: flex; justify-content: left;">
+  <img src="./assets/memory/add-mem.png" style="width: 80%; height: auto;" alt="选择智能体" />
+</div>
+
+#### 删除记忆
+- 点击红色叉号按钮，在跳出的二次确认弹框中点击确认按钮，可删除某个Agent分组下所有的记忆条目
+- 点击红色橡皮按钮，可删除特定的一条记忆条目
+
+<div style="display: flex; justify-content: left;">
+  <img src="./assets/memory/delete-mem.png" style="width: 80%; height: auto;" alt="Select Agent" />
+</div>
+
+### 4.3 记忆管理最佳实践
+
+1. **原子性原则**：每条记忆应包含 **简洁**、**单一**、**明确** 的事实信息
+2. **时效性管理**：定期清理过时或不再相关的记忆条目，保持记忆库的时效性和准确性
+3. **隐私保护**：敏感信息应尽量避免在租户层级或智能体层级进行共享