MemoryBear v0.2.8 Community Release Notes — Jade in Splendor

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MemoryBear v0.2.8 Community Release Notes — Jade in Splendor

Release Date: March 20, 2026 | Codename: JingYu (景玉 · Jade in Splendor)

MemoryBear v0.2.8 Community brings major upgrades to application sharing, multimodal interaction, and platform infrastructure. This release introduces voice input/output, multimodal perceptual memory, cloud file storage, and workspace-level identity — delivering a more capable and resilient open platform for AI memory management.

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🚀 I. Core Upgrade Overview

1. Application Sharing & Publishing

• Application Sharing (Agent, Workflow, Agent Cluster): Full sharing support across all application types — Agents, Workflows, and Agent Clusters can now be shared to other workspaces.
• Memory Enabled by Default on Shared Apps: When an application is published and shared, memory is enabled by default. Users receive a reminder when attempting to disable it, ensuring conversational context continuity.
• Workflow Memory Sharing Rules: Workflows configured with memory extraction and memory storage have memory enabled by default on the experience sharing page and cannot be disabled; workflows without memory configuration have memory disabled by default and cannot be enabled.
• Shared Session Web Search Fix: Fixed an issue where web search functionality stopped working after sharing an application session, restoring full internet access for shared apps.

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2. Multimodal & Interaction 💬

• Voice Input for Models & Apps: Model interfaces and applications now support voice input, enabling hands-free interaction with Agents and Workflows.
• Rich Reply Capabilities: Applications now support voice reply modality — significantly expanding how AI can deliver results to users.
• Multimodal Memory — Perceptual Memory: The memory system now supports perceptual memory for multimodal inputs, enabling the platform to perceive and remember visual, audio, image, and file interactions across Agent dry runs, experience sharing, and API calls.
• File Display in Chat (Debug + Share): Uploaded files, images, videos, and audio now display correctly in both Agent and Workflow dry-run and experience sharing chat interfaces.

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3. Platform & Infrastructure ⚙️

• i18n Internationalization: Full internationalization support, enabling the platform to serve multi-language, multi-region users.
• Cloud File Storage (OSS + S3): The file system now supports cloud uploads via Alibaba Cloud OSS or S3, ensuring reliability and scalability for all documents.
• Flower Container for Celery Monitoring: A new Flower container for monitoring and managing Celery async and scheduled task execution. Each environment runs 3 workers, and API service restarts have been verified not to cause task interruption or log loss.

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4. EndUser Identity Migration 🔐

• EndUser Migration from app_id to workspace_id: EndUser identity has been migrated from application-level to workspace-level. Dry runs use the logged-in user's user_id as the EndUser other_id (unique per workspace); experience sharing passes other_id from the frontend; API+Key calls use the third-party ID.

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5. Episodic Memory 🧠

• Episodic Memory Clustering Algorithm: Implemented a community-graph-based episodic memory clustering algorithm, including support for generating community graphs for existing users.

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6. Robustness & Bug Fixes 🔧

• MCP Service Deletion Tool 404 Error: Fixed an issue where removing an MCP service from an Agent caused the api/tools endpoint to return a "404, tool does not exist" error.
• App Export Canvas vs. Saved Config Mismatch: Copying or exporting an Agent/Workflow via the top-left menu now correctly exports the saved configuration rather than the current unsaved canvas state.
• Workflow Duplicate Node ID Error: Fixed an issue where duplicating a workflow node triggered "Invalid workflow config: node IDs must be unique, duplicate ID: llm_qa".
• Conditional Branch Wiring Error: Fixed an issue where after adding a conditional branch/question classifier node, IF (case0) and ELSE (case1) connected to different downstream nodes, but after saving and refreshing both downstream nodes connected to IF (case0).
• Reply Node Content Loss: Fixed an issue where clicking reply node details and then clicking the canvas caused reply node content to disappear.
• Workflow Port Connection Rules: Optimized workflow node connection ports — left-to-left and right-to-right connections are now prohibited, and the end node option is no longer shown when adding nodes from left-side ports.
• Knowledge Base List Status Column Width: The status column in the knowledge base list now has a locked or adaptive width, preventing layout issues.
• Pending Document Preview Support: Documents in "pending" status (parsing enabled but not yet complete) now support preview for all file types.
• Knowledge Base Association Fixes: Consolidated fixes for multiple issues when associating knowledge bases with applications.
• Multimodal Conversation Continuity: Fixed an issue where sending multimodal content (images, videos, files, audio) in an Agent or Workflow only allowed one round of conversation, preventing follow-up questions based on uploaded media.
• Memory Storage Timezone Unification: Database storage time and task execution time now use a unified timezone controlled by environment variables, eliminating cross-environment inconsistencies.
• Forgetting Strength Decimal Precision: Fixed an issue where memory forgetting strength values displayed excessively long decimals.

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🧭 Looking Ahead

MemoryBear v0.2.8 represents a significant step toward enterprise production readiness. The introduction of SaaS administration, independent service deployment, and workspace-level identity architecture demonstrates the platform's evolution from a development tool into a governed, scalable infrastructure layer for AI memory management.

The multimodal memory capabilities introduced in this release mark a pivotal expansion of what MemoryBear can perceive and retain. By enabling perceptual memory across visual, audio, and file interactions, the platform moves closer to truly human-like cognitive assistance — where context is not limited to text but encompasses the full spectrum of user interaction.

In upcoming releases, we will deepen multi-agent collaboration patterns, expand the episodic memory clustering framework, and continue hardening the platform for high-availability enterprise deployments. Enhanced analytics, fine-grained permission controls, and broader MCP ecosystem integration are also on the horizon.

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MemoryBear v0.2.8 社区版 发布说明 —— 景玉生辉

发布日期： 2026年3月20日 ｜ 版本代号： 景玉（JingYu · Jade in Splendor）

MemoryBear v0.2.8 社区版在应用共享、多模态交互和平台基础设施方面带来重大升级。本版本引入语音输入输出、多模态感知记忆、云端文件存储和工作空间级身份体系，为 AI 记忆管理提供更强大、更稳健的开放平台。

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🚀 一、核心升级概览

1. 应用共享与发布

• 应用共享（Agent、工作流、Agent 集群）：全面支持所有应用类型的共享——Agent、工作流和 Agent 集群均可共享至其他空间。
• 分享应用默认开启记忆功能：应用发布分享后，记忆功能默认开启。用户尝试关闭时会收到提醒，确保上下文对话的连续性。
• 工作流记忆分享规则：工作流配置了记忆提取和记忆存储后，体验分享页面默认开启记忆功能且不可取消；未配置记忆的工作流则默认关闭记忆功能且不可开启。
• 分享会话联网搜索修复：修复了应用会话分享后联网搜索功能失效的问题，恢复分享应用的完整联网能力。

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2. 多模态与交互 💬

• 模型与应用支持语音输入：模型接口和应用现已支持语音输入，实现 Agent 和工作流的免手操作交互。
• 丰富的回复能力：应用现支持语音回复模态——大幅拓展了 AI 传达结果的方式。
• 多模态记忆——记忆库感知记忆：记忆系统现支持多模态输入的感知记忆，使平台能够在 Agent 试运行、体验分享和 API 调用中感知和记忆视觉、音频、图片和文件交互。
• 对话框中展示上传文件（调试 + 分享）：上传的文件、图片、视频和音频现可在 Agent 和工作流的试运行及体验分享对话界面中正确展示。

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3. 平台与基础设施 ⚙️

• i18n 国际化：全面支持国际化，使平台能够服务多语言、多地区用户。
• 云端文件存储（OSS + S3）：文件系统现支持通过阿里云 OSS 或 S3 上传至云端，确保所有文档的可靠性和可扩展性。
• Flower 容器监控 Celery 任务：新增 Flower 容器用于监控和管理 Celery 异步任务及定时任务的执行状态。每个环境运行 3 个 worker，已验证 API 服务重启不会导致任务中断或日志丢失。

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4. EndUser 身份迁移 🔐

• EndUser 从 app_id 迁移至 workspace_id：End_User 身份从应用级迁移至工作空间级。试运行取登录用户的 user_id 作为 End_User 的 other_id（同一空间唯一）；体验分享由前端传递 other_id；API+Key 调用取第三方 ID。

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5. 情景记忆 🧠

• 情景记忆聚类算法：实现了基于社区图谱的情景记忆聚类算法，包括为已有老用户生成社区图谱的支持。

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6. 稳健性与缺陷修复 🔧

• 删除 MCP 服务后工具 404 错误：修复了从 Agent 中删除 MCP 服务后，api/tools 接口返回"404，工具不存在"错误的问题。
• 应用导出保存画布与已保存配置不一致：通过左上角复制或导出 Agent/工作流时，现在正确导出已保存的配置而非当前未保存的画布状态。
• 工作流复制节点 ID 重复错误：修复了复制工作流节点后运行提示"工作流配置无效：节点 ID 必须唯一，重复的 ID: llm_qa"的问题。
• 条件分支连线错误：修复了添加条件分支/问题分类器节点后，IF（case0）和 ELSE（case1）分别连接不同下游节点，保存刷新后两个下游节点都连到 IF（case0）的问题。
• 回复节点内容丢失：修复了点击回复节点详情后再点击画布，回复节点内容消失的问题。
• 工作流连接桩规则优化：优化了工作流节点连接桩——禁止左左相连和右右相连，左侧连接桩添加节点时不再展示结束节点选项。
• 知识库列表状态列宽度：知识库列表的状态列现已锁定宽度或自适应，防止布局错乱。
• 等待中文档支持预览：处于"等待中"状态（已开启解析但未完成）的文档现支持各类型文件的预览。
• 知识库关联问题汇总修复：统一修复了应用中关联知识库时的多个问题。
• 多模态对话连续性：修复了在 Agent 或工作流中发送多模态内容（图片、视频、文件、音频）后只能进行一轮对话、无法基于已上传媒体继续提问的问题。
• 记忆存储时区统一：数据库存储时间和任务执行时间现采用环境变量统一控制时区，消除跨环境不一致问题。
• 遗忘强度小数精度：修复了记忆遗忘强度值显示过长小数的问题。

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🧭 未来展望

MemoryBear v0.2.8 标志着平台向企业生产就绪迈出的重要一步。SaaS 管理后台、独立服务部署和工作空间级身份架构的引入，展现了平台从开发工具向可治理、可扩展的 AI 记忆基础设施层的演进。

本版本引入的多模态记忆能力标志着 MemoryBear 感知与留存能力的关键性扩展。通过在视觉、音频和文件交互中启用感知记忆，平台正朝着真正类人的认知辅助方向迈进——上下文不再局限于文本，而是涵盖用户交互的全部维度。

在后续版本中，我们将深化多智能体协作模式、扩展情景记忆聚类框架，并持续强化平台的高可用企业部署能力。增强的分析能力、细粒度权限控制和更广泛的 MCP 生态集成也已提上日程。

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