MemoryBear v0.2.9 Community Release Notes — Listening to the Wind

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MemoryBear v0.2.9 Community Release Notes — Listening to the Wind

Release Date: March 31, 2026 | Codename: TingFeng (听风 · Listening to the Wind)

MemoryBear v0.2.9 Community delivers a deep upgrade across application capabilities and memory intelligence. This release introduces application logging, advanced episodic memory retrieval with community-based search, multimodal memory persistence into Neo4j, and user alias management — bringing the platform closer to its v0.3.0 launch milestone with refined observability and richer cognitive recall.

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🚀 I. Core Upgrade Overview

1. Application Framework

• Model-Feature Binding: Model selection is now bound to application features such as file upload types, ensuring that only compatible models are available for each capability.
• Application Logging (Message Records): A new application log system captures full message records across Agent, Workflow, and Agent Cluster interactions. Sharers can view experience sharing logs and API Key call logs (using their own key); shared users can view API Key call logs (using their own key).
• Application Features — Conversation Opener & Document Citation: Applications now support configurable conversation openers (opening remarks) and document citation in replies, enriching the user interaction experience.
• API Key Search: Added the ability to search applications by API Key, enabling quick lookup and management of key-to-app associations.
• Agent Memory Defaults: Agents now have "conversation history memory" enabled by default. When shared via experience sharing, "memory function" is enabled by default and can be toggled off — but only if "conversation history memory" was already enabled; otherwise, the memory function is not available on the shared page.
• Application Copy Fix: Fixed an issue where modifying a copied application incorrectly sent the original app's app_id instead of the copied app's app_id.

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2. Workflow Enhancements 🔧

• Document Extraction Node: A new workflow node for extracting structured content from documents, enabling document-driven automation pipelines.
• Reply Node Output Continuation: Reply node outputs can now connect to additional downstream nodes, allowing post-reply processing and branching.
• Workflow Memory Write with File Variables: Workflow memory write nodes now support configuring file-type variables via sys.files, enabling multimodal content to be persisted into Neo4j.
• Conditional Branch Whitespace Fix: Fixed an issue where conditional branch nodes failed when conditions contained spaces or newline characters.

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3. Memory Intelligence 🧠

• Multimodal Memory into Neo4j: Multimodal memory (voice, image, video) can now be persisted into Neo4j. Memory configuration supports additional model selection for voice, image, and video with on/off toggles. In this release, only Workflow-based multimodal memory write is supported; Agent support is planned for the next version. Perceptual memory must be associated with a multimodal model and a memory node to be written. Neo4j storage adds a new perceptual memory node type linked to Chunk nodes. Memory engine configuration now includes model filtering by capability — visual, audio, and video — requiring selection of models with matching abilities.
• Episodic Memory Retrieval with Community Search: Episodic memory retrieval now includes community-based search results across three retrieval modes: Quick Reply returns summaries (community summaries); Normal Reply returns summaries + communities (topic structures) + statements (atomic facts/evidence); Deep Thinking returns summaries + communities + statements + expanded statements (graph-extended implicit evidence).
• User Alias Management: Agent conversations now extract user name/alias information and display it in the "Core Profile." Editing and saving aliases in the Core Profile syncs to the end_user_info table's other_name field. Multiple aliases are supported with time-based extraction priority. Alias data is accessible via API.
• Community Node Summary Enrichment: Community node summaries are now enriched with entity_name, entity_description, and Statement.statement content, providing more comprehensive community-level context.
• Pilot Run Progress Callback: In pilot run (draft run) mode, a progress callback event is now sent upon knowledge extraction completion, including total statement count and chunk count in the payload.
• Knowledge Extraction Complete Event: A dedicated knowledge_extraction_complete event is now emitted after the knowledge_extraction_result phase concludes, providing a clear lifecycle signal for downstream consumers.
• Memory Cache System: Added caching for memory system operations, improving retrieval performance and reducing redundant computation.
• Semantic Pruning Optimization: Fixed an issue where semantic pruning during memory extraction incorrectly removed emotion and interest/hobby data. Improved pruning behavior across multiple ontology scenarios to produce differentiated results.
• Forgetting Cycle Task Fix: Fixed the run_forgetting_cycle_task scheduled task that was failing during forgetting cycle execution.
• Memory Config ID Type Fix: Fixed an issue where applications using integer-type config_id values failed to use the selected memory configuration, falling back to the workspace default config instead.
• Memory Write Issues: Fixed structured output failures and corrected clustering sequence to occur before memory write operations.
• User Memory Config Version Fix: Fixed an issue where user memory configuration was not correctly mapped to the published version's config record.

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4. Model Management 🤖

• Volcengine Model Provider: Added Volcengine (火山引擎) as a new model provider, expanding the range of available LLM backends.
• Custom Model Capabilities: Custom models now support declaring full-modality, visual, audio, and video capabilities, enabling precise model-feature matching.
• API Key Masking: Model list API responses now mask API keys, showing only the first and last 4 characters with **** in between, improving security posture.

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5. User & Platform 👥

• Username Uniqueness Relaxed: Usernames no longer require uniqueness — only email addresses must be unique, simplifying user registration and management.
• Frontend UI Validation: Comprehensive frontend UI validation pass across application pages (page checklist pending from frontend team).

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6. Robustness & Bug Fixes 🔧

• Remote File Document Type Support: Multimodal remote files now support document types in addition to media files.
• File Metadata Location: Fixed inconsistency in meta_data where file references were stored under both files and files[] formats.
• Text-to-Speech Status Feedback: Backend now provides generation status for text-to-speech, keeping the speaker icon in "generating" state until audio is ready for playback.
• Model Capability Feature Binding: Fixed model capabilities in Agent, Workflow, and Cluster not properly linking to application features.
• Workflow Loop Node Termination Condition: Fixed loop node "missing right field" error when setting non-empty termination conditions.
• MCP Market Service Count Reset: Fixed sidebar "ModelScope MCP" showing 9295 available services on first click, then 0 on subsequent clicks.
• Dashboard App Count with Shared Apps: The dashboard_data endpoint now correctly includes shared applications in the total app count.
• Agent Web Search Recursion Limit: Fixed Agent web search triggering "Recursion limit of 9 reached without hitting a stop condition."
• RAG Workspace Workflow Memory Write: Fixed workflows in RAG workspaces unable to write to the memory store.
• Tool Market Logo Mismatch: Fixed incorrect tool vendor logos in the tool market configuration view.
• TTS Streaming Failure on Long Text: Fixed text-to-speech streaming failure when conversation text exceeded length thresholds.
• Shared App Conversation Summary: Fixed shared app conversations with openers always displaying "New conversation" as the sidebar summary.
• Perceptual Memory Text Preview: Fixed preview and download issues for text-based perceptual memory entries.
• MCP Market Unauthorized Error: Fixed mcp_market_configs/operational_mcp_servers endpoint returning 401 Unauthorized.
• Legacy RAG Workspace Agent Issues: Fixed Agent conversation anomalies in legacy RAG workspaces.
• Shared App Experience Issues: Fixed historical conversation TTS playback and conversation parameter passing in shared app experiences.

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🧭 Looking Ahead

By deepening multimodal memory persistence, introducing community-based episodic retrieval, and expanding application observability through logging, this release solidifies the cognitive foundation that MemoryBear is built upon — perception, refinement, association, and forgetting working in concert.

The introduction of community search in episodic memory retrieval marks a qualitative leap in how MemoryBear surfaces knowledge. With three distinct retrieval depths — from quick summaries to graph-expanded implicit evidence — the platform now offers a retrieval experience that mirrors human cognitive recall: fast intuition for simple queries, structured reasoning for complex ones.

v0.3.0 will mark MemoryBear's official product launch event, bringing together all the capabilities refined across the 0.2.x series into a cohesive, production-ready platform. We look forward to unveiling the full vision of MemoryBear as the cognitive memory layer for AI applications at the launch conference.

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MemoryBear v0.2.9 社区版 发布说明 —— 听风知意

发布日期： 2026年3月31日 ｜ 版本代号： 听风（TingFeng · Listening to the Wind）

MemoryBear v0.2.9 社区版在应用能力和记忆智能方面带来深度升级。本版本引入应用日志、基于社区检索的情景记忆增强、多模态记忆持久化至 Neo4j 以及用户别名管理——在 v0.3.0 发布会前夕，以更精细的可观测性和更丰富的认知召回能力，为平台正式亮相做好准备。

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🚀 一、核心升级概览

1. 应用框架

• 模型-特性绑定：模型选择现与应用特性（如文件上传类型）绑定，确保每项能力仅可选择兼容的模型。
• 应用日志（消息记录）：新增应用日志系统，完整记录 Agent、工作流和 Agent 集群的交互消息。共享者可查看体验分享日志和 API Key 调用日志（使用自身 Key）；被共享者可查看 API Key 调用日志（使用自身 Key）。
• 应用特性——对话开场白与文档引用：应用现支持配置对话开场白和回复中的文档引用，丰富用户交互体验。
• API Key 搜索：新增通过 API Key 搜索应用的功能，便于快速查找和管理 Key 与应用的关联关系。
• Agent 记忆默认设置：Agent 现默认开启"对话历史记忆"。通过体验分享后默认开启"记忆功能"且可关闭——但前提是已开启"对话历史记忆"；否则分享页面不提供记忆功能。
• 应用复制修复：修复了复制应用后修改内容时，前端错误传递原应用 app_id 而非复制后应用 app_id 的问题。

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2. 工作流增强 🔧

• 文档提取节点：新增工作流文档提取节点，支持从文档中提取结构化内容，实现文档驱动的自动化流水线。
• 回复节点输出可续接：回复节点的输出现可连接后续节点，支持回复后的处理和分支逻辑。
• 工作流记忆写入支持文件变量：工作流记忆写入节点现支持配置文件类型变量 sys.files，使多模态内容能够持久化至 Neo4j。
• 条件分支空格问题修复：修复了条件分支节点在条件包含空格或换行符时执行失败的问题。

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3. 记忆智能 🧠

• 多模态记忆写入 Neo4j：多模态记忆（语音、图片、视频）现可持久化至 Neo4j。记忆配置支持额外添加语音、图片和视频模型选择及开关。本版本仅支持工作流的多模态记忆写入，Agent 支持将在下个版本实现。感知记忆必须与多模态模型和记忆节点关联才能写入。Neo4j 存储新增感知记忆节点类型，与 Chunk 节点关联。记忆引擎配置新增按能力筛选模型——视觉、音频、视频——需选择具备对应能力的模型。
• 情景记忆检索增加社区检索：情景记忆检索现包含基于社区的搜索结果，支持三种检索模式：快速回复返回 summaries（社区摘要）；正常回复返回 summaries + communities（主题结构）+ statements（原子事实/证据）；深度思考返回 summaries + communities + statements + 扩展 statements（图扩展补全的隐含证据）。
• 用户姓名别名管理：Agent 对话中出现的用户姓名/别名信息现会被提取并展示在"核心档案"中。在核心档案中编辑保存别名后，同步至 end_user_info 表的 other_name 字段。支持多个别名，按时间先后提取优先级排序。别名数据可通过 API 调取。
• 社区节点摘要丰富化：社区节点摘要现包含 entity_name（实体名称）、entity_description（实体描述）和 Statement.statement 内容，提供更全面的社区级上下文。
• 试运行进度回调：在试运行（pilot run）模式下，知识抽取完成时发送进度回调事件，负载中包含语句总数和分块总数。
• 知识抽取完成事件：knowledge_extraction_result（知识抽取阶段）结束后，现会发出 knowledge_extraction_complete 事件，为下游消费者提供清晰的生命周期信号。
• 记忆缓存系统：新增记忆系统相关缓存功能，提升检索性能并减少冗余计算。
• 语义剪枝优化：修复了记忆萃取过程中语义剪枝错误删除情绪和兴趣爱好数据的问题。优化了多种本体场景下的剪枝行为，使结果更具差异化。
• 遗忘周期任务修复：修复了定时任务 run_forgetting_cycle_task 在遗忘周期执行中失败的问题。
• 记忆配置 ID 类型修复：修复了应用使用 int 类型 config_id 导致无法使用所选记忆配置、回退至空间默认配置的问题。
• 记忆写入问题修复：修复了结构化输出失败的问题，并修正了聚类在记忆写入前的执行顺序。
• 用户记忆配置版本修复：修复了用户记忆配置未正确对应发布版本 config 记录的问题。

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4. 模型管理 🤖

• 火山引擎模型供应商：新增火山引擎（Volcengine）作为模型供应商，扩展可用的 LLM 后端范围。
• 自定义模型能力声明：自定义模型现支持声明全模态、视觉、音频和视频能力，实现精确的模型-特性匹配。
• API Key 掩码处理：模型列表接口返回的 API Key 现进行掩码处理，仅显示前后 4 位，中间以 **** 替代，提升安全性。

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5. 用户与平台 👥

• 用户名取消唯一约束：用户名不再要求唯一——仅邮箱需保持唯一，简化用户注册和管理流程。
• 前端 UI 验证：对应用页面进行全面的前端 UI 验证（页面清单待前端团队提供）。

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6. 稳健性与缺陷修复 🔧

• 远程文件支持文档类型：多模态远程文件现支持文档类型，不再局限于媒体文件。
• 文件元数据存放位置：修复了 meta_data 中文件引用在 files 和 files[] 格式间不一致的问题。
• 文本转语音状态反馈：后端现提供文本转语音的生成状态，在音频就绪前保持播放图标为"生成中"状态。
• 模型能力与应用特性关联：修复了 Agent、工作流、集群中模型能力未正确关联应用特性的问题。
• 工作流循环节点终止条件：修复了循环节点设置非空终止条件时报"缺少 right 字段"错误的问题。
• MCP 市场服务数量重置：修复了侧边栏点击"魔搭社区 MCP"首次显示 9295 个可用服务、再次点击显示 0 的问题。
• 仪表盘应用数量含共享应用：dashboard_data 接口现正确将共享应用计入总应用数量。
• Agent 联网搜索递归限制：修复了 Agent 开启联网搜索后触发"Recursion limit of 9 reached"的问题。
• RAG 空间工作流记忆写入：修复了 RAG 空间中工作流无法写入记忆库的问题。
• 工具市场 Logo 错误：修复了工具市场点击"配置"后工具厂商 Logo 显示错误的问题。
• 长文本 TTS 流式生成失败：修复了对话文本过长导致文本转语音流式生成失败的问题。
• 分享应用对话摘要：修复了有开场白的分享应用对话，侧边栏摘要始终显示"New conversation"的问题。
• 感知记忆文本预览：修复了记忆库中文本感知记忆的预览和下载问题。
• MCP 市场未授权错误：修复了 mcp_market_configs/operational_mcp_servers 接口返回 401 Unauthorized 的问题。
• 老 RAG 空间 Agent 异常：修复了老 RAG 空间中 Agent 对话异常的问题。
• 分享应用体验问题：修复了分享应用中历史对话的文本转语音播放和 conversation 参数传递问题。

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🧭 未来展望

通过深化多模态记忆持久化、引入基于社区的情景检索、以及通过日志系统扩展应用可观测性，本版本夯实了 MemoryBear 赖以构建的认知基础——感知、萃取、关联与遗忘协同运作。

情景记忆检索中社区搜索的引入，标志着 MemoryBear 知识浮现方式的质变。从快速摘要到图扩展的隐含证据，三种检索深度为平台带来了类人认知召回的体验：简单查询靠直觉速达，复杂问题凭结构推理。

v0.3.0 将是 MemoryBear 的发布会，汇聚 0.2.x 系列中打磨的所有能力，呈现一个完整的、生产就绪的平台。届时我们将在发布会上全面展示 MemoryBear 作为 AI 应用认知记忆层的完整愿景。

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This discussion was created from the release MemoryBear v0.2.9 Community Release Notes — Listening to the Wind.