MemoryBear v0.3.2 Community Release Notes — Sharpening the Blade

[keeees]

MemoryBear v0.3.2 Community Release Notes — Sharpening the Blade

Release Date: April 29, 2026 | Codename: LingFeng (凌锋 · Edge of the Summit Wind)

MemoryBear v0.3.2 builds upon the foundation of v0.3.1 with a sweeping set of improvements across memory intelligence, application workflows, platform management, and frontend stability. This release sharpens the platform's core capabilities — from paginated explicit memory queries and optimized retrieval paths, to deep workflow observability, SaaS multi-workspace management, and SSO integration. With over 35 items spanning new features, UX refinements, and critical bug fixes, v0.3.2 represents a significant step toward production-grade resilience and developer ergonomics.

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🚀 I. Core Upgrade Overview

1. Memory Intelligence 🧠

• Explicit Memory Pagination & Query Filters: The explicit memory API now supports full pagination along with query conditions including time range and important event filtering, enabling efficient browsing and targeted retrieval of large memory stores.
• Memory Store Detail API (Batch): A new batch-capable memory store detail API allows retrieving detailed information for multiple memory stores in a single request, reducing round-trips and improving dashboard responsiveness.
• Memory Retrieval Path Optimization: The memory retrieval pipeline has been restructured and optimized to deliver more relevant and accurate results. This change touches the core search path and requires thorough testing to validate improvements across diverse query patterns.
• User-Level Fair Scheduling: Memory processing tasks are now distributed using a user-level fair scheduling algorithm, ensuring equitable resource allocation across tenants and preventing any single user from monopolizing background processing capacity.

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2. Workflow & Application Engine ⚙️

• Agent Context Coherence Fix: Resolved a critical issue where the Agent would exhibit context confusion — reading prior messages incorrectly and generating incoherent responses. Conversation state management has been tightened to maintain strict turn-by-turn coherence.
• Workflow Trial Run Node Flow Visualization: During workflow trial runs, the UI now displays real-time node transition flow, making it easy to observe which nodes are executing and in what order.
• Per-Node Workflow Logging: Application logs now include granular per-node log entries for workflow executions, showing the flow of data through each node in the pipeline.
• Log Content Search & Filtering: Application log viewing now supports full-text content search and filtering, allowing developers to quickly locate specific events or errors within large log volumes.
• HTTP Request Node cURL Display: HTTP request nodes in workflows now display the exact cURL command being sent, providing full transparency into outbound API calls for debugging and auditing.
• Third-Party Workflow Import Variable Adaptation: When importing third-party workflows, HTTP request node body JSON now correctly adapts session variables, ensuring seamless integration without manual variable remapping.
• URL-Based Model Input Support: Models are no longer restricted to sys.files for document input — direct URL passing is now supported, enabling reading of document content from URLs. Supports docx and pdf formats. The workflow document extractor can identify image positions within documents and process them into file objects with placeholder formatting like [图片 第2页 第1张]: http://..., with an added images file object output.
• Workflow Import with END Node Output: Workflow import now fully supports the workflow type including END node output configuration, enabling complete round-trip import/export of complex workflow definitions.
• Knowledge Base Citation Download: When conversations involve knowledge base retrieval, referenced documents can now be downloaded directly. This feature can be toggled on/off per application.
• Workflow Undo/Redo Support: Added undo and redo functionality for workflow editing, supporting Ctrl+Z keyboard shortcuts and providing UI buttons for reverting accidental changes.
• Skill Keyword Made Optional: The keyword field for skills has been changed from required to optional, reducing friction when creating skills that don't need keyword-based triggering.
• Tool Schema Body Parameter Support: Tool creation schemas now properly support Body parameters in addition to Params, resolving input length limitations encountered in scenarios like markdown-to-word conversion.

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3. Platform & SaaS Management 🏢

• SaaS Admin Multi-Workspace Switching: The SaaS management console now supports account-level multi-workspace switching, allowing administrators to manage multiple workspaces without logging out and back in.
• SSO Application Configuration API: A new SSO endpoint accepts an app_id and returns the full DSL configuration content for the application, enabling external systems to retrieve app definitions programmatically.
• SSO Tenant Deletion: Added tenant deletion capability through the SSO interface, enabling clean removal of tenant resources from the platform.

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4. Frontend & User Experience 🎨

• Streaming Output Abort Support: Frontend streaming output now supports request termination, allowing users to stop long-running LLM responses mid-stream.
• Prompt Generation Flicker Fix: Resolved the flickering issue during Agent prompt generation and shared conversations caused by frequent page redraws during LLM streaming output. The rendering pipeline has been stabilized to eliminate visual jitter.
• Model Management Tab State Fix: Fixed an issue where rapidly switching tabs in the model management page would cause the active tab indicator to disappear or display incorrectly.
• Configuration Checklist Reactivity Fix: Clearing configuration items now immediately triggers checklist validation updates, rather than requiring a manual refresh.
• Model List Tag Display Fix: Fixed truncated tag display in the model list view, ensuring all tags are fully visible.

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5. Security, Permissions & API 🔒

• API Key Creation Gate: Applications that have not been published can no longer have API keys created for them, preventing premature API access to draft applications.
• Deleted Knowledge Base Citation Cleanup: When a knowledge base bound to an agent or workflow is deleted, published versions no longer display stale "citation and attribution" references in experience sharing and API call contexts.
• API Key Creation with Rate Limits: API key creation now includes QPS and daily call limit configuration, enforcing plan-level caps (up to 50 for the current tier).
• Super Admin Workspace Admin Creation Fix: Fixed an error where creating a workspace administrator as a super admin would result in incorrect tool, skill, and model associations.
• Invited User Tenant ID Fix: When inviting a user to a workspace who then registers, their tenant_id is now correctly set to match the inviter's tenant, resolving cascading errors with tool, skill, and model access that resulted from mismatched tenant assignments.

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6. Model & Runtime Resilience 🔧

• Model Group Limit Enforcement Fix: After a model group exceeds its combination limit, individual models in the list can now be properly enabled again, resolving a state lock that previously prevented model activation.
• Deep Thinking Token Overflow Handling: When Agent deep thinking mode produces context that exceeds the maximum token limit (observed with doubao-seed-2-0-mini-260215), the system now handles the overflow gracefully instead of returning a truncated response with no body content.

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🧭 Looking Ahead

MemoryBear v0.3.2 marks a pivotal moment in the platform's journey toward production-grade maturity. The breadth of this release — spanning memory retrieval optimization, workflow observability, fair scheduling, and deep bug fixes — reflects a system that is being battle-tested in real-world deployments and refined based on concrete operational feedback. The focus on resilience, from token overflow handling to tenant isolation fixes, signals a platform that takes reliability as seriously as capability.

The introduction of user-level fair scheduling and optimized memory retrieval paths lays the groundwork for MemoryBear to scale gracefully under multi-tenant production loads. Combined with the new workflow node-level logging and cURL transparency, developers now have unprecedented visibility into what the platform is doing and why — a critical requirement for enterprise adoption and debugging complex AI agent behaviors.

Looking forward, the next releases will deepen workflow orchestration capabilities, expand memory intelligence with more sophisticated retrieval and ranking algorithms, and continue hardening the platform's multi-tenant architecture. Expect further improvements in real-time collaboration features, advanced permission models, and tighter integration with external tool ecosystems.

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MemoryBear v0.3.2 社区版 发布说明 —— 锋从磨砺出

发布日期： 2026年4月29日 ｜ 版本代号： 凌锋（LingFeng · Edge of the Summit Wind）

MemoryBear v0.3.2 在 v0.3.1 的基础上进行了全面升级，涵盖记忆智能、应用工作流、平台管理和前端稳定性等多个维度。本版本磨砺平台核心能力——从显性记忆分页查询与检索路径优化，到深度工作流可观测性、SaaS多空间管理和SSO集成。超过35项功能新增、体验优化和关键缺陷修复，v0.3.2 标志着平台向生产级稳健性和开发者友好性迈出了坚实一步。

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🚀 一、核心升级概览

1. 记忆智能 🧠

• 显性记忆分页与查询条件：显性记忆接口现已支持完整分页功能，并新增时间范围、重要事件等查询条件，支持在大规模记忆库中高效浏览和精准检索。
• 记忆库详情批量API：新增批量记忆库详情API，支持单次请求获取多个记忆库的详细信息，减少网络往返，提升仪表盘响应速度。
• 记忆检索路径优化：对记忆检索管线进行了结构性重构和优化，以提供更相关、更准确的检索结果。此变更涉及核心搜索路径，需充分测试以验证在多样化查询场景下的改进效果。
• 用户级公平调度：记忆处理任务现采用用户级公平调度算法进行分发，确保租户间资源公平分配，防止单一用户独占后台处理能力。

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2. 工作流与应用引擎 ⚙️

• Agent上下文紊乱修复：修复了Agent上下文混乱的严重问题——此前Agent会错误读取历史消息并生成不连贯的回复。会话状态管理已加强，确保严格的逐轮对话一致性。
• 工作流试运行节点流转可视化：工作流试运行期间，界面现可实时展示节点流转过程，便于观察各节点的执行顺序和状态。
• 工作流节点级日志：应用日志现包含工作流执行的逐节点日志条目，展示数据在各节点间的流转详情。
• 日志内容搜索与过滤：应用日志查看现支持全文内容搜索和过滤，开发者可在大量日志中快速定位特定事件或错误。
• HTTP请求节点cURL展示：工作流中的HTTP请求节点现可展示实际发送的cURL命令，为调试和审计提供完整的出站API调用透明度。
• 第三方工作流导入变量适配：导入第三方工作流时，HTTP请求节点body中的JSON会话变量现可正确适配，无需手动重新映射变量即可无缝集成。
• URL直传模型输入支持：模型输入不再局限于sys.files——现支持直接传入URL读取文档内容，兼容docx和pdf格式。工作流文档提取器可识别文档中图片位置并处理为文件对象，以[图片 第2页 第1张]: http://...形式占位，并新增images文件对象输出。
• 工作流导入支持END节点输出：工作流导入现已完整支持workflow类型，包括END节点输出配置，实现复杂工作流定义的完整导入导出。
• 知识库引用文档下载：对话涉及知识库检索时，引用的文档现可直接下载。此功能可在应用级别开启或关闭。
• 工作流撤销/重做支持：新增工作流编辑的撤销和重做功能，支持Ctrl+Z快捷键操作，并提供UI按钮用于回退误操作。
• 技能关键词改为非必填：技能的关键词字段已从必填改为选填，降低创建无需关键词触发的技能时的操作门槛。
• 工具Schema支持Body参数：工具创建的Schema现已正确支持Body参数（不仅限于Params），解决了markdown转word等场景中遇到的输入长度限制问题。

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3. 平台与SaaS管理 🏢

• SaaS管理后台多空间切换：SaaS管理控制台现支持账号级多空间切换，管理员无需退出登录即可管理多个工作空间。
• SSO应用配置API：新增SSO接口，接受app_id参数并返回应用的完整DSL配置内容，支持外部系统以编程方式获取应用定义。
• SSO租户删除功能：通过SSO接口新增租户删除能力，支持从平台中完整清理租户资源。

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4. 前端与用户体验 🎨

• 流式输出终止支持：前端流式输出现支持终止请求，用户可中途停止长时间运行的LLM响应。
• 提示词生成闪烁修复：修复了Agent生成提示词及分享对话时，因LLM流式输出导致页面频繁重绘引起的闪烁抖动问题，渲染管线已优化以消除视觉抖动。
• 模型管理Tab状态修复：修复了在模型管理页面高频切换标签时，当前标签指示器消失或显示异常的问题。
• 配置清单响应性修复：清除配置项后现可立即触发检查清单验证更新，无需手动刷新。
• 模型列表标签显示修复：修复了模型列表中标签显示截断的问题，确保所有标签完整可见。

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5. 安全、权限与API 🔒

• API Key创建门控：未发布的应用不再允许创建API Key，防止对草稿应用的过早API访问。
• 已删除知识库引用清理：当Agent或工作流绑定的知识库被删除后，已发布版本不再在体验分享和API调用中展示过期的"引用和归属"信息。
• API Key创建增加速率限制：API Key创建现包含QPS和日调用量限制配置，执行套餐级别上限（当前层级最高50次）。
• 超级管理员创建空间管理员修复：修复了超级管理员创建空间管理员时，工具、技能、模型等关联关系错误的问题。
• 邀请用户Tenant ID修复：在空间内邀请用户注册后，其tenant_id现已正确设置为与邀请人一致，解决了因租户ID不匹配导致的工具、技能、模型访问等级联错误。

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6. 模型与运行时韧性 🔧

• 模型组合超限启用修复：模型组合超出限制后，列表中的单个模型现可正常重新启用，解决了此前阻止模型激活的状态锁定问题。
• 深度思考Token溢出处理：当Agent深度思考模式产生的上下文超出最大Token限制时（在doubao-seed-2-0-mini-260215上观察到），系统现可优雅处理溢出，而非返回截断的无正文响应。

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🧭 未来展望

MemoryBear v0.3.2 是平台迈向生产级成熟度的关键节点。本版本的广度——横跨记忆检索优化、工作流可观测性、公平调度和深层缺陷修复——体现了一个在真实部署中经受考验、基于实际运营反馈持续打磨的系统。从Token溢出处理到租户隔离修复，对韧性的关注表明平台将可靠性与能力同等重视。

用户级公平调度和优化的记忆检索路径为MemoryBear在多租户生产负载下的优雅扩展奠定了基础。结合全新的工作流节点级日志和cURL透明度，开发者现在对平台的运行状态拥有前所未有的可见性——这是企业级采用和调试复杂AI Agent行为的关键前提。

展望未来，后续版本将深化工作流编排能力，以更精密的检索和排序算法扩展记忆智能，并持续加固平台的多租户架构。敬请期待实时协作功能的进一步完善、高级权限模型的演进，以及与外部工具生态系统更紧密的集成。

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