fix(skills): Skills eliminate workspace isolation
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@@ -9,7 +9,7 @@
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"2. 系统架构 ⚙️<br>* 反思任务调度器:新增 worker-periodic 容器<br>* 模型配置降级:记忆管理正确降级使用空间模型",
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"3. 问题修复 🔧<br>* 工作流分享:修复多轮对话产生多个conversation<br>* 流式输出:修复chat结尾缺少end标记<br>* 实体详情:移除未知类型记忆<br>* 提示词模板路径:修复jinja2路径解析错误<br>* 知识库字段:strategy更名为retrieve_type<br>* 空间头像:优化频繁调用模型接口<br>* 记忆仪表盘:修复end_users接口无返回",
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"<br>",
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"v0.2.3 将继续完善工作流代码执行功能,并推出本体工程+记忆配置入口。",
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"v0.2.4 将继续完善工作流代码执行功能,并推出本体工程+记忆配置入口。",
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"记忆熊,记得更牢,用得更好。🐻✨"
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]
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},
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@@ -22,7 +22,7 @@
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"2. System Architecture ⚙️<br>* Reflection Task Worker: Added worker-periodic container for scheduled tasks<br>* Model Configuration Fallback: Memory management properly falls back to workspace model",
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"3. Bug Fixes 🔧<br>* Workflow Sharing: Fixed multiple conversations created during multi-turn dialogues<br>* Streaming Output: Resolved missing end marker in chat streaming<br>* Entity Details: Removed unknown type memories from All view<br>* Prompt Template Paths: Fixed jinja2 path resolution errors<br>* Knowledge Base Schema: Renamed strategy to retrieve_type<br>* Workspace Avatar: Optimized frequent model API calls<br>* Memory Dashboard: Fixed end_users endpoint empty responses",
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"<br>",
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"v0.2.3 will continue with workflow code execution enhancements and the ontology engineering + memory configuration portal.",
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"v0.2.4 will continue with workflow code execution enhancements and the ontology engineering + memory configuration portal.",
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"MemoryBear — remember better, work smarter. 🐻✨"
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]
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}
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