Nexent

From the release notes

🚀 Nexent：开源智能体平台 / Nexent: Open Source Intelligent Agent Platform 我们很高兴地宣布Nexent v2.6.0 正式发布！🎉 Nexent 是一个开源智能体平台，能够将流程的自然语言转化为完整的多模态智能体 —— 无需编排，无需复杂拖拉拽。基于 MCP 工具生态，Nexent 提供强大的模型集成、数据处理、知识库管理、零代码智能体开发能力。我们的目标很简单：将数据、模型和工具整合到一个智能中心中，使日常工作流程更智能、更互联。 We are excited to announce that Nexent v2.6.0 is released! 🎉 Nexent is an open-source agent platform that turns process-level natural language into complete multimodal agents — no diagrams, no wiring. Built on the MCP tool ecosystem, Nexent provides model integration, data processing, knowledge-base management, and zero-code agent development. Our goal is simple: to bring data, models, and tools together in one smart hub, making daily workflows smarter and more connected. 新功能 / New Features 重构模型管理页面：统一模型编辑对话框，新增模型容量自动推荐（内置 LiteLLM 模型目录、离线可用）、自定义参数校验与推理参数配置。 / Revamped the model management page: unified model edit dialog, automatic model capacity suggestions (bundled LiteLLM catalog, works offline), custom parameter validation, and inference parameter configuration. 新增完整会话线程（Thread）管理能力，覆盖创建、切换与并发控制，并配套遥测指标。 / Added full conversation thread management, covering creation, switching, and concurrency control, with telemetry support. 上线外部记忆体系：智能体可在最终回答后自动提取记忆，支持外部记忆提供方检索（top_k、超时可配置），并提供 AIDP Memory 插件与插件热加载。 / Introduced the external memory system: agents automatically extract memories after final answers, with configurable external provider search (top_k, timeout), an AIDP Memory plugin, and hot-reloadable plugins. 优化 Agent 创建体验：NL2Agent 生成流程与落地卡片打磨，新增 NL2Agent 优化建议，提示词同步升级。 / Improved the agent creation experience: polished NL2Agent generation flow and landing cards, with new NL2Agent optimization suggestions and upgraded prompts. 检索引用交互升级：回答中的引用支持统一悬浮卡片与点击定位高亮。 / Upgraded retrieval citations: references in answers now support unified hover cards with click-to-focus highlighting. 重构统一标签（Label）系统，支持标签库权限、资源打标与筛选，并为多版本 Agent 提供协作版本标签。 / Refactored the unified label system with tag library permissions, resource tagging, and filtering, plus collaborative version labels for multi-version agents. 支持模型优先级排序，可按优先级为智能体选择模型。 / Added model priority sorting so agents can select models by priority. 沙箱适配 Anthropic Skills，可直接运行 Anthropic 技能格式。 / Adapted the sandbox to run Anthropic skills natively. S3 上传/下载工具支持用户自定义配置。 / The upload_to_s3 and download_from_s3 tools now support user configuration. 日志支持落盘为文件，便于排查与归档；服务启动时自动恢复中断的后台任务。 / Logs are now written to disk as files for easier troubleshooting, and interrupted background tasks are automatically recovered on service startup. Bug 修复 / Bug Fixes 完成上下文预算契约迁移，增加有界压缩与真实溢出恢复，长对话不再丢失上下文。 / Completed the context budget contract migration with bounded compaction and real overflow recovery, preventing context loss in long conversations. 修复会话链路多处问题：返回后恢复会话、线程切换保留智能体、会话标题使用会话模型生成、正确渲染执行代码与对比模式下的历史保留。 / Fixed several conversation-flow issues: conversation restore after returning, agent retention across thread switches, session-model-based title generation, correc