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🚀 Nexent:开源智能体平台 / Nexent: Open Source Intelligent Agent Platform

我们很高兴地宣布Nexent v2.3.0 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 v2.3.0 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

  • 新增 Agent 评测能力,支持评测集管理、OpenJiuwen 评测接入、历史记录、评测报告和前端评测页面。 / Added agent evaluation with evaluation set management, OpenJiuwen integration, history, reports, and a frontend evaluation page.
  • 增强 Agent 上下文管理,将预算、压缩、摘要、步骤渲染与统计导出模块化,提升长任务和长对话运行能力。 / Enhanced agent context management by modularizing budgeting, compression, summarization, step rendering, and stats export for stronger long-task and long-conversation execution.
  • 新增 Skill 仓库生命周期与管理界面,支持我的 Skill、仓库浏览、审核状态、草稿编辑和安装管理。 / Added skill repository lifecycle and management UI, including My Skills, repository browsing, review status, draft editing, and installation management.
  • 重构 MCP 市场为 Repository、My MCPs、Review Center,并增强搜索筛选、分页、快速添加、标签和详情体验。 / Restructured the MCP marketplace into Repository, My MCPs, and Review Center, with improved search, filtering, pagination, quick add, tags, and detail views.
  • 新增 RAGFlow 搜索工具,并扩展北向知识库的索引分块查询与混合检索接口。 / Added a RAGFlow search tool and expanded northbound knowledge APIs with index chunk listing and hybrid search.
  • 支持 runtime、config、northbound 和 web 多副本运行,增强运行态状态存储、流式通道和幂等控制能力。 / Added multi-replica support for runtime, config, northbound, and web services, with stronger runtime state storage, streaming channels, and idempotency controls.
  • 优化 Agent 资产仓库,移除固定分类限制并支持自定义 emoji 图标,让 Agent 展示与管理更灵活。 / Improved the agent repository by removing fixed category constraints and supporting custom emoji icons for more flexible agent presentation and management.
  • 增强 OAuth 登录配置,支持登录模式控制和单一提供方强制跳转能力。 / Enhanced OAuth login configuration with login mode control and forced redirect support for single-provider setups.
  • 改进 Skill 执行能力,支持使用相对路径直接读取文件,降低脚本和工具调用的配置成本。 / Improved skill execution by allowing direct file reads with relative paths, reducing setup overhead for scripts and tool calls.

Bug 修复 / Bug Fixes

  • 修复 MCP 空间的 API 与前端问题,并移除 MCP 展示中的版本号干扰。 / Fixed MCP space API and frontend issues, and removed distracting MCP version display.
  • 修复 Skill 选择状态持久化、删除已选 Skill 后计数异常、重复国际化 key、动作文案和摘要展示问题。 / Fixed skill selection persistence, selected-skill count after deletion, duplicate locale keys, action wording, and summary display issues.
  • 修复认证与登录流程问题,包括 Supabase token 刷新边界和 JWT 过期校验。 / Fixed authentication flows including Supabase token refresh boundaries and JWT expiry checks.
  • 修复 Agent 运行稳定性问题,包括内置工具上下文、模型删除后的运行提示、memory 配置为空时的保护和工具调试异常。 / Improved agent runtime stability for built-in tool context, deleted model notifications, null memory config guards, and tool debugging failures.

文档与部署变化 / Docs & Deployment Changes

  • 优化 Docker、Kubernetes、离线包和镜像构建流程,支持镜像仓库前缀、离线镜像加载/推送、no-cache 构建和部署清理。 / Improved Docker, Kubernetes, offline package, and image build flows with registry prefix support, offline image load/push scripts, no-cache builds, and deployment cleanup.
  • 新增 v2.3.0 数据库迁移并更新部署文档,覆盖 Agent 评测、Skill 仓库、MCP 市场、会话 Agent 关联、菜单权限和 Kubernetes 多副本设计。 / Added v2.3.0 database migrations and deployment docs covering agent evaluation, skill repository, MCP marketplace, conversation-agent links, menu permissions, and Kubernetes multi-replica design.

What's Changed

New Contributors

Full Changelog: https://github.com/ModelEngine-Group/nexent/compare/v2.2.3...v2.3.0

Source: README.md, updated 2026-07-16