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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 v2.2.0 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 v2.2.0 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

  • 新增或增强了 Agent 生成模板管理、A2A 相关协作能力、Vision-Language 识别与音频理解工具。 / Added or improved agent generation template management, A2A collaboration capabilities, and vision-language plus audio understanding tools.
  • 支持用户配置模型并发限制和超时时间,提升推理资源控制能力。 / Added user-configurable model concurrency limits and timeout settings to improve inference resource control.
  • 增强上下文管理,并为 Agent 上下文模块增加基准测试。 / Improved context management and added benchmarks for the agent context module.
  • 新增技能、MCP 服务、自定义 header、工具执行日志等平台扩展能力。 / Added platform extensibility for skills, MCP services, custom headers, and tool execution logging.
  • 新增资源权限与角色相关能力,例如 ASSET_OWNER 角色与资源可见性控制。 / Added resource access features such as the ASSET_OWNER role and resource visibility enforcement.
  • 扩展多模态与文档能力,包括 office/PDF 图片抽取与检索、TTS 语音模型支持等。 / Expanded multimodal and document capabilities, including image extraction/retrieval for office/PDF files and TTS model support.

Bug 修复 / Bug Fixes

  • 修复外部协作 Agent 保存、权限控制、模型添加、Agent Prompt 生成等问题。 / Fixed external collaboration agent saving, permission control, model addition, and agent prompt generation issues.
  • 修复 MCP 集成相关问题,包括代理环境变量干扰与工具调用异常。 / Fixed MCP integration issues, including proxy environment variable interference and tool call failures.
  • 修复知识库与会话历史相关问题,例如记录缺少 embedding_model_id、会话历史未正确保存。 / Fixed knowledge base and conversation history issues, such as missing embedding_model_id and incorrect history persistence.
  • 修复调试模式中错误信息不充分、模型输出历史未包含、iData 工具调用失败等问题。 / Fixed insufficient error details in debug mode, missing model output history, and iData tool call failures.
  • 修复登录/注册、技能/工具按钮状态、无网络场景下 VLM 添加、图片预览旋转等体验问题。 / Fixed UX issues around login/register flows, skill/tool button states, VLM addition without network access, and image preview rotation.
  • 修复部署持久化、Docker SQL 重复、监控环境变量同步等问题。 / Fixed deployment persistence, Docker SQL duplication, and monitoring environment variable sync issues.

文档与部署变化 / Docs & Deployment Changes

  • 新增 SQL tools 文档、MCP 服务 API 文档,并更新 skill 相关说明。 / Added SQL tools documentation, MCP service API documentation, and updated skill-related docs.
  • 增加离线部署包构建流程,并优化部署脚本与 Helm 指南。 / Added offline deployment package build flow and improved deployment scripts and Helm guidance.
  • 增加引导用户 star 仓库的文案与文档提示。 / Added prompts and documentation nudges encouraging users to star the repository.

What's Changed

New Contributors

Full Changelog: https://github.com/ModelEngine-Group/nexent/compare/v2.1.1...v2.2.0

Source: README.md, updated 2026-06-03