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Mopheus Platform

企业 AI 智能体组织的超级管家。在一个可见的操作面上协调工单、智能体与技能。The command center for your enterprise AI agent organization. Coordinate tickets, agents, and skills in one visible operating surface.

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Mopheus 企业级 AI 智能体管理平台Mopheus Enterprise AI Agent Management Platform

Mopheus 不止是 AI 对话工具,它是面向「智能化办公场景」原生构建的 AI 智能体平台,赋能企业打造智能协同、全域治理、自主可控、持续进化的企业级 AI 底座,助力千行百业实现数智化转型。让企业中的人、组织、流程、业务与 AI 智能体在同一界面协同运转。Mopheus is more than an AI chat tool — it is an AI agent platform natively built for the intelligent office. It empowers enterprises to construct an enterprise-grade AI foundation that is collaboratively intelligent, holistically governed, autonomously controlled, and continuously evolving, accelerating digital and intelligent transformation across every industry. People, organisations, processes, and business run in lockstep with AI agents on a single pane.

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亮点特性Highlights

让 Agent 像员工一样被管理的平台A platform where agents are managed like employees

01

工单组织协同Ticket-Based Team Collaboration

面向人机协作重新设计的组织化协作空间An organizational collaboration space redesigned for human-AI teamwork

  • 一体化协作空间Integrated collaboration space

    Mopheus 工单是一体化协作空间,多 Agent 共享提示词、资料与业务上下文,依托统一事件时间线联合开展业务作业。Mopheus Tickets are an integrated workspace where multiple agents share prompts, materials, and business context — working together on a unified event timeline.

  • Workspace-Team 两级编排Workspace-Team orchestration

    人类只需对接团队 leader 智能体,由其拆解分派任务;执行中可随时介入管控。Humans interface only with the team-leader agent, which decomposes and dispatches tasks; teams can intervene in execution at any time.

02

企业级安全Enterprise-Grade Security

本地化部署,五重安全能力全程可控可审On-premises deployment with five layers of security — fully controllable and auditable

  • 本地化机房部署On-premises deployment

    模型、智能体、工作痕迹、业务数据不出企业内网,信息安全自主可控。Models, agents, work traces, and business data stay within the enterprise intranet — absolute data sovereignty.

  • 人机分域授权Separated human-AI privileges

    完整人员权限管控 + Agent 独立访问权限配置;实时审计模型思考链路、工具调用与执行命令。Full personnel permission control with independent agent access scopes; real-time audit of model reasoning, tool calls, and executed commands.

  • 风险熔断与 SwissQL 网关Circuit breaker & SwissQL gateway

    内置异常熔断处理超时、异常 Token 消耗;SwissQL CLI 提供数据库加密纳管与高危命令拦截。Built-in circuit breaker handles timeouts and abnormal token consumption; SwissQL CLI delivers encrypted database governance and high-risk command interception.

03

AI 中枢AI Hub

无需大规模改造,即可接入中枢获得 AI 能力Access AI capabilities through a hub — without large-scale rework

  • 串联存量异构资产Connect existing heterogeneous assets

    通过丰富标准接口对接监控平台、知识库、ITSM、CI/CD、JIRA 等系统,汇聚多源资产,搭建企业内部 AI 数字神经网络。Rich standard interfaces connect to monitoring, knowledge bases, ITSM, CI/CD, JIRA and more — aggregating multi-source assets into an enterprise-wide AI digital nervous system.

  • 平台即 AI 命令行Platform as AI CLI

    Mopheus 原生 AI 架构使平台自身可作为 AI 命令行工具,不打断业务原有入口与习惯,输出底座级智能能力。Mopheus's native AI architecture lets the platform itself act as an AI command-line tool, preserving existing user entry points and delivering foundation-level intelligence.

04

自我进化Self-Evolution

多维度持续增强,越用越聪明Continuous multi-dimensional enhancement — the smarter, the more you use it

  • 组织经验本地进化Local evolution of organizational experience

    梦境蒸馏把完结工单总结为六类属性组织记忆,可控可维护规避记忆污染,企业内持续复利累积。Dream distillation turns completed tickets into six categories of organizational memory — controllable, maintainable, and designed to prevent memory pollution — compounding enterprise intelligence over time.

  • 平台组件独立进化Independent platform component evolution

    大模型、Agent、CLI、Skill、知识库均可独立在线迭代,AI 技术迭代即等于平台能力进化。Large models, agents, CLIs, skills, and knowledge bases can each be iterated online — AI iteration equals platform capability evolution.

  • 数据驱动进化Data-driven evolution

    从组织维度掌握数字团队运行实况,让 AI 提效不再黑箱化,ROI 清晰可量化。Real-time organizational visibility into digital team operations — turning AI efficiency from a black box into clear, quantifiable ROI.

产品架构Architecture

端到端的智能体运行链路The end-to-end agent runtime path

platform · schedule · execution · resource

平台层平台层
// workspace// workspace工作区 WorkspaceWorkspace
不同业务租户独立空间Isolated per business tenant
// cron// cron自动任务 · Webhook 调度 · 熔断机制Automated tasks · Webhook scheduling · circuit breaker
接口 · MCP · APIInterfaces · MCP · API
// 蒸馏// distill梦境蒸馏Dream Distillation
团队智能越用越聪明Team intelligence keeps growing
// codegraph// codegraph代码知识库 CodeGraphCodeGraph
代码即索引Code as index
// docs// docs设计文档库Design Docs
需求 · 架构 · ADRRequirements · Architecture · ADR
隔离派发Isolate上下文注入Inject
调度层调度层
// ticket// ticket运维工单 TicketOps Ticket
最小工作单位Smallest work unit
// team// human-ai team人机混合团队Human-AI Team
队长 = 智能体Leader = Agent
// issue// dev issue研发工单 IssueDev Issue
需求 · 缺陷 · 任务Requirements · Bugs · Tasks
派发执行Dispatch编码任务Coding
执行层执行层
// ops-agent// ops-agent运维 Agent TeamOps Agent Team
SwissQL · CLI 管控执行器SwissQL · CLI-managed executor
// runtime// agnt runtime多模型 RuntimeMulti-model Runtime
Claude · Codex · Kimi · Pi 等守护进程Claude · Codex · Kimi · Pi daemon processes
// code-agent// code-agent自主编码 AgentAutonomous Coding Agent
TDD 实现 · 自动单测生成TDD execution · Test synthesis
// review-agent// review-agent评审 AgentReview Agent
PR Review · 静态分析PR Review · static analysis
读写数据Data提交代码Commit
资源层资源层
// database// database数据库Database
PG · Oracle · MySQL · OceanBase · YashanDB 等PG · Oracle · MySQL · OceanBase · YashanDB and more
// os// os操作系统OS
进程 · 磁盘 · 日志Process · Disk · Logs
// repo// repo代码仓库Code Repo
GitLab · GitHubGitLab · GitHub
// artifact// artifact制品库 / 测试环境Artifact repos / test environments
Docker · 沙箱 · 预发Docker · Sandbox · Staging
主流程Main flow
应用场景Use cases

从技术部门到业务部门的全链路智能化Intelligence across the whole chain, from engineering to business

Mopheus 已在企业研发、运维、运营、知识管理等多类场景落地,覆盖从技术部门到业务部门的全链路智能化。Mopheus is already deployed across engineering, operations, business operations, and knowledge management — from technical teams through to the business side.

  • AI 智能运维AI-driven operations

    面向 DBA、SRE、运维工程师,覆盖故障排查、变更执行、SQL 审核、性能优化、巡检告警、备份恢复等全场景。Agent 7×24 接管重复性运维工作,工程师聚焦于架构与稳定性治理。For DBAs, SREs, and operations engineers: troubleshooting, change execution, SQL review, performance tuning, inspection and alerting, backup and recovery. Agents cover the repetitive work around the clock while engineers focus on architecture and stability.

  • AI 智能研发AI-driven engineering

    覆盖代码生成、Code Review、单元测试、缺陷修复、需求拆解、文档撰写等环节。Agent 嵌入 IDE 与研发协作流,工程师从「写代码」转向「审代码、定规范、做决策」。Code generation, review, unit tests, bug fixes, requirement breakdown, and documentation. Agents sit inside the IDE and the delivery flow, moving engineers from writing code to reviewing it, setting standards, and making calls.

  • AI 智能数据分析AI-driven data analysis

    业务人员通过自然语言即可完成数据查询、报表生成、归因分析与可视化呈现,降低数据消费门槛,让一线业务具备自助式数据洞察能力。Business users run queries, build reports, attribute results, and visualise findings in plain language — self-service insight without a data team in the loop.

  • AI 智能办公协同AI workplace collaboration

    对接企业 OA、IM、邮件、文档系统,Agent 自动处理会议纪要、工单分派、日程协调、知识检索等日常事务,把员工从低价值流程中解放。Connected to OA, IM, mail, and document systems, agents handle meeting notes, ticket routing, scheduling, and knowledge lookup, taking low-value process work off people's desks.

  • AI 智能客服与营销AI-powered service & marketing

    基于企业私域知识库构建专属客服与营销 Agent,统一对外服务口径,实现 7×24 小时高一致性的客户接待与商机跟进。Service and marketing agents built on your own knowledge base keep the external message consistent, handling customers and following up on leads around the clock.

  • AI 智能知识管理AI-powered knowledge management

    打通企业散落在 Wiki、文档、对话、邮件中的知识资产,Agent 自动归集、提炼、入库,并在员工需要时精准召回,让组织经验真正流转起来。Knowledge scattered across wikis, documents, conversations, and mail is collected, distilled, and stored automatically, then recalled precisely when someone needs it.

客户价值Customer value

四大核心收益Four core outcomes

  • 效率提升Efficiency

    重复性事务处理效率提升 5–10 倍,关键变更操作周期从「天级」压缩到「分钟级」。Repetitive work runs 5–10× faster; critical change windows shrink from days to minutes.

  • 成本下降Cost

    单次高风险操作的专家依赖度降低 70% 以上,跨部门协作与审计成本显著下降。Expert dependency on a single high-risk operation drops by more than 70%, and cross-team coordination and audit costs fall with it.

  • 安全可控Security & control

    100% Agent 操作可溯、可审、可阻断,满足等保与信创合规要求。Every agent action is traceable, auditable, and interceptable, meeting MLPS and XinChuang (Information Technology Application Innovation) compliance requirements.

  • 能力沉淀Institutional knowledge

    组织经验以「记忆」形式永久留存,人员流动不带走核心 know-how。Experience persists as organisational memory, so know-how does not walk out with staff turnover.

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