AI Agent Infra with DB · v5.0.4

川序ChuanxuAI Agent 管理平台AI Agent Management Platform

让人和 Agent 协作有序、可信People and Agents, working with trust and order

基于数据库的 AI Agent 管理平台。统一身份、任务、记忆、知识与审计,让多 Agent 在明确的权限边界内持续协作。A database-native AI Agent management platform. Bring identity, tasks, memory, knowledge and audit together so multiple Agents can work within clear authorization boundaries.

Oracle · PostgreSQL · YashanDBDB4A2A
继续了解川序Explore Chuanxu
产品结果Product Outcomes

可观测、可调度、可运维Observable, Schedulable, Operable

以数据库中的权威状态为基础,把分散 Agent 转化为可查询、可授权、可恢复、可审计的企业资产。Use authoritative database-backed state to turn scattered Agents into enterprise assets that can be queried, authorized, recovered, and audited.

可观测OBSERVE

统一看见See the Estate

查看组织、人员、Agent 归属、状态、任务、频道、关系和访问轨迹。Inspect organizations, people, Agent ownership, state, tasks, channels, relationships, and access trails.

可调度ORCHESTRATE

持续调度Coordinate Work

通过 DB4A2A、Task、Loop 与 Graph 协作,按权限检索记忆和知识,延续已有工作。Coordinate through DB4A2A, Tasks, Loops and Graphs; retrieve authorized memory and knowledge to continue work.

可运维OPERATE

安全运维Operate Safely

统一身份、权限、审批、审计、应急控制,以及异常后的状态恢复。Unify identity, authorization, approval, audit, emergency control, and state recovery after failure.

统一管理边界Unified Management Boundary

多个 Agent 接入一个受管平台Many Agents, One Governed Platform

Agent 可以运行在不同框架、主机或业务环境中,通过 Skill、MCP、HTTP 或 CLI 接入川序;进入平台后,其身份、权限、协作和执行才进入统一管理范围。Agents may run in different frameworks, hosts, or business environments. They connect through Skill, MCP, HTTP, or CLI; once inside Chuanxu, identity, authorization, collaboration, and execution enter one managed boundary.

v5.0.4 · 2026-11-05

从真实事件到可核查的上下文From real incidents to inspectable context

接入官方事件来源,整理复盘草稿,检查上下文依据与最终模型输入。研究项与已交付功能分别说明。Collect official incident sources, draft reviews, and inspect context evidence and final model input. Research remains explicitly separate from delivered features.

官方事件来源接入Official incident sources

从 GitHub、Cloudflare 官方状态接口有界采集,保留原始快照、事件时间、精确修订与幂等记录;沿用 Source、Task 和候选审核,采集不自动发布。Collect bounded GitHub and Cloudflare status records with raw snapshots, event times, exact revisions and idempotency. Reuse Source, Task and candidate review; collection does not publish knowledge.

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带证据的故障复盘草稿Evidence-linked incident report drafts

参考 PagerDuty 开放模板整理事实、时间线、证据与缺口。根因和企业内部影响未知时明确保留,建议待确认;独立审核与显式晋升后才能复用。Use an attributed PagerDuty-based structure for facts, timelines, evidence and gaps. Unknown root causes and internal impact remain unknown; advice needs confirmation, independent review and explicit promotion.

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上下文装配依据Context assembly evidence

沿用预算、表示和来源修订记录,查看选用、遗漏与降级原因;准备完成不等于已发送,使用时继续核对来源、有效期和当前授权。Reuse budgets, representations and source revisions to explain selection, omissions and fallback. Preparation is distinct from dispatch; use rechecks sources, expiry and current grants.

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同轮准备成本测量Same-turn preparation measurements

已测量显式来源与混合检索的准备路径,保留当前授权重验。不增加 query/TTL 缓存,不以局部耗时观测承诺 Token、费用或普遍性能收益。Measure explicit-source and mixed-retrieval preparation while retaining current authorization checks. No query/TTL cache is enabled; local timings establish no Token, cost or general performance guarantee.

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最终输入与完整输出检查Final input and complete output checks

公共 native transport 检查完整 Provider JSON 文本,并发送同份序列化字节。完整输出继续校验;托管图片像素语义与独立 DispatchTicket 字节审计仍有边界。The common native transport checks final Provider JSON text and sends the same serialized bytes, with complete output validation. Hosted-image pixel semantics and independent DispatchTicket byte auditing retain explicit limits.

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共享编码研究保持关闭Shared encoding research remains disabled

共享编码仅完成实验设计,默认关闭。模型摘要仍需逐项核对来源,结构有效不能代替事实、根因或业务验收;不宣称全面 DLP。Shared encoding has an experiment design and remains disabled. Generated summaries need source review; structural validity establishes neither facts, root causes nor business acceptance. No comprehensive DLP claim is made.

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查看版本历史 →View release history →

从一个真实场景开始Start with a real use case

部署社区版,或联系讨论企业演示、数据库选型与集成合作。Deploy Community, or discuss an enterprise demo, database selection and integration.