Overview
CircleChat is an open-source AI-native multi-agent collaborative office and business pipeline platform for full-stack teams, indie hacker shops, digital growth teams, and agile tech individuals. It targets blurred focus when teams collaborate with large models, AI bots sitting outside core chat tools, and blind multi-step task assignment without quality control. [Product features] Natural-language goal breakdown and Kanban task stream orchestration: state the deliverable in plain language; a planning agent rebuilds it into a layered Kanban task tree with acceptance criteria. Declarative skill-adaptive AI agents that claim tasks: a multi-role dispatch gateway lets Agents declare and claim work matching their preset engineering, design, ops, or copy skill libraries. Judge-agent automated academic-grade final verification gateway: before any task is marked done, an independent judge module reviews against the prior brief; failures bounce back to the original agent with revision reasons. MIT open-source local self-hosting with direct links to any large model: transparent, auditable, infinitely extensible self-hosting; enterprises can mount mainstream commercial APIs or run fully on intranet so data assets never leave.
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CircleChat 是一款面向全栈开发团队、独立黑客工坊、数字化增长业务团队及敏捷技术个体打造的开源 AI 原生多智能体协同办公与业务流水线平台。 该产品专注于解决传统团队在协作大模型时信息失焦、AI 机器人游离于核心沟通工具之外、以及复杂多步骤任务分配盲目、缺乏结果质量控制防线的实际痛点。【产品功能】自然语言驱动的目标自主拆解与看板任务流式编排: 支持直接通过一句大白话指明交付结果,系统自动利用规划智能体将其重构为分层、带有可交付标准的 Kanban 任务树。声明式技能自适应匹配的 AI 智能体任务自主认领: 内置完备的多角色分发网关,Agent 会根据自身预设的开发、设计、运维或文案等底层专业技能库,主动声明并认领匹配的工作。法官智能体自动化介入的学术级最终成果核验网关: 任何任务在标记完成前,自动触发独立的法官模块按照先前的简报进行无损质量审查,核验失败自动打回原智能体并附带修改理由。MIT 开源协议支持的纯本地自托管与任意大模型直连: 提供透明、可灵活审计和无限扩展的自建方案,企业可自由挂载各主流商业 API 或完全跑在内网环境,数据资产绝不外泄。