Feikong Teams
开源多智能体协作引擎，内置8个专业智能体，覆盖代码、搜索、数据与远程运维
Feikong Teams 的多智能体协作和圆桌讨论模式在开源工具中极具特色，适合需要跨领域任务自动化的开发者。但其自部署要求和模型 API 配置对新手不友好，且缺乏官方托管服务。若你熟悉命令行、愿意花时间配置，它值得尝试；否则，像 ChatGPT 这样的即用型工具可能更适合你。
Verified 2d ago · liveness 65/100 · cite: rightaichoice.com/tools/feikong-teams
- 需要多智能体协作自动化复杂任务的开发者和运维人员
- 希望用 AI 辅助代码编写、搜索、数据分析和远程管理的技术团队
- 对多模型辩论（圆桌讨论）感兴趣的高级用户
- 需要将 AI 助手集成到 QQ、Discord 等即时通讯平台的团队
- 非技术用户或只想要简单聊天助手的人
- 需要全托管 SaaS 服务（目前仅支持自部署）的用户
- 希望零配置即用的用户（需手动配置模型 API）
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Skip Feikong Teams if you are a non-technical user seeking a plug-and-play chat assistant, or if you need a fully managed SaaS with zero setup — this tool requires self-hosting, manual model API configuration, and comfort with the command line.
需要自备模型 API 密钥（如 OpenAI、DeepSeek），费用按用量计费，长期使用成本取决于调用频率
Feikong Teams 本身是免费开源的（MIT 许可），成本主要在模型 API 调用和自部署基础设施上。相比托管式服务（如 ChatGPT Plus 每月 20 美元），对于已有 API 配额的开发者，Feikong Teams 可能更经济；但对于不熟悉自托管的团队，隐性成本（配置时间、服务器）可能更高。
In short
Feikong Teams — 开源多智能体协作引擎，内置8个专业智能体，覆盖代码、搜索、数据与远程运维. Best for 需要多智能体协作自动化复杂任务的开发者和运维人员, 希望用 AI 辅助代码编写、搜索、数据分析和远程管理的技术团队, 对多模型辩论（圆桌讨论）感兴趣的高级用户. Free to use.
What people actually say about Feikong Teams — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
6 mentions across 1 source (GitHub) · researched Jul 5, 2026.
- +Free to use with full feature set.
- +Eight specialized agents handle diverse tasks.
- +Unique round-table debate mode for multi-model reasoning.
- +Supports MCP protocol for external tool integration.
- +Long-term memory persists across sessions.
- −Unstable execution: tasks interrupt and won't resume.
- −MiniMax model fails after first use with 400 error.
- −Custom AI gateways lack Tool support.
- −No clear upgrade or version management process.
- −Small community limits troubleshooting resources.
- • No apparent hidden costs; the tool is fully free.
- • Potential cost of self-hosting infrastructure (Docker, GPU) if used heavily.
Viability Score
How well maintained and how widely used is Feikong Teams? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- 内置 8 个专业智能体（协调者、软件工程师、网络研究员、数据分析师、远程运维专家、通用执行助手等）
- 协调者智能体智能调度多个子智能体协作完成任务
- 四种工作模式：团队模式、深度模式、圆桌讨论、单 Agent 调用
- 完全支持 MCP 协议，可接入外部工具和数据源
- Skills 技能市场：通过 SkillHub 安装任务专用技能
- 长期记忆：基于 append-only transcript，跨会话提取、检索和注入上下文
- 多模态输入：支持文本、图片、音频、视频和文件
- 后台并行任务：支持并行子任务和断线恢复
- 自然语言定时任务：后台静默执行，并先澄清歧义
- 多入口：Web、CLI、OpenAI API、QQ/Discord/微信消息通道
- 内置工具：文件、命令、Git、SSH、搜索、文档、表格等
- 工具审批流程：策略元数据区分风险操作
- 文件管理：文件分享、密码访问、批量分享
- 三种部署方式：一键安装脚本、Docker、源码编译
- 支持 OpenAI、DeepSeek、GitHub Copilot 等多模型登录
About Feikong Teams
Feikong Teams（非空小队）是一个面向开发者和技术团队的多智能体协作 AI 助手，提供 Web、CLI、API 和即时通讯多入口。它内置 8 个专业智能体（协调者、软件工程师、网络研究员、数据分析师、远程运维专家、通用执行助手等），由协调者智能体按需调度，共同完成代码编写、资料研究、数据分析、远程运维等复杂任务。支持团队、深度、圆桌讨论和单 Agent 调用四种工作模式，灵活适应不同场景。该工具深度集成 MCP 协议，可接入外部工具和数据源；支持 Skills 技能市场动态安装能力包；具备长期记忆跨会话保持上下文；支持多模态输入（文本、图片、音频、视频、文件）；并能通过自然语言设定定时任务后台静默执行。聊天通道集成 QQ、Discord、微信等平台，让团队随时随地与智能体互动。内置文件管理、文件分享、密码访问、批量分享及工具审批流程，保障操作安全。Feikong Teams 基于 Go 核心引擎，支持 Docker 容器化、一键安装脚本和源码编译三种部署方式。用户只需填写模型 API 信息（支持 OpenAI、DeepSeek、GitHub Copilot 等）即可启动。项目采用 MIT 开源许可，代码托管于 GitHub。相比单一聊天助手，Feikong Teams 的多智能体协作和圆桌讨论模式在开源工具中独树一帜，特别适合需要多步骤、跨领域任务自动化的技术场景。但对于非技术用户或希望零配置即用的群体，上手有一定门槛。
Behind the Verdict
Feikong Teams 的核心优势在于其多智能体协作机制，通过一个协调者智能体按需调度多个专业智能体（如软件工程师、网络研究员、数据分析师、远程运维专家），能处理需要多步骤、跨领域协作的复杂任务。四种工作模式——团队模式、深度模式、圆桌讨论、单 Agent 调用——提供了从协作到独立执行的灵活切换，尤其圆桌讨论让多个 LLM 对同一问题给出答案并互相评价，新颖且实用。深度集成 MCP 协议和 Skills 技能市场，使得外部工具和数据源的接入以及任务专用技能包的安装变得可能，大大扩展了系统的可定制性。长期记忆基于 append-only transcript，能跨会话保持上下文，这对于长时间的项目管理非常有用。多模态输入的支持，加上后台定时任务和断线恢复功能，使其成为自动化工作流的可靠工具。多入口（Web、CLI、API、QQ/Discord/微信）保证了使用的便捷性。然而，Feikong Teams 的学习曲线较陡峭，需要用户具备一定的技术能力，尤其是部署和配置环节，需要手动填写模型 API 信息、处理 SSH 配置等。此外，项目目前没有官方托管服务，用户必须自部署，这增加了使用门槛。其文档和社区资源相对有限，对于新手来说可能缺乏足够的引导。尽管如此，对于愿意投入时间配置的开发者、运维人员或技术团队，Feikong Teams 能提供一个高度可定制且高效的自动化助手，潜在价值巨大。
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Real-world workflow fit
Concrete scenarios for the personas Feikong Teams actually fits — and what changes day-one when you adopt it.
需要快速搭建一个全栈 Web 应用，涉及前端、后端、数据库设计和部署
Outcome: 在团队模式下，协调者智能体调度软件工程师智能体编写代码、网络研究员智能体查资料、数据分析师智能体处理项目数据，最终生成可运行的代码和部署脚本
需要远程排查和修复服务器故障，同时要抓取最新的安全公告
Outcome: 通过远程运维专家智能体执行 SSH 命令诊断问题，同时网络研究员智能体检索相关安全补丁，协调者汇总后给出修复方案，整个过程在 Web 界面实时展示
需要分析一份 CSV 文件，并生成可视化报告，同时定期更新数据
Outcome: 在深度模式下，命令数据分析师智能体用 Python 处理数据生成图表，并配置自然语言定时任务，每天早上自动从指定数据源拉取新数据并更新报告
Use Cases
- 使用团队模式，让智能体协作完成一个从需求分析到代码实现的完整项目
- 利用深度模式进行学术研究，先深度搜索再分析结果
- 在圆桌会议模式下，让多个 LLM 对同一问题给出答案并互相评价
- 配置定时任务，每天早上自动抓取新闻并生成简报
- 通过 QQ 或 Discord 集成，在聊天中直接调用智能体执行命令
Models Under the Hood
as of 2026-08-28
Limitations
fkteams 是一个开源项目，需要自部署和模型登录（支持 OpenAI、DeepSeek、GitHub Copilot）才能使用。它没有官方托管服务；使用受限于所选模型 API 的速率限制和成本。默认数据目录是 ~/.fkteams。
as of 2026-08-26
Verification history
We have re-verified Feikong Teams 7 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 7 verification passes.
Free to cite with attribution — this page re-verifies continuously.
Where the pricing makes sense
The company stage and team size where Feikong Teams's pricing actually pencils out — and where peers do it cheaper.
Feikong Teams 本身是免费开源的（MIT 许可），成本主要在模型 API 调用和自部署基础设施上。相比托管式服务（如 ChatGPT Plus 每月 20 美元），对于已有 API 配额的开发者，Feikong Teams 可能更经济；但对于不熟悉自托管的团队，隐性成本（配置时间、服务器）可能更高。
Setup time & first value
How long it actually takes to get something useful out of Feikong Teams — broken out by persona, not the marketing-page minute.
对于熟悉命令行的开发者，使用一键安装脚本（Linux/macOS）或 Docker 可在 15 分钟内完成部署，并配置登录模型 API；配置 SSH 等高级功能可能需要额外 20-30 分钟。对于不熟悉命令行或自托管的用户，搭建环境可能需要半天或更长；Windows 用户可使用 PowerShell 安装脚本，但可能需要额外处理依赖。
Switching to or from Feikong Teams
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From OpenAI API scripts: 创建自定义智能体或使用内置智能体，通过 MCP 或 Skills 复用现有工具调用
- →From ChatGPT: 从简单的聊天对话迁移到多智能体协作，利用长期记忆和定时任务增强自动化
- ↗To n8n or Zapier: 将自动化工作流导出为 API 调用，但这些平台需要可视化编排，无法完全复制多智能体协作
- ↗To LangChain: 将自定义智能体逻辑迁移到 LangChain 框架，重新配置工具和模型
Integrations
Resources & Guides
- Documentationfkteams.wsshow.top
Docs · Feikong Teams
Full product docs from fkteams.wsshow.top
- Quickstartfkteams.wsshow.top
Getting Started · Feikong Teams
Get up and running fast from fkteams.wsshow.top
- Guidefkteams.wsshow.top
Guide · Feikong Teams
In-depth how-to from fkteams.wsshow.top
- Documentationfkteams.wsshow.top
Architecture · Feikong Teams
Full product docs from fkteams.wsshow.top
- Documentationfkteams.wsshow.top
Custom Agent · Feikong Teams
Full product docs from fkteams.wsshow.top
- Documentationfkteams.wsshow.top
Deployment · Feikong Teams
Full product docs from fkteams.wsshow.top
- API Referencefkteams.wsshow.top
Api · Feikong Teams
Methods, params, types from fkteams.wsshow.top
Tutorials & Learning
Official links
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Featured Head-to-Head Comparisons
Feikong Teams vs Presto Voice
Presto Voice and Feikong Teams serve completely different worlds. Presto Voice is a purpose-built, high-investment voice AI for QSR chains aiming to boost revenue—think Dairy Queen and Taco John's. Feikong Teams is a free, open-source multi-agent platform for developers who want to automate coding, search, and data tasks. Choose based on your domain: drive-thru operations or technical workflow automation.
Feikong Teams vs Truleo
Truleo is the clear choice for law enforcement agencies drowning in siloed data – it automates lead generation, report writing, and analysis with deep system integrations. Feikong Teams is a powerful open-source multi-agent platform for developers who need to automate coding, research, and system tasks, but requires technical setup. Choose based on your domain: public safety vs. software development.
Feikong Teams vs Locus Robotics
Locus Robotics is a proven warehouse automation solution for high-volume fulfillment, offering physical AMRs and a RaaS model. Feikong Teams is a free, open-source multi-agent AI platform for developers automating code, search, and system tasks. They serve fundamentally different purposes and are not direct competitors.
Alternatives to Feikong Teams
View allBito
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Formula Bot
AI data analyst: ask questions in plain English, get charts and reports instantly.
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