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Tools💻 Code & DevelopmentFeikong Teams
Feikong Teams

Feikong Teams

Free

8 个内置专业智能体协作,一句话搞定代码、搜索、数据分析与远程管理

By Tanmay Verma, Founder · Last verified 05 Jul 2026

0 views
Added 7d ago
69/100Monitor
Visit Website

In short

Feikong Teams — 8 个内置专业智能体协作,一句话搞定代码、搜索、数据分析与远程管理. 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(圆桌会议)感兴趣的高级用户. Free to use.

Compared withvs Locus Roboticsvs Truleovs Presto Voice

Is Feikong Teams actually worth it?

Live

See what real users actually say. We scan live discussions, reviews and complaints across the web and hand you an honest verdict — in under a minute.

3 free scans · no card needed · downloadable report

Run a free scan

Editorial Verdict

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(圆桌会议)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希望通过自然语言设定定时任务实现后台自动化的用户
Not ideal for
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)依赖最新 AI 模型但无法获取付费 API 的用户

Feikong Teams 的多智能体协作架构和圆桌会议模式在开源工具中独树一帜,适合开发者自动化复杂工作流。新手可能需要时间配置模型 API 和了解智能体调度逻辑,但投入回报可观。

Compare with: Feikong Teams vs Bito, Feikong Teams vs Draftbit, Feikong Teams vs Obviously AI

Last verified: July 2026

What's new in Feikong Teams

Checked 6 days ago

Across the latest 1 update: 1 launch.

LaunchChangelog·Jul 1Newest

fkteams v1.0 - Multi-agent collaboration platform

Launched with 8 built-in agents, 4 work modes, MCP tool ecosystem, long-term memory, multi-modal input.

What independent users actually report about Feikong Teams

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).

35% positive65% critical
Recurring strengths
  • +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.
Recurring frustrations
  • −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.
Patterns worth knowing
Stability and reliability issues plague the tool, especially mid-task crashes and model failures.
Seen on GitHub
Model compatibility problems: MiniMax fails on repeated sessions, limiting usable providers.
Seen on GitHub
Custom gateway integration issues block enterprise adoption.
Seen on GitHub
Learning curve
intermediateProductive in ~A few hours
Hidden costs people mention
  • • No apparent hidden costs; the tool is fully free.
  • • Potential cost of self-hosting infrastructure (Docker, GPU) if used heavily.

Viability Score

69/100
Monitor

How likely is Feikong Teams to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.

momentum
55
funding runway
40
website health
90
wrapper dependency
100

Last calculated: July 2026

How we score →

Key Features

  • 内置 8 个专业智能体:代码、搜索、命令行、数据分析、远程访问、讲故事、总结、全能助手
  • 统御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、圆桌会议、自定义模式
  • 完全支持 MCP 协议,可接入外部工具和服务
  • 长期记忆:跨会话自动记忆关键信息
  • 多模态输入:支持文本、图片、音频、视频和文件
  • 子任务并行处理(小助智能体)
  • 技能市场:动态加载特定领域技能
  • 自然语言定时任务,后台静默执行
  • 聊天通道集成:支持 QQ、Discord 等平台
  • Web 界面和命令行双界面
  • 非交互模式支持脚本执行
  • 文件管理、文件分享、密码访问、批量分享
  • 工具审批流程控制安全
  • Docker 容器化部署,一键安装或源码编译

About Feikong Teams

FreeAdvancedAPI availableWeb · CLI

Feikong Teams(非空小队)是一个基于多智能体协作的 AI 助手,面向开发者和高级用户,提供命令行和 Web 双界面。它内置 8 个专业智能体(代码专家、搜索专家、命令行专家、数据分析专家、远程访问专家、讲故事专家、总结专家、全能助手),由“统御智能体”智能调度,协同完成复杂的编程和系统任务。用户可选用团队模式(统御调度)、深度模式(高级规划与搜索)、圆桌会议(多模型辩论)或自定义模式,灵活适应不同场景。 该工具深度集成 MCP 协议,可接入外部工具和服务,扩展能力边界。支持长期记忆、多模态输入(文本、图片、音频、视频)、子任务并行执行、技能市场动态加载,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 等即时通讯平台,让团队随时随地与智能体互动。 Feikong Teams 基于 Go 核心引擎和 Eino ADK AI 框架,支持 Docker 容器化部署,通过 WebSocket 实现实时通信。部署方式包括一键安装脚本、Docker 镜像和源码编译,配置简单,用户只需填写模型 API 信息即可启动。项目采用 MIT 开源许可,代码托管于 GitHub。 相比单一模型聊天助手,Feikong Teams 的多智能体协作机制和圆桌会议模式是其独特卖点,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 不是又一个聊天机器人——它是一个智能体编排平台。8 个内置专业智能体由统御智能体统一调度,能真正并行处理代码审查、数据查询、远程服务器操作等跨领域任务。圆桌会议模式让多个模型互相辩论,输出质量明显优于单一模型。 选择它的理由很明确:你需要一个能自主分解任务、调用多种工具、并在 Web 或命令行界面中执行的 AI 助手。MCP 协议支持意味着可以接入自定义工具,技能市场则让智能体在特定领域更专业。定时任务和聊天通道集成对运维团队尤其实用。 何时该绕道?如果你不熟悉模型 API 配置、命令行操作,或只想找个傻瓜式聊天助手,Feikong Teams 会让你感到挫折。它要求用户具备一定的技术基础,同时依赖用户自己的模型 API(如 OpenAI),没有内置免费模型。 与竞品对比:AutoGPT 或 CrewAI 也支持多智能体,但 Feikong Teams 的圆桌会议模式、内置专业智能体和中文友好度形成差异化。它的文档和配置体验更接近国产开源项目的风格——实用但不够精致。 实际使用中要注意:配置文件中模型名称写的是 gpt-5,但实际需填入可用的模型 ID;部署后需要手动配置智能体开关和认证信息。项目尚在早期,社区活跃度中等,但核心功能可用。对于愿意折腾的开发者,它值回配置时间。

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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

gpt-5

Limitations

当前版本仅提供自部署选项,用户需自行配置 LLM API(如 OpenAI GPT-5)才能运行。免费开源,但无官方托管服务;使用受限于用户选择的模型 API 的速率和成本。文档和社区资源较为有限,主要依赖 GitHub 和中文社区。

Resources & Guides

  • Resourcefkteams.wsshow.top

    Changelog · Feikong Teams

    Helpful link from fkteams.wsshow.top

  • Resourcefkteams.wsshow.top

    Home · Feikong Teams

    Helpful link from fkteams.wsshow.top

Frequently Asked Questions

Tools that pair well with Feikong Teams

Common stack mates teams adopt alongside Feikong Teams, with the specific reason each pairing earns its keep.

Bito

Bito

System-wide context layer for AI coding agents across multi-repo projects

Draftbit

Draftbit

Visually build native & web apps with AI agents and exportable code

Obviously AI

Obviously AI

Always-on AI workers automate CRM, meeting prep, and account monitoring for revenue teams

Featured Head-to-Head Comparisons

Feikong Teams vs Locus Robotics

Feikong Teams vs Truleo

Feikong Teams vs Presto Voice

Alternatives to Feikong Teams

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Bito

Bito

System-wide context layer for AI coding agents across multi-repo projects

FreemiumTry
Draftbit

Draftbit

Visually build native & web apps with AI agents and exportable code

FreemiumTry
Obviously AI

Obviously AI

Always-on AI workers automate CRM, meeting prep, and account monitoring for revenue teams

FreemiumTry

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Details

Pricing
Free
Skill Level
Advanced
Platforms
Web, CLI
API Available
Yes
Content updated
6d ago
Pricing & overview verified
6d ago

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💻 Code & Development🤖 Automation & Agents

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Topics

AutomationAgentData AnalysisOpen SourceCode Generation

Resources

Official WebsiteChangelog
Visit Website
RightAIChoice

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A 60-second editorial pick. No filler, no funnel — unsubscribe anytime.

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© 2026 RightAIChoice. All rights reserved.

Built for the AI community.