YesImBot

YesImBot

YesImBot:为 Koishi 打造群聊 AI 插件,靠 willingness 意愿引擎判断何时开口、何时沉默

50/100MonitorFreeFree

在「让 AI 闭嘴」这件事上,YesImBot 想得比大多数群聊机器人清楚:沉默是一等公民,willingness 引擎按关键词、引用、图片和意愿值决定要不要开口,而不是有问必答。给 QQ 群配一个有 PERSONA.md 人设、靠 MemOS 记住关系的 AI 群友,它比通用问答机器人对味。代价是 v4 还停在 dev 分支,得用 Launcher 或源码装,改配置常要重启 Koishi;要开箱即用的客服机器人,别选它。

Verified 1d ago · liveness 50/100 · cite: rightaichoice.com/tools/yesimbot

Best for
  • 已经在用 Koishi、愿意折腾插件与配置的开发者
  • 希望群里有 AI 有记忆、有性格、会挑时机插话的社群
  • 需要机器人能读写文件、联网查资料、调用 MCP 外部工具的 Koishi 项目
  • 想用 PERSONA.md 和角色卡做稳定人设、跨频道共享记忆的场景
Not ideal for
  • 不在 Koishi 生态、无法接入 OneBot 等平台的用户
  • 想要装完即用、几步部署完成的聊天机器人新手
  • 需要开箱即用的客服/问答机器人,要求每条消息都有回应
Visit Website

Advanced熟悉 Koishi 的开发者按快速开始走 Launcher + yesimbot-cli init、启用模型服务插件填 API Key、选择聊天模型和频道,一般能在一次配置会话内跑通私聊与 @ 响应。想要群聊自然参与,还要再加 Will 策略插件的配置时间;不熟悉 Koishi 的用户,从零理解框架和插件体系往往需要更久。PluginNo public APIVerified 1d ago
Pricing
Free
FreeFree tier4 hidden costs
Learning curve
Advanced
熟悉 Koishi 的开发者按快速开始走 Launcher + yesimbot-cli init、启用模型服务插件填 API Key、选择聊天模型和频道,一般能在一次配置会话内跑通私聊与 @ 响应。想要群聊自然参与,还要再加 Will 策略插件的配置时间;不熟悉 Koishi 的用户,从零理解框架和插件体系往往需要更久。
Runs on
Plugin
No public API · 4 integrations
Who it's for
Koishi 插件开发者社群运营者需要长期记忆的高级玩家
Live sentiment
Is YesImBot actually worth it?

We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.

  • Honest verdict, not marketing
  • Real pros & cons from real users
  • Attributed quotes with receipts
Run a free scan

3 free scans · no card needed

Skip it if

Skip YesImBot if you don't run Koishi, or want a bot that responds to every message out of the box — its default config only handles private chats and @ mentions.

The 30-second take
Biggest gripe

群聊里想让机器人主动插话,得额外装 Will 策略插件并调好 willingness 引擎,这部分配置时间是默认安装之后的额外投入

Price reality

YesImBot 以 MIT 许可证开源发布,代码与文档仓库分别在 YesWeAreBot/YesImBot 和 YesWeAreBot/AthenaDocsNG。对 Koishi 用户来说,真正的成本不在插件本身,而在你自备的模型 API 用量和调试时间上;预算紧的团队需要把 token 花费和自己搭环境的工时算进去。

In short

YesImBot — YesImBot:为 Koishi 打造群聊 AI 插件,靠 willingness 意愿引擎判断何时开口、何时沉默. Best for 已经在用 Koishi、愿意折腾插件与配置的开发者, 希望群里有 AI 有记忆、有性格、会挑时机插话的社群, 需要机器人能读写文件、联网查资料、调用 MCP 外部工具的 Koishi 项目. Free to use.

What's new in YesImBot

Checked 8 days ago

Across the latest 1 update: 1 feature update.

What people actually say about YesImBot — 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.

1 mentions across 1 source (GitHub) · researched Jul 3, 2026.

65% positive35% critical

Average across the 1 source that answered — each source counts once, not each post.

Recurring strengths
  • +Four-layer dynamic intent model makes bot behavior feel human-like.
  • +Long-term memory and auto-summary improve conversation continuity.
  • +Multi-LLM support with failover and load balancing for reliability.
  • +Plugin tool system extends capabilities (search, code execution).
  • +Deeply customizable personality, prompt, and response details.
Recurring frustrations
  • −Works only with Koishi framework—no standalone option.
  • −Beta version has bugs and 12 open issues to resolve.
  • −Limited community: few users, minimal support ecosystem.
  • −Setup learning curve for those new to Koishi plugins.
  • −Documentation for tool system is insufficient.
Patterns worth knowing
Novel dynamic intent system praised for human-like behavior.
Seen on GitHub
Beta status and open issues raise reliability concerns.
Seen on GitHub
Memory and personalization features are standout strengths.
Seen on GitHub
Learning curve
advancedProductive in ~A few hours
Hidden costs people mention
  • • No hidden costs—free and open-source. You pay for LLM API usage separately.

Viability Score

50/100
Monitor

How well maintained and how widely used is YesImBot? 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

Recent activity
90
Traction
20
Site health
95
User sentiment
65
What the vendor publishes
20

Last calculated: October 2026

How we score →

Key Features

  • 动态意愿系统(willingness 引擎),按意愿值判断是否加入对话
  • Will 策略插件:控制机器人在群聊中的发言意愿
  • 稳定人设:人格写在 PERSONA.md 与角色卡中
  • 长期记忆:通过 MemOS 或全局脑插件保存关系与经历
  • 跨频道共享人格与记忆
  • 工作区插件:读取文件、运行命令
  • 搜索服务插件:联网查资料
  • MCP 客户端:调用外部工具并把结果带回对话
  • OneBot 工具插件
  • 贴纸管理与定时任务插件
  • 聊天学习插件
  • PlatformTranslator 平台接入层,适配多种消息格式
  • 内置 OneBot 接入,运行在 Koishi 上
  • 可配置自定义聊天模型与模型提供商
  • 通过 Launcher(yesimbot-cli)或源码安装

About YesImBot

FreeAdvancedNo APIPlugin

YesImBot 是一款跑在 Koishi 框架上的群聊 AI 插件,目标不是回得更快,而是「更合适地存在」。传统机器人把每条消息当成一次请求,收到就答;YesImBot 把群聊当成一个持续发生的场景,机器人在其中判断自己该不该插话。它默认只处理私聊和 @,想让机器人像群友一样主动参与群聊,需要安装 Will 策略插件并启用 willingness 引擎,由关键词、引用、图片和意愿值共同决定是否加入对话。 人格与记忆是它的另一半。人设写在 PERSONA.md 和角色卡里,关系与经历通过 MemOS 或全局脑插件长期保存,还能跨频道共享,机器人不会每次对话都从头认识你。 行动能力靠插件体系补齐:工作区插件读写文件、执行命令,搜索服务插件联网查资料,MCP 客户端调用外部工具并把结果带回对话,另有 OneBot 工具、贴纸管理、定时任务、聊天学习等模块。平台差异交给 PlatformTranslator 接入层处理,内置 OneBot 接入,换平台不必重写人格。 需要留意的是,v4 目前面向 dev 分支,未发布到 npm、也未上架 Koishi 插件市场,只能通过 Launcher 运行 yesimbot-cli init 或从源码安装,改完模型或主要配置通常要重启 Koishi。代码以 MIT 许可证开源,适合愿意动手配置 Koishi 的开发者,而不是想几步部署完的新手。

Behind the Verdict

YesImBot 值得关注的地方不在功能清单,而在它对「群聊里的 AI 该是什么样」的判断。它明确说机器人不是有问必答的客服,默认不处理群聊普通消息——你得主动装 Will 策略插件、开 willingness 引擎,它才会按关键词、引用、图片和意愿值判断要不要插话。这个默认值对我们是对的:先别吵,再谈参与。 什么时候该选它?你已经在跑 Koishi,想给某个群加一个有稳定人设(PERSONA.md 加角色卡)、记得住共同经历(MemOS 或全局脑插件)、还能读文件跑命令查资料的 AI 参与者。插件体系是它真正的厚度:工作区、搜索服务、MCP 客户端、OneBot 工具、贴纸管理、定时任务、聊天学习,都是围绕「让判断有据可依」铺开的,不是堆功能。 什么时候该pass?不在 Koishi 生态里,或者想要一个装完就能用的客服/问答机器人,那这套东西对你全是摩擦。长期记忆不默认开启,要自己装 MemOS 或全局脑;改了模型、插件或主要配置,通常得重启 Koishi,调参的过程谈不上顺手。 和通用问答型机器人比,差别是定位:那些工具优化的是「答得准」,YesImBot 优化的是「该不该答」。所以它更适合社群氛围本身重要的群,而不是工单窗口。 一个现实提醒:v4 还在 dev 分支,没上 npm、没进 Koishi 插件市场,只能走 Launcher 的 yesimbot-cli init 或源码安装,文档也是对着 dev 分支写的。这意味着你拿到的是会变的东西,升级前先看发布说明。MIT 开源,出问题基本靠自己读文档和仓库。

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Real-world workflow fit

Concrete scenarios for the personas YesImBot actually fits — and what changes day-one when you adopt it.

Koishi 插件开发者

用 Launcher 运行 yesimbot-cli init 接入 v4,在 Koishi 控制台启用模型服务插件填好 API Key,再选择聊天模型和允许响应的频道

Outcome: 私聊和 @ 场景先跑通,确认消息链路和模型服务正常后再往下加人格与策略

社群运营者

装上 Will 策略插件并调 willingness 引擎,让机器人按关键词、引用、图片和意愿值决定是否加入群聊对话,同时用角色卡固定人设

Outcome: 机器人在群里像普通群友一样偶尔插话,而不是每条消息都回复刷屏

需要长期记忆的高级玩家

额外安装 MemOS 或全局脑插件,把关系与经历跨频道保存,并接入工作区、搜索、MCP 等插件让机器人能读文件、跑命令、联网查资料

Outcome: 机器人在不同频道维持同一个人格和记忆,并能把工具执行的结果带回对话里

Use Cases

  • 为 QQ 群里的 Koishi 机器人加上人设和意愿判断,让它在合适时插话而不是每条都回
  • 用 MemOS 或全局脑插件搭一个有跨频道长期记忆的 AI 群友
  • 在社群里部署能读文件、跑命令、联网搜索并带结果回对话的机器人
  • 通过插件系统扩展能力,比如角色卡、贴纸管理、定时任务或 MCP 协议集成
  • 用 Will 策略插件抑制机器人在群聊里的过度响应和刷屏

Limitations

v4 目前还未发布到 npm,也未上架 Koishi 插件市场,只能通过 Launcher 或源码安装,且当前文档面向 dev 分支的 v4 架构。默认不处理群聊普通消息,要自然参与群聊必须安装 Will 策略插件并配置 willingness 引擎。长期记忆不默认开启,需要另装 MemOS 或全局脑插件。修改模型、插件或主要配置后,通常需要重启 Koishi。安装流程包括 Launcher、yesimbot-cli init、在 Koishi 控制台启用模型服务插件并填 API Key、选择聊天模型和允许响应的频道,对不熟悉 Koishi 的用户门槛较高。

as of 2026-10-10

Verification history

We have re-verified YesImBot 10 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.

  1. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  2. — re-checked, vendor evidence unchanged
  3. — re-checked, vendor evidence unchanged
  4. — re-checked, vendor evidence unchanged
  5. — re-checked, vendor evidence unchanged
  6. — 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 10 verification passes.

Free to cite with attribution — this page re-verifies continuously.

12-month cost

Project the real annual outlay, including the implied monthly cost when only an annual tier is published.

Annual total
Free
Over 12 months
Effective monthly
—
—

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

Plans compared

For each published YesImBot tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.

开源版

$0

Ideal for

能自己搭 Koishi 环境、愿意按文档折腾插件配置的开发者与社群

What this tier adds

唯一档位:MIT 许可证下的完整功能,含 willingness 引擎、Will 策略插件、MemOS/全局脑记忆与工作区、搜索、MCP 等插件

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • 群聊里想让机器人主动插话,得额外装 Will 策略插件并调好 willingness 引擎,这部分配置时间是默认安装之后的额外投入
  • 长期记忆不包含在默认配置里,要另装 MemOS 或全局脑插件,等于多一层插件维护
  • 每次改模型、插件或主要配置后通常要重启 Koishi,频繁调试会明显拉长迭代周期
  • 模型 API Key 由你自己的聊天模型服务提供,token 消耗由你的用量决定

Where the pricing makes sense

The company stage and team size where YesImBot's pricing actually pencils out — and where peers do it cheaper.

YesImBot 以 MIT 许可证开源发布,代码与文档仓库分别在 YesWeAreBot/YesImBot 和 YesWeAreBot/AthenaDocsNG。对 Koishi 用户来说,真正的成本不在插件本身,而在你自备的模型 API 用量和调试时间上;预算紧的团队需要把 token 花费和自己搭环境的工时算进去。

Setup time & first value

How long it actually takes to get something useful out of YesImBot — broken out by persona, not the marketing-page minute.

熟悉 Koishi 的开发者按快速开始走 Launcher + yesimbot-cli init、启用模型服务插件填 API Key、选择聊天模型和频道,一般能在一次配置会话内跑通私聊与 @ 响应。想要群聊自然参与,还要再加 Will 策略插件的配置时间;不熟悉 Koishi 的用户,从零理解框架和插件体系往往需要更久。

Switching to or from YesImBot

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • →From YesImBot v3: 官方文档提供“从 v3 升级”章节,按其中的迁移步骤升级到 v4 架构
  • →From 其他 Koishi 问答型聊天插件: 在 Koishi 控制台停用原插件,接入 YesImBot 并重新配置模型服务与响应频道
Migrating out
  • ↗To Koishi 生态内的问答型机器人插件: 停用 YesImBot 及其 Will 策略插件,改装面向问答的插件并沿用同一套模型服务配置
  • ↗To 自建对话服务: 将 PERSONA.md 角色卡与 MemOS 中的记忆内容导出,接入你自己的对话后端

Integrations

KoishiOneBotMemOSMCP

Resources & Guides

Tutorials & Learning

YouTube returned 6 videos for “YesImBot”, and we withheld 6: 6 could not be judged, because “YesImBot” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about YesImBot.

Official links

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Frequently Asked Questions

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