cotoami

cotoami

知识网络构建与协作平台

Cotoami是一个知识网络构建平台,通过时间线和结构化内容双视图设计,帮助用户将零散想法组织成系统知识。平台支持移动设备访问,提供图形化呈现功能,并通过分离写作和连接过程促进新联系的发现。Cotoami集成了概念映射和网页内容抓取功能,为团队协作知识管理提供支持。

Cotoami知识管理概念图协作平台思维导图Github开源项目
<p align="center"><img src="assets/static/images/logo/vertical.png" alt="cotoami" height="200px"></p>

CircleCI

Cotoami (言編み・言網) is a platform where people can weave a large network of wisdom from tiny ideas.

Screenshots

Flow (timeline) and Stock (structured content)

Stock rendered as a graph

Fully usable on mobile devices

Concept

In Cotoami, you post your ideas and thoughts like chatting. The timeline actually has a chatting feature where you can chat with other users sharing the same space.

You would feel free to write anything that comes in your mind. Your posts just flow into the past unless they are pinned:

Then you make connections to enrich your stock (there are two panes side by side representing flow and stock respectvely).

Basic building blocks

Individual posts are called "Cotos", which is a Japanese word meaning "thing", and there's a special type of Coto called "Cotonoma" (Coto-no-ma means "a space of Cotos"). A Cotonoma is a Coto that has a dedicated chat timeline associated with it. These two concepts are basic building blocks of a knowledge base in Cotoami.

As you can see in the image above, Cotonomas are posted to a timeline like Cotos. Actually, you can treat Cotonomas as Cotos. They can be pinned to another Cotonoma or connected to other Cotos.

Separation of writing and connecting

In many cases of note-taking, writing and connecting things are happening at the same time. You put things into categories, which are represented as, for example, sections in a notebook, folders/directories on an operating system or nodes in outliner. You almost connect things unconsciously just following Vertical Relationships, which will be explained later, to make a tree structure.

Cotoami also supports this way of organizing things, but its main aim is to separate writing and connecting to make the latter a more conscious step. For example, Cotoami has a random/shuffle feature to encourage you to observe a variety of Cotos to discover new connections.

Cotoami's concept of knowledge generation

  1. Collect random ideas by posting Cotos to a timeline.
  2. Look for connections between Cotos and make them as they are found.
  3. Cotonomatize: Convert a hub Coto that has many outbound connections and looks worth discussing into a Cotonoma.
  4. Repeat the same thing in the new Cotonoma.

Cotonomatizing

During a process of chatting, posting random ideas and creating structured content by connecting Cotos, some Cotos would collect more connections than others. Those Cotos are possibly important to you or your team and worth discussing as independent topics. Cotonomatizing allows you to convert them into Cotonomas to create new dedicated places to discuss and research the topics in a spontaneous way.

Linking Phrases

Since the version 0.21.0, you can annotate connections. The term "Linking Phrases" is borrowed from Concept Maps. Actually you can create concept maps with this feature as introduced in the Concept Mapping section.

Cotonomas (Cotonomatizing) and Linking Phrases are the most two important features so far in Cotoami.

Why is the Linking Phrases feature so important? Concept mapping is a good way to demonstrate this feature, but an important difference is that Cotoami's linking phrases are optional. That means you should annotate only connections whose relationships are obscure to you. These obscure relationships are possibly valuable knowledge for you (since you didn't know them well before), and should be highlighted in your knowledge-base (that's why annotated connections are rendered so that they stand out). I personally call them Horizontal Relationships.

On the other hand, Vertical Relationships generally means inclusive or deductive relationships like "includes", "results in", or "is determined by". Simple arrow lines would be enough to express these relationships and you wouldn't feel the need for annotations in most cases.

So whether a connection is vertical or horizontal depends on your context in the same way as Cotonomas are concepts emerged in the context of your knowledge creation.

The optional linking phrases are helpful especially when your knowledge graph grows larger.

When a graph is relatively simple with fewer nodes and connections, it works like a mind map. You can grasp the tree structure even if there are some crosslinks. However, when a graph grows larger and becomes more complex, it'll become difficult to follow the structure.

In that phase, annotated connections become more important than plain ones because they work as highlights in the connections. You just need to focus on blue connections in a graph to grasp what you've learned so far.

Concept Mapping

What is a Concept Map?

The screenshot above is an example of a concept map explaining why we have seasons (originally presented in the article at Concept Maps official website: http://cmap.ihmc.us/docs/theory-of-concept-maps).

If you are interested in how this concept map was created with Cotoami, here is a youtube video to demonstrate the process: "Making a concept map with Cotoami" - https://www.youtube.com/watch?v=YYQrsGnSoLU

Cotoami Scraper

To discover interesting connections, you should collect as many varieties of Cotos as possible. But how? Cotoami Scraper helps you generate Cotos from various sources.

Cotoami Scraper is a Chrome Extension that scrapes web content to generate inputs for Cotoami. Currently, it supports the three types of content in web pages: Page link, Selection and Kindle highlights. The screenshot below shows scraping Kindle highlights.

It's available on Chrome Web Store and being developed as an open source project.

Try it

Demo server

There's a server only for demonstration purposes: https://demo.cotoa.me

It may be slow to respond at first because it's run by Heroku free plan (which puts unused apps to sleep).

Launch your own server with Docker

The easiest way to launch your own Cotoami server is to use Docker. If you have a Docker environment running (docker info outputs some info), just one single command below will launch a whole environment, which contains an app server and several backend services, with default configuration:

$ wget

编辑推荐精选

扣子-AI办公

扣子-AI办公

职场AI,就用扣子

AI办公助手,复杂任务高效处理。办公效率低?扣子空间AI助手支持播客生成、PPT制作、网页开发及报告写作,覆盖科研、商业、舆情等领域的专家Agent 7x24小时响应,生活工作无缝切换,提升50%效率!

堆友

堆友

多风格AI绘画神器

堆友平台由阿里巴巴设计团队创建,作为一款AI驱动的设计工具,专为设计师提供一站式增长服务。功能覆盖海量3D素材、AI绘画、实时渲染以及专业抠图,显著提升设计品质和效率。平台不仅提供工具,还是一个促进创意交流和个人发展的空间,界面友好,适合所有级别的设计师和创意工作者。

图像生成AI工具AI反应堆AI工具箱AI绘画GOAI艺术字堆友相机AI图像热门
码上飞

码上飞

零代码AI应用开发平台

零代码AI应用开发平台,用户只需一句话简单描述需求,AI能自动生成小程序、APP或H5网页应用,无需编写代码。

Vora

Vora

免费创建高清无水印Sora视频

Vora是一个免费创建高清无水印Sora视频的AI工具

Refly.AI

Refly.AI

最适合小白的AI自动化工作流平台

无需编码,轻松生成可复用、可变现的AI自动化工作流

酷表ChatExcel

酷表ChatExcel

大模型驱动的Excel数据处理工具

基于大模型交互的表格处理系统,允许用户通过对话方式完成数据整理和可视化分析。系统采用机器学习算法解析用户指令,自动执行排序、公式计算和数据透视等操作,支持多种文件格式导入导出。数据处理响应速度保持在0.8秒以内,支持超过100万行数据的即时分析。

AI工具酷表ChatExcelAI智能客服AI营销产品使用教程
TRAE编程

TRAE编程

AI辅助编程,代码自动修复

Trae是一种自适应的集成开发环境(IDE),通过自动化和多元协作改变开发流程。利用Trae,团队能够更快速、精确地编写和部署代码,从而提高编程效率和项目交付速度。Trae具备上下文感知和代码自动完成功能,是提升开发效率的理想工具。

AI工具TraeAI IDE协作生产力转型热门
AIWritePaper论文写作

AIWritePaper论文写作

AI论文写作指导平台

AIWritePaper论文写作是一站式AI论文写作辅助工具,简化了选题、文献检索至论文撰写的整个过程。通过简单设定,平台可快速生成高质量论文大纲和全文,配合图表、参考文献等一应俱全,同时提供开题报告和答辩PPT等增值服务,保障数据安全,有效提升写作效率和论文质量。

AI辅助写作AI工具AI论文工具论文写作智能生成大纲数据安全AI助手热门
博思AIPPT

博思AIPPT

AI一键生成PPT,就用博思AIPPT!

博思AIPPT,新一代的AI生成PPT平台,支持智能生成PPT、AI美化PPT、文本&链接生成PPT、导入Word/PDF/Markdown文档生成PPT等,内置海量精美PPT模板,涵盖商务、教育、科技等不同风格,同时针对每个页面提供多种版式,一键自适应切换,完美适配各种办公场景。

AI办公办公工具AI工具博思AIPPTAI生成PPT智能排版海量精品模板AI创作热门
潮际好麦

潮际好麦

AI赋能电商视觉革命,一站式智能商拍平台

潮际好麦深耕服装行业,是国内AI试衣效果最好的软件。使用先进AIGC能力为电商卖家批量提供优质的、低成本的商拍图。合作品牌有Shein、Lazada、安踏、百丽等65个国内外头部品牌,以及国内10万+淘宝、天猫、京东等主流平台的品牌商家,为卖家节省将近85%的出图成本,提升约3倍出图效率,让品牌能够快速上架。

下拉加载更多