Open source · communication with AI

Social Kernel.

From ideas to content. From experience to what you learn.

An open-source kernel for working with AI on posts, media and relationships. It brings together editorial knowledge and working methods, helping you preserve the context for what comes next.

In development · 0.2.0-dev.2 · Apache-2.0

The thread through your work
01
What you start with Sources, ideas, conversations
02
What you create Writing, images, replies
03
What you carry forward Decisions, reasons, knowledge

↳ The next activity starts from here

In everyday work

A real situation. A useful contribution.

Start with an idea, a question or an ongoing project. The method connects what you want to say with the people receiving it, then helps you choose suitable words, media and actions.

Working with AI

You have something new to share.

Start with the project’s sources and the difference it could make to someone. AI helps you find the message, draft and revise the writing, and compose useful media.

A post, diagram or video can reveal different aspects of an idea. The format follows what people need to understand.

An idea to explain
Sources + audience
Writing and media to review
What to preserve

The message, sources and selected files

Working with AI

A question opens a conversation.

Recover what was said and the relationship’s context. AI helps you research the question, prepare a reply and preserve what remains open.

A short answer may be enough. Research or a clarifying question may be the useful next step.

A question received
Context + listening
A relevant reply
What to preserve

The reasons and the next step

Working with AI

The project continues in another session.

Make the saved materials available: drafts, sources, decisions and results. AI can recover where the work stands and understand what has changed.

A correction or a success can improve the method. A new situation may call for a different form from the previous piece.

A new moment
State + new information
The next contribution
What to preserve

Knowledge for the work ahead

Continuity and learning

The value continues beyond a single piece.

A published text can start a conversation. A question can change what you need to explain. A correction can teach a better way of working. Social Kernel helps connect these moments and makes useful knowledge available to AI again.

Materials

Sources, drafts and selected media, with the current state of the work.

Relationships

Conversations, questions and commitments to return to.

Method

Reasons behind choices and learning that can change the next piece of work.

Continuity lives in your project’s files or memory, which the AI environment needs to be able to read and update.

In your AI environment

The method joins the tools you use.

Social Kernel can work alongside the skills and memory already in your project. You keep the context and decisions; the AI program supplies the means to work.

01

Social Kernel

The shared method

Writing, media composition, listening, relationships and learning.

02

Your project

Your continuity

Sources, preferences, drafts, relationships and knowledge from your work.

03

The AI program

The available means

Reading and writing files, creative tools and connections to services.

Codex, Claude Code and other environments

Read the source directly or prepare it using the OpenAI, Claude Code or portable profiles. Tools, accounts and memory depend on your configuration. Publishing and replying use the access and permissions you grant.

Choose your integration ↗

Begin with your work

Bring a source. Or an idea to develop.

Open the repository and make it readable by your assistant. Point it to BOOT.md and add the materials you already have. You can begin with a draft, a conversation or the context of a project.

The project welcomes use, ideas and contributions. Share an experience, report an issue or propose a change on GitHub.

A starting point to adapt

Read Social Kernel’s BOOT.md and compose its methods with those already in my project. Here is my situation: [describe it and point to the materials]. Help me understand the useful contribution, produce it with the available tools and preserve what is needed to continue.

Use this text after giving your assistant access to the repository files.