MAIOS

MAIOS Products Social Kernel

Open source · communication with AI

Social Kernel.

From ideas to content. From experience to new capabilities.

Social Kernel organises the work of a social presence: it understands context, forms an editorial plan, creates writing and media, and develops relationships. It can start from ideas, conversations, photos and videos. Experience and corrections become knowledge and competences for subsequent work.

Getting started The project on GitHub
Autonomous work is possible too

With agreed goals, tools and permissions, the AI system can carry research, content and relationships forward, preserving what it learns. People step in at agreed points or when their judgment is needed.

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

From work to new capabilities
01
Where the work begins Sources, ideas, conversations
02
What is created Writing, images, replies
03
What carries forward Knowledge, methods, skills

↳ What is learned changes the next piece of work

In everyday work

A real situation. A useful contribution.

A personal channel, community, activity or project can be the starting point. The system understands objectives, people, materials and available means, forming editorial work and useful actions from that situation. Listening, replying and developing relationships are part of the work too.

Working with AI

A TikTok channel takes shape from a gallery.

Photos and videos on a phone become the starting point. With the materials made accessible to the AI environment, Social Kernel understands style, objectives and the people to reach. It forms an editorial plan, selects content and prepares videos, writing and posts with the available tools.

The work continues through comments and reactions: understanding questions, replying and recognising new themes. With agreed access and responsibility, the system can carry out these activities autonomously. Outcomes refine the plan and the way it operates in that configuration.

Photos and videos in the gallery
Style + objectives + people
Editorial plan and content
What to preserve

Preferences, reactions and learned methods

Working with AI

A question opens a conversation.

Recovering what was said helps establish the relationship’s context. AI can research the question, prepare a reply and preserve what remains open in the project.

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.

With access to drafts, sources, decisions and results, AI can recover the reasons that still matter to the work and understand what has changed, including when materials come from earlier sessions.

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

Experience becomes capability

Learning opens new possibilities.

A question can open a topic to explore. A correction can become a writing method. Social Kernel helps AI turn these experiences into reusable knowledge and skills that can change how it understands, creates and acts.

Materials

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

Relationships

Conversations, questions and commitments to return to.

Skills

Methods refined through use and new capabilities to bring to future work.

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

In the AI environment

The method joins the tools you use.

Social Kernel can work in an AI environment on its own or alongside other kernels. Its method helps AI understand the work and propose how to proceed; the application supplies the tools, with access and permissions granted by people.

01

Social Kernel

12 skills, one shared purpose

Understanding, research, writing, media, relationships and learning from work.

02

The project

The project’s knowledge

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 the chosen configuration. Publishing and replying require access and permissions granted by the account owner. For recurring autonomous work, the AI environment can be configured to wake the system at agreed times or events and report results.

Integration guide ↗

Starting from real work

A source or an idea to develop.

To get started, the assistant needs access to the repository files, beginning with BOOT.md. Photos, videos, ideas, drafts and conversations can provide the context for understanding the work to undertake together.

Read BOOT.md Contribute

The project welcomes use, ideas and contributions. Contributions can include experiences, issue reports or proposed changes on GitHub.

A starting point to adapt

Let’s start from Social Kernel’s BOOT.md and this situation: [channel, objectives, materials and available means]. Together, we can understand what contribution is needed, produce it with the available tools and preserve what we learn in the project.

This text can be used when the assistant has access to the repository files.

In the MAIOS ecosystem

Social Kernel works on its own and can combine its skills with those of other kernels. With MAIOS Project Kernel, communication becomes part of the project’s work; with kernel_chat, it can continue in conversations. Materials, relationships and knowledge gained stay in the project’s private space.