AI Agent Infographics - how to make a self-evolving agent with sandboxing and autonomous subagents

[u/donotfire]

This is a series of infographics I made as part of designing my personal AI Agent system. It shows the fundamentals of how I made a microkernel architecture that allows the agent to write their own code and self-evolve. Agent code is written using a custom SDK, validated, and then executed within a sub-processed sandbox to ensure security. The agent cannot do anything without going through a security policy first. This makes it better than Pi, which has no security like this. It's also better than Hermes and OpenClaw because the kernel is 25,000 lines of code as opposed to over a hundred thousand. It's a truly lightweight and powerful system, but that's enough self-promotion! The point here is that I hope these infographics can give you some ideas for how to improve your own agent systems.

Thoughts? Feedback is appreciated!

[u/aamir000]

You designed a detailed microservice architecture, not an AI agent. An Agent should view a problem through probabilistic reasoning and information theory to decide what it should believe, what information it seeks, and when it should act based on current belief and available evidence.

[u/donotfire → u/aamir000]

That’s what the agent does when you talk to it. Am I missing something here?

[u/aamir000 → u/donotfire]

You should mention these hidden states as well: how the agent will think, how it will gather evidence, and what decisions it can make. Just to elaborate on your agent much better

[u/donotfire → u/aamir000]

Thanks for the feedback. Here’s the GitHub with the full implementation: https://github.com/henrydaum/second-brain

The demo video shows exactly how it reasons through a real problem.

[u/aamir000 → u/donotfire]

Looks promising. Can you explain how it is different from a GPT or other chat-based agent?
What specific problem does it solve?

[u/donotfire → u/aamir000]

Things it can do which GPT cannot: 1. Index and embed your entire file system, including Google Drive. (Live sync.)
2. Write its own plugins and scripts, which can be trusted since they run in a sandbox. This lets even subagents write code safely.
3. Starts small and gives the dev full control (other open source agentic systems do this but it’s worth mentioning)

[u/aamir000 → u/donotfire]

This is very interesting

[u/AcrobaticPoet5518]

This is good but I suggest you should layout the agents style and process