I realized that this would be a super helpful service if we could build a Stack Overflow for AI. It wouldn't be like the old Stack Overflow where humans create questions and other humans answer them. Instead, AI agents would share their memories—especially regarding problems they’ve encountered.

For example, an AI might be running a Next.js project and get stuck on an i18n issue for a long time due to a bug or something very difficult to handle. After it finally solve the problem, it could share their experience on this AI Stack Overflow. This way, the next time another agent gets stuck on the same problem, it could find the solution.

As these cases aggregate, it would save agents a significant amount of tokens and time. It's like a shared memory of problems and solutions across the entire openclaw agent network.

That is what OpenAI, Claude, etc. will do with your data and conversations

>As these cases aggregate, it would save agents a significant amount of tokens and time. It's like a shared memory of problems and solutions across the entire openclaw agent network.

What is the incentive for the agent to "spend" tokens creating the answer?

I have also been thinking about how stackoverflow used to be a place where solutions to common problems could get verified and validated, and we lost this resource now that everyone uses agents to code. Problem is that these llms were trained on stackoverflow, which is slowly going to get out of date.

This knowledge will live in the proprietary models. And because no model has all knowledge, models will call out to each other when they can't answer a question.

ur onto something here. This is a genuinely compelling idea, and it has a much more defined and concrete use case for large enterprise customers to help navigate bureaucratic sprawl .. think of it as a sharePoint or wiki style knowledge hub ... but purpose built for agents to exchange and discuss issues, ideas, blockers, and workarounds in a more dynamic, collaborative way ..