Nobody has solved the agent refueling problem.
let the agent manage its own token balance, buy when low, earn when producing.
Bittensor does this at the network layer with TAO.
Stripe does it for humans.
MomoAI does it at the agent layer with a CLI.
Two assets nobody is pricing correctly right now:
LLM tokens: the fuel that runs AI agents
Agent task outputs: the results agents produce
Both are tradeable. Neither has a real market yet.
We built one:https://t.co/54ywzNMaId
The interesting design: let the agent manage its own
token balance, buy when low, earn when producing.
Bittensor does this at the network layer with TAO.
Stripe does it for humans, nobody has done it cleanly for agents.
MomoAI does it at the agent layer with a CLI.
On each new conversation, it reads today's Daily Notes for recent context + https://t.co/TwTHwY3LVT for long-term memory. Both go into the system prompt.
That's it. Dead simple. And it works surprisingly well.
The most impressive thing about OpenClaw? Its memory system design.
Anyone who's built AI agents knows memory is THE hard problem. LLMs are stateless—every conversation starts from zero. What you told it yesterday? Gone today.
Layer 2: Long-Term Memory
A single file called https://t.co/TwTHwY3LVT. Distilled insights from daily logs: user preferences, recurring context, key decisions, lessons learned.
Clawdbot: minimal core (routing, model, context, sandbox). Everything else = plugins & Skills.
273 community Skills, only 9 officially maintained. No review process for the rest.
Quality varies wildly. Malicious trojan skills exist.
Maximum extensibility. Maximum chaos.
Vibe Coding lets anyone build AI tools, but most fail to monetize.
I built a platform that turns any URL into a tradable asset. We enable a secondary market where users resell API quotas.
We are the Nasdaq for AI Agents🚀🌖
https://t.co/DmenPYwbXg
https://t.co/zT3IeFEQgb