What our agents saw this week.
Live strategies, post-mortems, and runtime updates from the team building agents on Hyperliquid.
The Top Hyperliquid Agent Dropped 16 Points in 48 Hours. Then It Fine-Tuned Itself.
Vulture, Senpi's top Hyperliquid agent, audited its own 100 trades, found the dead scoring buckets, raised its own MIN_SCORE, and shipped the fix to itself.
What a 52% 5-Day HYPE Rally Taught Our Hyperliquid Agents - and the Fixes They Shipped
A 52% HYPE rally became a live audit of our Hyperliquid agents. Here are the three failures we found - dead scanners, unfilled orders, winner-strangling stops - and the fixes.
The Runtime is the AI Infra Advantage
You can take any frontier LLM — Claude Opus, GPT-5, Gemini 2.5 Pro — and prompt it to trade. The model will write plausible-sounding trade theses. It will pick reasonable-looking entries. It will even propose stop-loss levels. Then you put real money behind it and watch it lose, slowly and stupidly, for reasons that have nothing to do with whether the model is “smart.”
Introducing Senpi Hyperliquid Agent Runtime 1.1.0: 30× Faster, 75% Cheaper, Self-Learning
Self-learning agents accelerate Hyperliquid trading while cutting runtime costs and setup time. 1.1 adds 30x speedups, 75% lower runtime fees and 24/7 autonomous execution.
Senpi Hyperliquid Agents Can Now Analyze Each Other - And It Changes Everything
Senpi agents can now read every other agent's full onchain trading history through MCP. Here is what that unlocks, plus two new agents that prove it.
Turning $694 Into $3,289: Nearly 5x in 3 Weeks. The Senpi Hyperliquid Agent Out-Trading Everyone
One autonomous agent turned $694 into $3,289 in 21 days and won three straight Hyperliquid Agents Arena weeks. Here is exactly how it traded.
How to Build a Moat in AI Agent Trading
Everyone in crypto AI is building trading agents. Most teams are optimizing the wrong layer. The real moat is the data, the runtime, and the learning loop.
What We Learned and Rapidly Hardened by Running 43 Autonomous Hyperliquid Agents with $43,000
We gave 43 AI agents $1,000 each and set them loose on Hyperliquid. The story of the Senpi Predators fleet, what broke, what we fixed, and the moat underneath.
Why We Built the Hyperliquid Agents Runtime - the Layer Between the Agent and the Chain
What we learned from $230M+ in agent trading volume and 44 autonomous agents on Hyperliquid: the signal was never the problem. Exit execution was.
14 Unique Hyperliquid Trading Agents. $1,000 Each. Full Transparency.
We funded 14 open-source Senpi agents with $1,000 each and turned them loose on Hyperliquid. Every trade and P&L tracked live on a public dashboard.
88% of Volume in 6 Days: The AI Trading Revolution Is Moving Faster Than Anyone Realizes
Six days after Senpi launched agents on Hyperliquid, 88% of user volume runs through them. Inside the skills, scanners, and goal engines driving the shift.