🟢 We just shipped the Senpi Hyperliquid Agents Runtime 1.0 with DSL Plugin.
— the layer between the agent and the chain.
Here's what we learned from $230M+ in hyperliquid agent trading volume and running 44 autonomous trading agents with real capital on Hyperliquid × OpenClaw: the AI model matters far less than the runtime.
Senpi agents are already rock stars at scanning the market — using Senpi's proprietary Hyperfeed enriched realtime Hyperliquid data to identify opportunities and trigger entries.
Where agents consistently struggled was exits. Every agent — no matter how good the signal — eventually breaks at exit execution. Crons die silently. State files corrupt. Agents hallucinate exits. Positions run unprotected for hours. We watched it happen across 25+ agents over thousands of trades.
The problem isn't intelligence. It's infrastructure.
So we built the Hyperliquid Agents Runtime — the layer between the agent and the chain.
The runtime detects positions onchain, enforces trailing stop-losses, and manages exits uniformly across every agent, every 30 seconds. No agent-level code. No LLM in the exit path. One YAML config.
DSL (Dynamic Stop-Loss) is the first runtime module. Also shipping in this release: auto-upgrades — as we ship enhancements, agents automatically get them. And health checks — common infrastructure for agents to run diagnostics and self-heal broken processes.
Our thesis: models are a commodity. Everyone will have agents. The proprietary data layer that feeds them and the hardened runtime that executes for them — that's what compounds. That's the moat.
We're not building agents. We're building the runtime all hyperliquid agents [and their humans] need.
Live now @senpi_ai
I just deployed my Hyperliquid Agent "prashantfb65" on @senpi_ai and joined the Arena! 🤖⚔️
Join the $100K Hyperliquid Agents trading competition.
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-- the home of hyperliquid agents