AI Agents • Infrastructure
Active
Vesper
Infrastructure tool for AI agent fleets in production.
Most of the tools in the AI space right now are about making agents do more things. Nobody was working on the layer underneath - how do you actually run a fleet of agents reliably? How do you control costs when each LLM call costs money? How do you manage memory across agents that need to share context? How do you enforce policy without hardcoding it into every agent's prompt?
I didn't hit one specific frustration that triggered it. I was thinking about where AI infrastructure was going, brainstorming what was genuinely unbuilt, and this was the gap I kept coming back to. The problems that production AI teams were complaining about publicly - runaway costs, agents with no memory hygiene, no policy enforcement, no observability - none of the existing tools were solving them at the infrastructure level. They were patching individual agents. Vesper is an attempt to solve it one layer down.
I didn't hit one specific frustration that triggered it. I was thinking about where AI infrastructure was going, brainstorming what was genuinely unbuilt, and this was the gap I kept coming back to. The problems that production AI teams were complaining about publicly - runaway costs, agents with no memory hygiene, no policy enforcement, no observability - none of the existing tools were solving them at the infrastructure level. They were patching individual agents. Vesper is an attempt to solve it one layer down.