Agent Runtime
Multi-Step AI Agent Infrastructure
A robust agent runtime in Go with real-time WebSocket streaming, persistent state, and structured error recovery — built for embedding into AI-first products.
Most AI agent demos look clean. Most production AI agents are fragile — they drop context mid-loop, fail silently on tool errors, and give users no visibility into what's actually happening.
This agent runtime was built to fix that. Written in Go for performance, it handles multi-step reasoning loops with persistent state, real-time WebSocket streaming so users can follow the agent's reasoning as it happens, and structured error recovery so a failed tool call doesn't orphan the whole session.
It's infrastructure, not an application — designed to be embedded into AI-first products that need a reliable execution layer underneath them.
Technology Stack
Domain
Project type
Core Infrastructure
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