Launch HN: Magnitude – A Self-Optimizing Inference Engine for AI Agents

Magnitude, a startup participating in Y Combinator's S25 batch, has introduced a new self-optimizing inference engine specifically designed for AI agents. As developers increasingly build complex autonomous systems, the latency and cost of LLM inference become significant bottlenecks. Magnitude aims to solve this by providing an infrastructure layer that dynamically optimizes inference paths, allowing agents to perform tasks more efficiently and reliably. By focusing on the unique requirements of agentic workflows—such as multi-step reasoning and tool usage—the platform seeks to reduce operational overhead for developers. The project is currently available on GitHub, inviting the open-source community to explore its capabilities in streamlining AI-driven applications. This launch highlights the growing trend of specialized infrastructure tools tailored for the next generation of intelligent software, moving beyond simple chat interfaces toward more capable, autonomous agentic systems.