What building Shippy taught us about building agents
Blog post from Hugging Face
Shippy is an AI maritime agent developed by Ai2's Skylight team to aid in high-stakes decision-making within the maritime domain, ensuring accuracy and reliability to prevent costly errors. The system's architecture incorporates a "soul" that defines its operational boundaries, "skills" for handling specific tasks, and "config" for managing runtime settings, all integrated into a Docker image for deployment. Shippy leverages a deterministic command-line interface (CLI) to interact with Skylight's API, reducing errors by standardizing interactions and allowing for independent testing of its components. The platform is hosted on Mothership, a Kubernetes-based system ensuring user data isolation and session security. Evaluation of Shippy's performance involves a custom-built framework that assesses the entire agent's workflow using live data scenarios, focusing on accuracy and adherence to operational limits. Future developments aim to enhance user interaction, improve model efficiency, and incorporate cross-thread memory, with potential applications extending beyond maritime to other environmental platforms within Ai2.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| AI Agents | 3 | 3,092 | 648 | 191 | -49% |
| LLM | 3 | 3,751 | 612 | 168 | -39% |
| AI Model Fine-tuning | 1 | 402 | 99 | 46 | -46% |
| Kubernetes | 1 | 1,260 | 165 | 75 | -41% |
| OpenClaw | 1 | 131 | 29 | 19 | -63% |
| Real-time | 1 | 2,883 | 708 | 173 | -49% |
| Secrets Management | 1 | 1,384 | 221 | 91 | -44% |
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