Build Efficient AI Agents with the 'Bast' Go Framework
A framework for building an AI agent that works better and cost less. It provides tools to manage AI usage, save on fees, and keep data secure.
Bast is a structured framework for the Go programming language, specifically designed to help developers build reliable AI-powered applications. It leverages the Model Context Protocol (MCP) to help an AI agent communicate seamlessly with external tools and data. By pre-organizing the information sent to the AI, it significantly reduces token consumption and operational costs. Bast also includes a gateway that allows users to set spending caps and audit every action the AI takes, ensuring both financial control and security.
Key points
- Simplifies building robust connections between an AI agent and external data using MCP.
- Lowers operational costs by optimizing how data is structured and sent to AI models.
- Features a built-in spending cap to prevent unexpected AI token fees.
- Provides detailed logs of all AI activities for better monitoring and security.
Quick term guide
- framework
- A ready-made structure or toolkit that helps developers build software faster.
- AI agent
- An AI program that can inspect information and suggest what to do next.
- programming language
- A set of rules people use to tell computers what to do.
- developers
- Developers are people who build software, apps, or websites.
- Model Context Protocol (MCP)
- A standard way to connect AI models to outside data sources and tools.
- Model Context Protocol
- A shared standard that defines how AI assistants connect to and use outside tools and services
- AI models
- The core brain or underlying program that powers an artificial intelligence tool.
- monitoring
- Watching a system to see if it is working well or having problems.