Base AI

Base AI represents a significant shift in the 2026 AI landscape by decoupling agent logic from cloud providers through its 'Pipe' architecture. It is a high-performance framework designed specifically for building AI agents that are decoupled, observable, and cost-efficient. The technical foundation relies on the 'Pipe' concept—reusable, schema-validated LLM chains that can be orchestrated across diverse model providers. By 2026, Base AI has established itself as the go-to for 'Agentic Serverless Computing,' allowing developers to execute complex multi-step reasoning tasks without managing persistent server infrastructure. Its architecture includes a local-first development environment (Base AI CLI) and a global edge-deployed runtime. The platform solves the 'Black Box' problem of LLMs by providing granular observability into every token and tool call within a pipe. Positioned as a lightweight, faster alternative to bloated frameworks, it leverages a unified JSON-based schema for prompts, tools, and models, ensuring that agents are portable across various environments including Vercel, AWS Lambda, and Cloudflare Workers.