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Vercel's Agent Stack: A Unified Framework for Building Production-Grade AI Agents

By

Tom Occhino

3h ago· 11 min readen

Summary

Vercel introduces the Agent Stack, a comprehensive framework for building production-grade AI agents. The article explains that every AI agent requires three core capabilities: connecting to models, running durable multi-step workflows, and securely linking to data and tools. The Agent Stack provides all these building blocks in one place, avoiding vendor lock-in and the complexity of stitching together disparate solutions. It enables developers to build agents that can handle complex workloads, long-running tasks, and multi-turn interactions without being tied to a single provider API.

Key quotes

· 5 pulled
No matter how complex the workload, how long it runs, or how many turns it takes to complete, every agent needs three core capabilities to operate.
Implementing these capabilities to build a complete agent forces developers to choose between vendor lock-in with a single provider API, stitching together solutions, or building abstractions themselves.
The Agent Stack gives you all the building blocks you need to create and ship production-grade agents.
Connect to any model, run durable multi-step workflows, and securely link agents to your data and tools.
Every building block you need, in one place.
Snippet from the RSS feed
Build production-grade AI agents with Vercel's Agent Stack. Connect to any model, run durable multi-step workflows, and securely link agents to your data and tools. Every building block you need, in one place.

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