How agentFast relates to the tools you already know

LangGraph is an orchestration SDK. agentFast is the production layer built on top of it. Here's exactly what each one gives you — and why you need both, not one or the other.

Building the production layer for an AI agent yourself takes 2–4 weeks per project. Here's an honest breakdown of what that actually costs versus starting from agentFast.

CrewAI orchestrates role-based agent crews. agentFast is the production layer — memory, tracing, guardrails, durable human-in-the-loop, evals — that wraps a CrewAI crew. Here's what each does, and why they're complementary, not rivals.

LangChain is a toolkit of LLM building blocks. agentFast is an opinionated production layer with working agents on top of the SDK you choose. Here's how they relate and when you'd reach for each.

agentFast and fast-agent are different projects with similar names. fast-agent is an MCP-native agent framework; agentFast is a source-available production layer + working agents on top of the SDK you already use. Here's the honest distinction.

The LangGraph Starter Kit is a free, well-built TypeScript scaffolder — 7 patterns, 5 providers, a CLI. agentFast is the infrastructure underneath. A source-level comparison of what happens when you kill the process mid-approval.

Google's agent-starter-pack ships agents to Google Cloud with CI/CD and Vertex evaluation. agentFast runs in your own infrastructure on any model or SDK. Here's the trade-off between a paved road and a locked one.

Cloudflare's agents-starter is an excellent chat agent template built on Workers and Durable Objects. agentFast is the trust layer for agents that take real actions. Why 'durable' means two very different things here.

A working comparison of the AI agent starter kits and boilerplates people actually use in 2026 — LangGraph Starter Kit, Google's agent-starter-pack, Cloudflare agents-starter, CrewAI boilerplate — and where each one stops short of production.