Comparison All comparisons

Glove vs LangChain / CrewAI
static agents, or agents assembled from state?

Real business processes do not have static agents. They have states. A sales agent behaves differently at qualification than at renewal.

Updated September 2026 · For evaluation teams
TL;DR

7 axes that decide it.

LangChain / CrewAI
Glove
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Credit where due

What LangChain / CrewAI do well

LangChain is the most widely used framework for building AI agents — chains, tools, memory, retrieval — and LangGraph adds stateful, graph-based agent orchestration with human-in-the-loop. CrewAI adds multi-agent coordination with role-based agents. For developers building custom AI systems from scratch, both offer flexibility and a large community.

The limit

Where they fall short

LangChain and CrewAI ask you to define agents. You configure a static agent — its role, its tools, its memory — and deploy it.

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The difference

How Glove approaches this differently

In Glove, you don't build agents. You design business processes. The agent is ephemeral — assembled at runtime from a deterministic flow you define visually, with no code, and a state context built automatically from your business data and conversation history.

Same engine. Infinite configurations. All deterministic. All auditable. Token consumption: O(1) per turn. Flat at any scale.

Honest read

Pick the other one when the other one is right.

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Keep comparing

Other evaluations teams run alongside this one.

See the process execute, not the demo script.

Bring one of your own processes. We will run it in Glove on the call.