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The tools people weigh against Substructure, taken seriously. Each page says what the other tool does better, because a comparison you cannot trust is not worth ranking for.
Substructure vs. the OpenAI Agents SDK
OpenAI's Agents SDK is a free library with great hosted tools, and you operate everything around it. Substructure is the engine that runs the agents for your whole team, on any model. Here is where each one fits.
Substructure vs. LangGraph for AI agents
LangGraph gives you the agent loop as a graph in your own Python or TypeScript process. Substructure gives you running agents your whole team can use, in any language. Here is where each one fits.
Substructure vs. CrewAI for AI agents
CrewAI gives you role-based crews of agents in Python, with a no-code studio on the paid platform. Substructure gives you running agents your whole team uses in Slack, in any language. Here is where each one fits.
Substructure vs. Mastra for AI agents
Mastra is a TypeScript framework with excellent DX for building agents in your own app. Substructure is the agent engine your whole team uses through Slack and your own clients. Here is where each one fits.
Substructure vs. n8n for AI agents
n8n puts an AI agent on a visual canvas with 500+ integrations. Substructure runs agents as config in git, with every step of the loop open to your code. Here is where each one fits.
A different layer
Durable execution platforms solve a lower-level problem than an agent engine, and teams sometimes use one underneath a framework. These pages cover how the layers relate.
Substructure vs. Temporal for AI agents
Temporal gives you durable execution, and you build the agent around it. Substructure gives you the agent itself, running in Slack with MCP and your own tools. Here is where each one fits.
Substructure vs. Inngest for AI agents
Inngest makes your functions durable and gives you AgentKit to assemble an agent in TypeScript. Substructure is the assembled agent, running in Slack with MCP and your own tools. Here is where each one fits.