Mastra

“There are enrichment tools out there, but they're often too rigid,”

“Mastra's TypeScript-native approach really resonated with our team,”

“I went from wondering how I would demonstrate this complex AI pipeline to suddenly having a professional interface that just worked,”

“The update speed is extremely fast, so it's best to check on it continuously so you don't miss anything,”

“We're planning to streamline our internal inquiry response process and create agents to automate routine tasks,”

“We plan to build advanced agents that can perform operations on the KARTE admin screen or conduct analysis on our behalf using tools, as well as multi-agents that can execute tasks across multiple products within KARTE,”

“The playground makes it easy to adjust prompts and troubleshoot with traces, which has boosted development productivity,”

“Thanks to Mastra, AI Agents have become more accessible to us because we can develop and customize them ourselves,”

“Because we can understand what's happening through the code, I believe it has improved the common understanding and ease of collaboration among engineers,”

“Being able to manage it as code makes it easy to handle, which has increased our development productivity,”

“We integrate with external tools using the Mastra Client—we were able to integrate with a Slack App very quickly.”

“Building an agent and connecting it remotely to an MCP server was easy,”

“Our infrastructure is on GKE, and we've configured it to use the Mastra API Server from our BFF,”

“Because it's built with TypeScript, we could quickly build things like agents and integrate with MCP servers.”

“And since it's managed through a GUI, it didn't align well with our product development flow.”

“If you have questions, beyond getting a fast response from Abhi or Shane, you can look at the code yourself," notes Worku. "Open source is a huge unlock.”

“We evaluated LangGraph and considered building something custom," says Worku. "But Mastra's modular agent framework and workflow engine were perfectly suited for what we needed.”

“"Mastra makes it possible for someone like me—a VC who moonlights as a coder—to actually build production-grade AI applications,"”

“There were very few obstacles,” says founding engineer Emil Franzell. “Mastra’s documentation and examples covered most of what we needed, so setup and integration were straightforward. Agents and workflows could be added or modified without major rewrites, which kept development smooth.”

“We liked how Mastra handled complex workflows,” Karégar says. “We needed a flexible, extensible foundation for a veterinary-focused chatbot, and Mastra’s modular agents and workflow engine fit that need perfectly.”

“The developer experience is pretty fantastic,”

“Mastra's TypeScript framework enabled us to quickly experiment with different architectures using the primitives and the dashboard gave us easy visibility into execution state and memory persistence. We used multiple eval frameworks to determine which configurations best handled feature generation requests.”

“Now we can just focus on the business side, which is more exciting for us.”

“Even the tracing and monitoring, like even running a separate stack for the monitoring side for us is just an overkill if you already have that all in there.”

“We have 100 partners. I don't want to really manage 100 infrastructure components,”