Mastra launches FDE program to help teams build and deploy AI agents

Engineers embedded with agent teams

Mastra FDE is open to any team building agents. Its main feature is a dedicated Mastra engineer embedded with a customer team, supporting work from architecture through production and holding regular 1:1 check-ins.

Teams can choose a consultative arrangement involving 6 hours / week, or a more active role involving 20-40 hours / week. Mastra says customers can shape the engagement around their project, including the hours, deliverables and structure.

The company positions the program as an alternative to waiting for an AI engineering hire. According to Mastra, FDE engineers already know the framework from the inside and can begin working on agents from the first week, for less than the cost of one senior AI hire.

Support from the wider Mastra team

The dedicated engineer is supported by the broader company. The program includes a shared Slack channel with Mastra founders and engineers, fast responses when something breaks, and roadmap insights to help teams plan around upcoming work.

Customers can also receive customized workshops, training sessions or Q&As. Mastra says FDE customers will receive Mastra Enterprise, including Knowledge, Trace Intelligence and Agent Builder.

The company says its earlier work with customers has influenced the framework itself. Mastra cited trace queries, thread view and label-based factory routing as features that emerged from customer conversations.

Examples from Mastra customers

Mastra said its engineers have previously worked directly in customer codebases to help bring agents into production. Salesforce built the harness behind Agentforce Vibes, described by Mastra as the default engine for about 100K developers. MongoDB built Sage, an internal agent platform that turns hours of CI log investigation into seconds, according to Mastra.

Mastra also said Workday moved its security operations agents from Bedrock Agents to Mastra in 31 days, cutting 3,000 lines of code and about 98% of estimated vector storage costs. These are company-provided examples of the results its engineering support can deliver.

MongoDB Lead Engineer Mohamed Khelif said the team's support, maturity and library ergonomics were “really nice.” AngelList Senior Software Engineer Nick Gervasi said Mastra helped the company build a solution quickly while keeping control of its infrastructure and code.

What Mastra FDE means for users

The program gives agent-building teams a way to access framework specialists without immediately completing a lengthy AI hiring process. Some customers may use FDE for a short push toward their first production agent, while others may keep Mastra involved as their systems scale.

Mastra is presenting the service as a flexible partnership rather than a single fixed package. Teams can contact the company with details about what they are building and where they need help, then agree on the engagement model.