Fatbunny Digital
Discuss your project

Applied AI / TypeScript agents

Build AI agents inside a TypeScript operating model.

Mastra workflows, tools, memory and observability connected to the systems your team already maintains.

We use Mastra when a TypeScript-native agent and workflow layer reduces integration friction without weakening state, permission or review boundaries.

Delivery
TypeScript-native
Scope
Workflow-led
Control
Observable

Mastra workflow

Operable TypeScript service
  1. 01Trigger
  2. 02Context
  3. 03Workflow
  4. 04Tools
  5. 05Suspend
  6. 06Result

The operating problem

A convenient agent framework can accelerate a prototype while leaving ownership, data access and failure behaviour undefined. The framework must fit the operating system, not become it.

System mechanism

A production Mastra workflow

Mastra coordinates models, memory, tools and workflow steps inside a TypeScript service with explicit suspension and review points.

A typed Mastra workflow starts from a business event, runs knowledge and system steps in parallel, validates their combined result, suspends for human review when needed and resumes to a measurable outcome.

  1. 01
    Business inputBusiness event

    An API event, schedule or approved user request starts the workflow.

  2. 02
    Mastra workflowTyped workflow input

    A schema defines the data, owner and required output for this run.

  3. 03
    Retrieval engineParallel knowledge step

    Approved evidence is retrieved and ranked for the task.

  4. 04
    Typed toolsParallel system step

    Typed tools collect the operational state needed from existing APIs.

  5. 05
    Decision pointCombined business validation

    Deterministic checks reconcile evidence, system data and required rules.

  6. 06
    SuspendSuspend for review

    Missing data or consequence pauses the run with inspectable context.

  7. 07
    ResumeResume with decision

    The workflow continues from saved state after an accountable decision.

  8. 08
    Business valueReliable workflow result

    The result reaches the business with evidence, status and measurable ownership.

Fatbunny responsibility

Fatbunny decides whether Mastra fits, then owns workflow boundaries, TypeScript integration, tool schemas, memory policy, suspension states, observability and deployment.

Capabilities

  1. 01

    Mastra agent and workflow design

  2. 02

    TypeScript tool integration

  3. 03

    Memory and retrieval boundaries

  4. 04

    Suspend-and-resume review flows

  5. 05

    Tracing, evaluation and deployment

Delivery decisions

  1. 01

    Use Mastra where TypeScript ownership is an advantage

  2. 02

    Keep business rules outside probabilistic model decisions

  3. 03

    Treat memory as governed state

  4. 04

    Expose workflow suspension clearly in the interface

Expected outputs

  1. 01

    A maintainable Mastra project and workflow contract

  2. 02

    Connected tools, review UI and deployment configuration

  3. 03

    Traces, evaluation cases and operating runbook

Honest limits

  1. !

    Mastra is not automatically preferable to direct SDK calls or another orchestration framework.

  2. !

    Framework memory still requires retention, access and deletion rules.

  3. !

    Observability must connect traces to business outcomes.

Why a TypeScript-native agent layer can help

Teams already operating TypeScript services can share types, schemas, deployment patterns and engineering ownership with the AI workflow instead of creating a separate platform boundary.

Workflows make the useful behaviour explicit

The model should handle interpretation and generation where those abilities help. The workflow should handle known sequence, validation, permissions, suspension and retry behaviour.

Choose the framework after the system boundary

Fatbunny does not prescribe Mastra for every AI project. We use it when its workflow and TypeScript model reduce delivery complexity for the particular team and operating environment.

Direct answers

Common questions

What is Mastra used for?

Mastra is a TypeScript framework for agents, workflows, tools, memory, retrieval, evaluation and observability.

Is Mastra better than LangGraph?

Neither is universally better. The decision depends on language ownership, workflow needs, deployment environment and the team's operating model.

Can Mastra connect to our existing TypeScript APIs?

Yes. Existing services can become typed tools when their permissions and failure behaviour are suitable.