Does my team need to know TypeScript?

No. We handle all development. Your team interacts with the agent through its interface. If you ever want to bring development in-house, we hand over clean, well-documented TypeScript code.

Can Mastra agents use OpenAI and other AI models?

Yes. Mastra supports 40+ providers including OpenAI, Anthropic, and Google. We select the best model for your use case and route between providers dynamically.

How does Mastra compare to LangChain?

LangChain is Python-first with a larger ecosystem. Mastra is TypeScript-native with built-in RAG, memory, workflows, and evals. If your stack is JavaScript or TypeScript, Mastra avoids the complexity of a separate Python service.

Is Mastra stable enough for production?

Mastra reached v1.0 in January 2026 and is used by enterprises including Replit, PayPal, and Adobe. We add our own stability layers including monitoring, error recovery, and thorough testing.

Can Mastra agents handle background tasks?

Yes. Mastra includes a workflow engine that handles long-running tasks, scheduled jobs, and event-driven automation. Agents process work in the background while your web application stays responsive.

TypeScript-Native AI Agents With Built-In RAG and Memory

We use Mastra to build AI agents in TypeScript with graph-based workflows, RAG with auto-syncing, short and long-term memory, and model routing across 40+ providers. Built by the Gatsby team, backed by YC, 150,000 weekly downloads.

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We build, deploy, and manage your AI agent. You focus on your business.

What Is Mastra?

Mastra is a TypeScript-native framework for building AI agents, created by the team behind Gatsby and backed by Y Combinator (W25). With 22,000 GitHub stars, $13M in seed funding, and 150,000 weekly npm downloads, it reached v1.0 in January 2026 and is the third-fastest-growing JavaScript framework ever measured.

Mastra provides agents with tool use, graph-based workflow orchestration, RAG with built-in data syncing, short and long-term memory, model routing across 40+ providers, evaluations, and observability, all in pure TypeScript. It is designed for the millions of JavaScript developers who are not part of the Python AI ecosystem.

The tradeoffs: Mastra is TypeScript-only (not suitable for Python teams), has a younger ecosystem than LangChain, documentation is still maturing, and it is more opinionated about structure which limits fine-grained control. We handle the framework complexity and keep your agents stable as Mastra continues to evolve rapidly.

How We Use Mastra to Build Your Agents

Native Web Stack Integration

We build agents in the same TypeScript language as your web application, enabling seamless integration with Next.js, Express, or React codebases. No language bridge or separate Python service needed.

Graph-Based Workflow Orchestration

We leverage Mastra workflow engine to build multi-step business processes with branching logic, error handling, and retries, order processing, approval chains, onboarding sequences, all type-safe.

RAG Agents With Auto-Syncing Data

We use Mastra integrated RAG capabilities to build knowledge-base agents that automatically sync with your data sources, manage embeddings, and stay up to date without manual maintenance.

Persistent Memory Systems

We leverage Mastra short-term and long-term memory so agents remember conversation context within sessions and customer preferences across sessions for personalized experiences.

Quality Measurement and Optimization

We use Mastra built-in evaluation framework to run automated quality checks on agent outputs, track performance over time, and identify regressions to maintain SLA commitments.

Model Routing for Cost and Performance

We use Mastra model routing to connect each agent to the optimal provider: fast, cheap models for classification, premium models for reasoning, switching dynamically based on task requirements.

Example Agents Built With Mastra

Website Customer Engagement Agent

Embedded directly in a Next.js website, greets visitors, answers product questions from a synced knowledge base, captures leads, and books demos, all in the same TypeScript stack.

Support Ticket Workflow Agent

Classifies incoming tickets, searches knowledge base for solutions, drafts responses, checks confidence, auto-sends high-confidence answers, and escalates low-confidence ones, with full state management.

E-commerce Order Management Agent

Integrated with a TypeScript e-commerce backend: handles order inquiries, processes returns, updates shipping preferences, and proactively notifies customers of delays.

Client Portal Assistant With Memory

Remembers each customer history, preferences, and past issues across sessions, providing personalized help and proactive suggestions based on usage patterns.

Document-Powered Q&A Agent

Syncs with your document repository (Google Drive, Notion, SharePoint), indexes content automatically, and answers questions with cited sources, staying current as documents update.

Multi-Step Onboarding Workflow Agent

Guides new customers through onboarding: collecting information, validating data, creating accounts, assigning resources, and sending welcome communications, with error handling at each step.

Why Let Us Handle Mastra?

It is new and changing fast

Mastra is a young framework with frequent updates and potential breaking changes. Setting it up properly requires staying on top of a rapidly moving target.

Things break and need someone watching

New frameworks have rough edges. Someone needs to track releases, handle breaking changes, and keep your agent running smoothly.

Your time is better spent on your business

Every hour managing Mastra updates and deployments is an hour not spent on your customers or growth. Let us handle the technical side.

We build TypeScript agents that fit your stack. You get native integration without the headaches.