Ashwin Mudaliar

Ashwin Mudaliar

GTM

Ashwin Mudaliar works on GTM at Mastra, finding ways to help partners support developers ship agents into production. A Stanford grad, he also enjoys yoga and surfing.

7 posts

Posts by Ashwin Mudaliar

Oct 20, 2026

Log a Mastra agent into websites with Firecrawl profiles

How @mastra/browser-firecrawl connects a Mastra agent to hosted Firecrawl browser sessions — how per-thread sessions pair with memory across turns, why typed passwords end up in traces, and how named Firecrawl profiles keep credentials out of the agent.

Ashwin MudaliarTools & Integrations
Jun 29, 2026

Give a Mastra agent persistent file storage with Archil

The @mastra/archil integration attaches an Archil disk to your agent's workspace — persistent file storage backed by your own S3 that an agent can read, write, run code on, search, and share, with files that outlive the run.

Ashwin MudaliarSandboxes & Filesystems
Jun 19, 2026

Add realtime voice to your Mastra agents with Inworld

Inworld's Realtime API now plugs into Mastra via @mastra/voice-inworld — one WebSocket session gives your agent speech in/out, semantic turn detection, barge-in, and tool calling, attached to the agent you already have.

Ashwin MudaliarVoice & UI
Jun 16, 2026

Giving a Mastra agent web access with Bright Data

How a Mastra agent uses Bright Data's webSearch and webFetch in its reasoning loop — what comes back from each tool, why memory turns search into research, and when to choose the typed @mastra/brightdata tools over the Web MCP.

Ashwin MudaliarTools & Integrations
May 26, 2026

Build a RAG agent with Mastra and Elasticsearch

How Elastic's reference build wires Mastra's agent, tool, and memory primitives onto Elasticsearch's vector store to answer questions over a corpus of 500 sci-fi movies.

Ashwin MudaliarRAG
May 8, 2026

Building a voice research agent with Mastra, Render, and AssemblyAI

How ravendr — Render and AssemblyAI's reference voice research agent — combines the AssemblyAI Voice Agent API, Render Workflows, and per-stage Mastra agents to answer in under 60 seconds without dead air.

Ashwin MudaliarVoice & UI
Apr 23, 2026

Build Agents with Retrieval and Long-Term Memory Using Mastra and MongoDB

A tutorial on building a movie recommendation agent with vector search and Observational Memory — all on a single MongoDB Atlas cluster.

Ashwin MudaliarMemory