Agents Hour

Ismail Pelaseyed from Superagent is back on Agents Hour, and this time he's talking about something most builders aren't thinking about yet — supply chain attacks on AI agents. Guardrails protect against what you tell your agent to do. But what about everything your agent reads, fetches, and installs on its own? That's the gap Brin is built to fill. Brin is a free, open-source credit score for agent context. Before your agent acts on an external package, MCP server, skill, or web page, Brin scores it — identity, behavior, and content — and returns a verdict in under 10ms. No signup, no auth, one GET request. Ismail walks through how supply chain attacks actually work in production, the three-tier scoring model behind Brin, how the Cline NPM incident illustrates exactly this problem, and why securing the context — not the agent — is the right mental model. AI Agents Hour is a weekly livestream hosted by Mastra CPO Shane Thomas and CTO Abhi Aiyer. Airing Mondays at 12PM Pacific on YouTube and X, the show covers breaking AI news, agent development techniques, and features interviews with industry experts building AI applications today. 🔗 CHECK OUT BRIN  Brin: https://brin.sh/ Brin docs: https://brin.sh/docs Brin GitHub: https://github.com/superagent-ai/brin Superagent: https://superagent.sh Superagent on X: https://x.com/superagent_ai https://x.com/pelaseyed 📚 MASTRA RESOURCES Mastra: https://mastra.ai Mastra on X: https://x.com/mastra_ai Mastra Discord: https://mastra.ai/community/discord Mastra GitHub: https://github.com/mastra-ai Learn Mastra in the world's first MCP-Based Course: https://mastra.ai/course Principles of Building AI Agents (Book): https://mastra.ai/books/principles-of-building-ai-agents Patterns for Building AI Agents (New Book): https://mastra.ai/books/patterns-of-building-ai-agents MASTRA? Mastra is an open-source TypeScript framework designed for building and shipping AI-powered applications and agents with minimal friction. It supports the full lifecycle of agent development—from prototype to production. You can integrate it with frontend and backend stacks (e.g., React, Next.js, Node) or run agents as standalone services. If you’re a JavaScript or TypeScript developer looking to build an agentic or AI-powered product without starting from first principles, Mastra provides the scaffolding, tools, and integrations to accelerate that process. 00:00 — From guardrails to supply chain attacks 03:32 — Introducing Brin: a credit score for agent context 05:14 — How to integrate Brin into your agent 07:17 — The three-tier scoring model 10:50 — What's next for agent security

This week in AI saw geopolitical turmoil, major funding news, and a shift in software development. Missile strikes in the UAE and Bahrain disrupted AWS and Claude services. Meanwhile, after Anthropic banned its models from autonomous weapons and mass surveillance, the Trump administration banned Anthropic from government contracts—posing a major supply chain risk. On the same day, Sam Altman secured a deal with the Department of War as OpenAI announced a $110 billion funding round, highlighting a sharp contrast in approaches. AI coding is evolving rapidly. Andrej Karpathy noted that coding agents, ineffective before December, now work well with improved quality and coherence. Yet, perfect accuracy remains elusive. New tools emerged: Cursor demos code, Linear markets itself as an AI coding assistant, and Perplexity Computer offers an all-in-one system for managing AI projects. Smaller models like Qwen 3.5 grow faster and more efficient for edge use. Other highlights include Anthropic acquiring Vercept AI, Claude's remote coding controls, and Stanford confirming major AI firms use user conversations to train models. AI Agents Hour is a weekly livestream hosted by Mastra CPO Shane Thomas and CTO Abhi Aiyer. Airing Mondays at 12PM Pacific on YouTube and X, the show covers breaking AI news, agent development techniques, and features interviews with industry experts building AI applications today. 📚 MASTRA RESOURCES Mastra: https://mastra.ai Learn Mastra in the world's first MCP-Based Course: https://mastra.ai/course Principles of Building AI Agents (Book): https://mastra.ai/book Patterns for Building AI Agents (New Book): https://mastra.ai/blog/patterns-book https://docs.google.com/forms/d/e/1FAIpQLSduJjc515f6RZJqtkR2ByqJZrB0iP8B7SUKnjjZE9IajH_I8w/viewform MASTRA? Mastra is an open-source TypeScript framework designed for building and shipping AI-powered applications and agents with minimal friction. It supports the full lifecycle of agent development—from prototype to production. You can integrate it with frontend and backend stacks (e.g., React, Next.js, Node) or run agents as standalone services. If you’re a JavaScript or TypeScript developer looking to build an agentic or AI-powered product without starting from first principles, Mastra provides the scaffolding, tools, and integrations to accelerate that process. CHAPTERS 00:00 – Intro 00:25 – AWS Data Center Strikes & Claude Outages 01:20 – Anthropic Ban 05:30 – Sam Altman's Government Deal 10:05 – Cloudflare/Vercel Drama & NPM Namespaces 11:09 – Block Cuts 40% of Staff (4,000 People) 12:30 – AI & Job Market: Fear vs Reality 18:27 – OpenAI Raises $110B, Codex Growth 18:52 – Claude Releases: Vercept Acquisition, Remote Control, Auto Memory 20:13 – State of AI Coding  26:10 – AI Products and Platforms 28:42 – Open Source Models 31:30 – Quick Hits & GitHub Star Party

Yujohn from Mastra explains why datasets and experiments are essential for building production-grade AI agents. If you're building an agent, you need a way to verify it's working correctly before and after you make changes. Datasets provide that baseline. You create a collection of test cases (ground truth) that represent the scenarios your agent should handle. Then you run experiments: pass each test case through your agent and measure the results. This is error analysis in practice. You start by identifying where your agent fails, then build scorers to quantify those failure modes over time. Smaller teams often ship first and add datasets later, once they have user feedback. Larger teams need them earlier. But eventually, every production agent needs this. The demo shows how Mastra makes this accessible. You can create datasets through the UI, add items manually or import from CSV, and run experiments with a single click. The results show you exactly what went wrong: which tool calls failed, what the agent output was, and how it compared to ground truth. You can also compare experiments side by side to see if your prompt tweaks actually improved things. And because all the data lives in your own database, you can write your own agents to analyze the results, dig into traces, and iterate. The SDK makes it easy to integrate into CI/CD: run experiments on pull requests, gate deployments on eval scores, or just collect data from production and curate datasets later. 🔗 RESOURCES Mastra Datasets docs: https://mastra.ai/docs/observability/datasets Running Experiments: https://mastra.ai/docs/observability/datasets/running-experiments Mastra GitHub: https://github.com/mastra-ai/mastra Yujohn on X: https://x.com/YujohnNatt Mastra Discord: https://discord.gg/mastra AI Agents Hour is a weekly livestream hosted by Mastra CPO Shane Thomas and CTO Abhi Aiyer. Airing Mondays at 12PM Pacific on YouTube and X, the show covers breaking AI news, agent development techniques, and features interviews with industry experts building AI applications today. 📚 MASTRA RESOURCES Mastra: https://mastra.ai Learn Mastra in the world's first MCP-Based Course: https://mastra.ai/course Principles of Building AI Agents (Book): https://mastra.ai/book Patterns for Building AI Agents (New Book): https://mastra.ai/books/patterns-of-building-ai-agents MASTRA? Mastra is an open-source TypeScript framework designed for building and shipping AI-powered applications and agents with minimal friction. It supports the full lifecycle of agent development—from prototype to production. You can integrate it with frontend and backend stacks (e.g., React, Next.js, Node) or run agents as standalone services. If you’re a JavaScript or TypeScript developer looking to build an agentic or AI-powered product without starting from first principles, Mastra provides the scaffolding, tools, and integrations to accelerate that process. 00:00 – Intro 00:48 – What are Datasets and Experiments 01:55 – Error Analysis 03:35 – When to Use Datasets (Team Size Matters ) 05:43 – Demo: Creating a Dataset 07:04 – Demo: Ground Truth 07:53 – Demo: Running Experiments 09:34 – Demo: Comparing Results 11:00 – Your Data, Your Database 12:24 – SDK & CI Integration 14:30 – Collecting Data from Production

Abhi walks through Mastra Code, a new open-source coding agent with observational memory that compresses context without losing it. When we built Observational Memory, we needed a way to test it in production. Instead of a standard bot, we dogfooded it: we built a coding agent and used it ourselves. Writing code every day quickly revealed whether the memory actually worked. Eventually, something clicked. Long, multi-day coding sessions ran smoothly, without hitting the compaction limits that trip up other agents. The agent actually seemed to understand the conversation. That gave us confidence to release Observational Memory... and the agent itself also  became something worth sharing. The core innovation is the Harness primitive. Rather than just a coding agent, Harness can power any type of agentic workflow: customer support, design tools, electrical engineering, and more. In this demo, you’ll see the Mastra Code CLI, a production-ready coding agent, and how Corbin from Artifact used the Harness to create an in-app agent for electrical engineering. Same primitive, completely different use case. 🔗 RESOURCES Mastra Code announcement: https://mastra.ai/blog/announcing-mastra-code Mastra Code GitHub: https://github.com/mastra-ai/mastra Mastra Code NPM: https://www.npmjs.com/package/mastra-code Observational Memory: https://mastra.ai/blog/observational-memory Mastra documentation: https://docs.mastra.ai AI Agents Hour is a weekly livestream hosted by Mastra CPO Shane Thomas and CTO Abhi Aiyer. Airing Mondays at 12PM Pacific on YouTube and X, the show covers breaking AI news, agent development techniques, and features interviews with industry experts building AI applications today. 📚 MASTRA RESOURCES Mastra: https://mastra.ai Learn Mastra in the world's first MCP-Based Course: https://mastra.ai/course Principles of Building AI Agents (Book): https://mastra.ai/book Patterns for Building AI Agents (New Book): https://mastra.ai/blog/patterns-book https://docs.google.com/forms/d/e/1FAIpQLSduJjc515f6RZJqtkR2ByqJZrB0iP8B7SUKnjjZE9IajH_I8w/viewform MASTRA? Mastra is an open-source TypeScript framework designed for building and shipping AI-powered applications and agents with minimal friction. It supports the full lifecycle of agent development—from prototype to production. You can integrate it with frontend and backend stacks (e.g., React, Next.js, Node) or run agents as standalone services. If you’re a JavaScript or TypeScript developer looking to build an agentic or AI-powered product without starting from first principles, Mastra provides the scaffolding, tools, and integrations to accelerate that process. CHAPTERS 00:00 – Intro & The Origin Story 02:09 – The Trend of Building Your Own Claude Code 03:11 – Demo 08:28 – No More Compaction 09:35 – Demo: Harness Primitive + Electrical Engineering Tool 14:08 – Getting Started

Shane and Abhi break down the biggest AI news from the past few days.  Anthropic identified industrial-scale distillation attacks on Claude by DeepSeek, Moonshot AI, and MiniMax. Anthropic also released a groundbreaking report analyzing millions of AI agent interactions using Claude. Software engineering makes up ~50% of all agentic tool calls, but there's emerging use across back office automation, marketing, finance, and more. Claude Code Security launched in a limited research preview. Stripe is shipping 1,300+ AI-generated PRs per week. And they're made by... Minions? Code Mode for MCP is becoming a standard part of the MCP ecosystem. Amp claims the coding agent is dead. We also cover skills benchmarks (smaller models with high-quality skills beat raw Opus), trajectory explorer for agent traces, Vercel AI Gateway video support, Taalas custom silicon for AI inference, Google's Pomelli Photoshoot feature, and the GitHub Star Party pick: superpowers framework. 🔗 RESOURCES Anthropic's distillation attack report: https://x.com/AnthropicAI/status/2025997928242811253 Anthropic's agent analysis: https://x.com/anthropicai/status/2024210053369385192 Claude Code Security: https://x.com/claudeai/status/2024907535145468326 Prompt auto-caching: https://x.com/RLanceMartin/status/2024573404888911886 Stripe minions Part 2: https://stripe.dev/blog/minions-stripes-one-shot-end-to-end-coding-agents-part-2 Code Mode for MCP: https://blog.cloudflare.com/code-mode-mcp/ Amp's statement: https://ampcode.com/news/the-coding-agent-is-dead Skills benchmark: https://x.com/forloopcodes/status/2024819596809949341 Trajectory Explorer: https://x.com/benhylak/status/2024546696211083653 Vercel AI Gateway: https://x.com/rauchg/status/2024629864951927222 Taalas: https://x.com/taalas_inc/status/2024516399251456150 Google Pomelli Photoshoot: https://x.com/GoogleLabs/status/2024529795548102667 Superpowers: https://x.com/socialwithaayan/status/2025609619167670501 AI Agents Hour is a weekly livestream hosted by Mastra CPO Shane Thomas and CTO Abhi Aiyer. Airing Mondays at 12PM Pacific on YouTube and X, the show covers breaking AI news, agent development techniques, and features interviews with industry experts building AI applications today. 📚 MASTRA RESOURCES Mastra: https://mastra.ai Learn Mastra in the world's first MCP-Based Course: https://mastra.ai/course Principles of Building AI Agents (Book): https://mastra.ai/book Patterns for Building AI Agents (New Book): https://mastra.ai/blog/patterns-book https://docs.google.com/forms/d/e/1FAIpQLSduJjc515f6RZJqtkR2ByqJZrB0iP8B7SUKnjjZE9IajH_I8w/viewform MASTRA? Mastra is an open-source TypeScript framework designed for building and shipping AI-powered applications and agents with minimal friction. It supports the full lifecycle of agent development—from prototype to production. You can integrate it with frontend and backend stacks (e.g., React, Next.js, Node) or run agents as standalone services. If you’re a JavaScript or TypeScript developer looking to build an agentic or AI-powered product without starting from first principles, Mastra provides the scaffolding, tools, and integrations to accelerate that process. CHAPTERS 00:00 – Intro 00:25 – Anthropic: Distillation Attacks by DeepSeek, Moonshot, MiniMax 01:36 – Anthropic's Agent Report: 50% Software Engineering, Other Domains Emerging 02:47 – Claude Code Security in Research Preview 03:34 – Prompt Auto-Caching with Claude 03:53 – Stripe Minions: 1,300 PRs/Week 05:39 – Code Mode for MCP (99.9% Token Reduction) 07:29 – Amp: "The Coding Agent Is Dead" 08:36 – Skills Beat Size: Smaller Models with High-Quality Skills 09:39 – Quick Hits: Trajectory Explorer, Vercel AI Gateway, Taalas, Google Photoshoot 12:00 – GitHub Star Party: Superpowers Framework

Shane and Abhi welcome Charlie Holtz from Conductor to AI Agents Hour. Charlie shares how frustration with managing multiple Claude Code instances led to building Conductor. They discuss Conductor's July 2025 launch as the first agent orchestration Mac app, early design choices, and its impact on the market. Charlie outlines a future in which agents run 10x longer and require less supervision, along with new tools such as Kanban boards and a CEO dashboard. The conversation covers multi-agent coordination, designing for both humans and AI, and the importance of user feedback. Watch a live demo showcasing Conductor's parallel agents, code review, GitHub integration, and continuous deployment with GitHub Actions and Vercel. They also explore ways to keep users within the app while allowing flexibility, code-editing strategies, and upcoming remote workstation support. AI Agents Hour is a weekly livestream hosted by Mastra CPO Shane Thomas and CTO Abhi Aiyer. Airing Mondays at 12PM Pacific on YouTube and X, the show covers breaking AI news, agent development techniques, and features interviews with industry experts building AI applications today. 🧰 RESOURCES MENTIONED https://www.conductor.build/ 📚 MASTRA RESOURCES Mastra: https://mastra.ai Learn Mastra in the world's first MCP-Based Course: https://mastra.ai/course Principles of Building AI Agents (Book): https://mastra.ai/book Patterns for Building AI Agents (New Book): https://mastra.ai/blog/patterns-book https://docs.google.com/forms/d/e/1FAIpQLSduJjc515f6RZJqtkR2ByqJZrB0iP8B7SUKnjjZE9IajH_I8w/viewform MASTRA? Mastra is an open-source TypeScript framework designed for building and shipping AI-powered applications and agents with minimal friction. It supports the full lifecycle of agent development—from prototype to production. You can integrate it with frontend and backend stacks (e.g., React, Next.js, Node) or run agents as standalone services. If you’re a JavaScript or TypeScript developer looking to build an agentic or AI-powered product without starting from first principles, Mastra provides the scaffolding, tools, and integrations to accelerate that process. 00:00 Origin Story of Conductor 01:07 Launch and Early Positioning in the Orchestration Space 01:50 The Future 02:46 Autonomous Work and Multi-Agent Coordination 03:39 Designing for Both Humans and AI 04:03 User Education and Feedback Loop 04:48 Live Demo 06:17 Multi-Tasking and Workspace Management 07:31 Code Review and Pull Requests 09:21 Integration and Continuous Deployment Features 10:00 Keeping Users Within the Application 10:35 Editing Code: Directly or with AI? 11:44 Current Integrations and Future Plans

It's time for another AI News roundup with Shane and Abhi! This week was absolutely massive. Matt Shumer's viral article about AI automation, which describes his own job being automated in real time, has reached 84 million views. Anthropic raised $30 billion at a $380B valuation (one of the largest private raises in tech history). Claude Sonnet 4.6 launched with a 1M token context window. And the Chinese model tsunami is real: Qwen 3.5, GLM 5.0, MiniMax M2.5 (nearly Opus-level at 1/8 the cost), and DeepSeek v4 rumors. We also cover Google's Gemini 3.1 Pro, WebMCP native browser support in Chrome 146, OpenAI's agent workflow tips, Peter Steinberger joining OpenAI, Lyria 3 music generation, Kimi Claw integration, and the explosion of agent platforms (Oz, Browserbase Functions, and a former GitHub CEO raising $60M for "version control for agents"). Plus: Real production stats from Ramp (57% of merged PRs from background agents), Letta's context repositories, and why Mastra's Observational Memory is becoming the reference implementation for agent memory. 🧰 RESOURCES MENTIONED Matt Shumer's article: https://x.com/mattshumer_/status/2021256989876109403 Anthropic $30B raise: https://x.com/anthropicai/status/2022023155423002867 Claude Sonnet 4.6: https://x.com/claudeai/status/2023817132581208353 OpenAI agent tips: https://x.com/openaidevs/status/2021725246244671606 Gemini 3.1 Pro: https://x.com/OfficialLoganK/status/2024516665740833156 WebMCP in Chrome 146: https://x.com/chromiumdev/status/2022363079976034455 Ramp production stats: https://x.com/rahulgs/status/2020984194038628832 AI Agents Hour is a weekly livestream hosted by Mastra CPO Shane Thomas and CTO Abhi Aiyer. Airing Mondays at 12PM Pacific on YouTube and X, the show covers breaking AI news, agent development techniques, and features interviews with industry experts building AI applications today. 📚 MASTRA RESOURCES Mastra: https://mastra.ai Learn Mastra in the world's first MCP-Based Course: https://mastra.ai/course Principles of Building AI Agents (Book): https://mastra.ai/book Patterns for Building AI Agents (New Book): https://mastra.ai/blog/patterns-book https://docs.google.com/forms/d/e/1FAIpQLSduJjc515f6RZJqtkR2ByqJZrB0iP8B7SUKnjjZE9IajH_I8w/viewform MASTRA? Mastra is an open-source TypeScript framework designed for building and shipping AI-powered applications and agents with minimal friction. It supports the full lifecycle of agent development—from prototype to production. You can integrate it with frontend and backend stacks (e.g., React, Next.js, Node) or run agents as standalone services. If you’re a JavaScript or TypeScript developer looking to build an agentic or AI-powered product without starting from first principles, Mastra provides the scaffolding, tools, and integrations to accelerate that process. CHAPTERS 00:00 – Intro 00:17 – Something Big Is Happening 02:34 – Anthropic's $30B Funding Round 03:14 – Claude Sonnet 4.6 Release 04:19 – GPT-5.3-Spark 06:42 – OpenAI's Tips for Long-Running Agent Workflows 07:20 – Peter Steinberger (OpenClaw) Joins OpenAI  09:06 – Google Gemini 3.1 Pro Launch 10:21 – WebMCP in Chrome 146: Native Agent Support 12:39 – Lyria 3: AI Music Generation 14:00 – Qwen 3.5 14:16 – GLM 5.0 & MiniMax M2.5 Released 15:48 – DeepSeek v4 Rumors: 10-40x Lower Inference Costs 16:15 – Kimi Claw 17:01 – Oz: Orchestrate Agents in the Cloud 17:10 – Browserbase Functions: Lambda with a Browser 17:41 – Intent 17:41 – Former GitHub CEO's $60M seed round 20:11 – Lab 20:43 – Ramp's 57% PR Stat 20:52 – Letta Context Repositories & Memory Subagents 21:10 – More Observational Memory 22:20 – Markdown from any website 22:34 – Tavily joins Nebius 22:53 – Ghost, the first database designed for agents 23:21 – Outro

Tyler Barnes, founding engineer at Mastra, introduces Observational Memory. It is a new memory system for AI agents that achieves state-of-the-art results on LongMemEval with a completely stable context window. Unlike semantic recall (which uses RAG and invalidates prompt caching), Observational Memory compresses conversations into dense observations while maintaining a stable, fully cacheable context. The result: 94.87% accuracy on LongMemEval with GPT-5 mini. This is the highest score recorded by any memory system to date. In this conversation, Tyler explains how the system works, why it outperforms raw context, and how you can integrate it into your agents in under 20 minutes. We also dive into the research, the benchmarks, and what's next for Observational Memory. 🧰 RESOURCES MENTIONED Observational Memory Launch Blog: https://mastra.ai/blog/observational-memory Full Research Breakdown: https://mastra.ai/research/observational-memory Tyler Barnes on X: https://x.com/tylbar Tyler's Announcement Post (Feb 9 ): https://x.com/tylbar/status/2020924183979397512 📚 MASTRA RESOURCES Mastra: https://mastra.ai Learn Mastra in the world's first MCP-Based Course: https://mastra.ai/course Principles of Building AI Agents (Book): https://mastra.ai/book Patterns for Building AI Agents (New Book): https://mastra.ai/blog/patterns-book https://docs.google.com/forms/d/e/1FAIpQLSduJjc515f6RZJqtkR2ByqJZrB0iP8B7SUKnjjZE9IajH_I8w/viewform MASTRA? Mastra is an open-source TypeScript framework designed for building and shipping AI-powered applications and agents with minimal friction. It supports the full lifecycle of agent development—from prototype to production. You can integrate it with frontend and backend stacks (e.g., React, Next.js, Node) or run agents as standalone services. If you’re a JavaScript or TypeScript developer looking to build an agentic or AI-powered product without starting from first principles, Mastra provides the scaffolding, tools, and integrations to accelerate that process. 00:00 – Intro 00:26 – The Origin Story 01:14 – Previous Memory Systems: Semantic Recall vs Working Memory 02:23 – How Observational Memory Works 03:52 – Human-Inspired Memory System 06:11 – Buffered Observations 06:32 – Research & Benchmarks 10:34 – Live Demo 13:57 – No More Compaction Hell 15:08 – Performance & Cost Benefits 16:42 – Shipped Code vs Research Papers 17:33 – Future Roadmap & Next Ideas

Shane and Abhi cover top AI stories. This week was absolutely massive! Anthropic aired Super Bowl ads mocking OpenAI's decision to put ads in ChatGPT, Opus 4.6, and GPT-5.3-Codex launched within 15 minutes of each other, and then ClawHub dropped a bombshell: 11.9% of the entire marketplace is malware. We cover everything: Anthropic's competitive jabs, the model war benchmarks, Claude's 1M token context, OpenAI's Frontier platform, the security crisis that's reshaping how people think about agent marketplaces, Kimi K2.5's domination on OpenRouter, ElevenLabs' $500M raise at $11B valuation, and the explosion of AI video generation tools. Plus: Perplexity's Model Council, Roblox 4D generation, Mistral's Voxtral Transcribe 2, and why Swyx finally admits evals actually help. AI Agents Hour is a weekly livestream hosted by Mastra CPO Shane Thomas and CTO Abhi Aiyer. Airing Mondays at 12PM Pacific on YouTube and X, the show covers breaking AI news, agent development techniques, and features interviews with industry experts building AI applications today. 🧰 RESOURCES MENTIONED Anthropic Super Bowl ads: https://x.com/tomwarren/status/2019039874771550516 Opus 4.6 launch: https://x.com/claudeai/status/2019467372609040752 GPT-5.3-Codex launch: https://x.com/sama/status/2019474754529321247 ClawHub malware report: https://x.com/aakashgupta/status/2019885557221061026 Kimi K2.5 #1 on OpenRouter: https://x.com/openrouterai/status/2020199664746971195 ElevenLabs $500M raise: https://x.com/elevenlabsio/status/2019048384011854087 Perplexity Model Council: https://x.com/perplexity_ai/status/2019444886114824219 📚 MASTRA RESOURCES Mastra: https://mastra.ai Learn Mastra in the world's first MCP-Based Course: https://mastra.ai/course Principles of Building AI Agents (Book): https://mastra.ai/book Patterns for Building AI Agents (New Book): https://mastra.ai/blog/patterns-book https://docs.google.com/forms/d/e/1FAIpQLSduJjc515f6RZJqtkR2ByqJZrB0iP8B7SUKnjjZE9IajH_I8w/viewform   MASTRA? Mastra is an open-source TypeScript framework designed for building and shipping AI-powered applications and agents with minimal friction. It supports the full lifecycle of agent development—from prototype to production. You can integrate it with frontend and backend stacks (e.g., React, Next.js, Node) or run agents as standalone services. If you’re a JavaScript or TypeScript developer looking to build an agentic or AI-powered product without starting from first principles, Mastra provides the scaffolding, tools, and integrations to accelerate that process.

Shane and Abhi welcome Kiet Ho, cofounder of Superset, to discuss how Superset evolved from simple WorkTree management into a full-featured tool with file editing, automation, cloud support, and multi-agent orchestration.

Shane and Abhi cover this week's top AI developments. The OpenClaw agent goes viral amid growing security concerns over its shifting identity. Moonshot AI's Kimi K2.5 ties for first place on Design Arena. Google DeepMind unveils Project Genie, advancing world model technology. Anthropic previews a new model and explores AI coding with Claude Cowork plugins. Plus, updates on developer tools, humanoid robots, and emerging AI models.

Today we discuss the Mastra 1.0 launch, we talk about the things we are learning, we discuss ClawdBot (renamed to MoltBot and now OpenClaw). We also discuss agent skills, new models, and how agents are reading more docs pages than humans.

Today we announce Mastra is officially 1.0! We talk with Kyle from ElectricSQL (and formerly Gatsby) about Durable Streams. Allie joins us to discuss the code review security problem that can be caused by generated AI code. Finally, we cover all the AI news from the last week including ads in ChatGPT, the Langfuse/Clickhouse acquisition, and the OpenAI / Cerebres partnership.

Today we discuss a rising star, we talk about the emerging agent primitives, and we cover downstream effects of a world where agents are now the primary users of a lot of products/tools. We cover Anthropic news, the Google+Apple partnership, model companies going public, AI in healthcare, and much more.

Who is Ralph Wiggum and why are developers talking about him? We also discuss the rise of opencode and if everyone can be a developer now. And of course, we cover all the latest in AI news.

Today we talk about how Abhi tried to rebuild Git over the holiday weekend. We also review everything that happened in the world of AI and agents in 2025. Finally, we give our 2026 predictions for what we think will happen next year.

Are Agent Skills going to be the new MCP? Today we do a deep dive discussion on Prompt Caching as well as compression. We cover all the latest AI news and finally have a guest from Morning Brew join the show.

Today we talk about GPT 5.2, Claude Code updates, and all the other AI news. On top of that we cover the OWASP agentic top 10 with Allie and have guests from Roark and Foundry join the show.

Today we talk with some guests (Alex from Mastra & Laurie from Arize) about evals and observability. We chat with Lio and Kevin from Defang about deploying agents to AWS/GCP/Azure. And of course we cover all the latest AI news

We talk with a special guest about running parallel CLI coding Agents. Abhi goes into depth on slash commands he is using as well as a general Opus 4.5 review. There are a ton of new models (including some new video models) that we will chat about!