Blog
Migration guides, comparisons against LangGraph / CrewAI / AutoGen, deep-dives on resilience, MCP, distributed runtimes, and the patterns we keep seeing in real deployments.
What MCP is, why it became the open standard for AI agent tools, how to consume MCP servers from your agent, how to ship your own MCP server, and the gotchas nobody mentions.
Read article →We rebuilt the LangGraph runtime in Rust, kept the Python API identical, added circuit breakers and distributed clusters in the open-source core, and shipped Python, TypeScript, Rust, Go, and Java SDKs. Here's why.
Read article →End-to-end walkthrough: build an AI code reviewer using Agentmatic's MCP client to wrap the filesystem + git MCP servers, a ReAct loop, and a custom GitHub-comment tool. Production-ready.
Read article →Three different bets on how multi-agent systems should be built — role-based crews, conversation orchestration, or explicit state graphs. The honest tradeoffs.
Read article →How checkpointing actually works in Agentmatic, why every superstep is a save point, how time-travel debugging changes development, and the HITL patterns that scale to production.
Read article →How from_langchain_tools() actually works, why bringing your existing LangChain toolbox costs zero engineering time, and the cases where you should rewrite a tool natively anyway.
Read article →How to run an AI agent runtime across a cluster, in your VPC, without paying a platform tier. Coordinator/worker, P2P mesh, checkpoint hand-off, observability — all from open-source primitives.
Read article →The three most common AI agent patterns — when each fits, when each fails, and how to compose them. Code in every Agentmatic SDK.
Read article →The three resilience primitives every production agent eventually needs — and the mistakes engineers make when they bolt them on themselves. Plus what 'built-in' looks like in Agentmatic.
Read article →An opinionated look at LangGraph, Agentmatic, CrewAI, AutoGen, Vercel AI SDK, OpenAI Agents SDK and friends. Not 'which is best' — 'when to pick which'.
Read article →An honest, reproducible LangGraph vs Agentmatic benchmark across ReAct, Supervisor, RAG, and Map fan-out workloads. With methodology, hardware specs, raw numbers, and the cases where the gap is small.
Read article →A real, no-handwaving step-by-step LangGraph → Agentmatic migration: install, change one import, validate with your existing tests, and optionally adopt resilience primitives. Plus the actual gotchas.
Read article →New article every week. No newsletter, no tracking — just /rss.xml.