Practitioner guides, open-source tools, and production templates for developers building real-world AI agents.
-
Full Stack Agent Production-ready Next.js + LangGraph.js template with MCP integration, human-in-the-loop approval, persistent memory, real-time streaming, and observability via Langfuse.
-
create-mcp-server CLI to scaffold production-ready MCP servers in TypeScript in seconds. Supports the official MCP SDK and FastMCP TS — go from zero to a working server without the boilerplate.
-
@agentailor/mcp Ground your AI assistant in real, production-tested knowledge for building AI agents — it can search and read Agentailor's 30+ practitioner guides and open-source repos, so you get answers from working examples instead of guesses. Run with
npx @agentailor/mcp; works with Claude Desktop and any MCP client. -
skills Hand-crafted Agent Skills for building AI agents — each distilled from a technique proven in real Agentailor projects (agent prompt engineering, tool design, and more). Drop them into a skill-aware coding agent like Claude Code to design agents to a production-tested standard. Follows the AgentSkills spec.
- blog.agentailor.com — 30+ practitioner guides on agent memory, orchestration, MCP, LangGraph, and fullstack deployment. All written with working code examples for production use cases.
- Agent Briefings — Bi-weekly newsletter covering topics that go deeper or broader than the blog: ecosystem trends, new tooling releases, case studies, and production lessons.
Don't settle for a generic answer. The Agentailor agent is built to give you opinionated, grounded answers about building production AI agents — backed by real experience, not web search. Bring it a real problem: a pattern you're unsure about, a tradeoff you want a second opinion on, or an architecture decision you're stuck on.
Built by Ali Ibrahim · agentailor.com
