AI Workflows & Agentic Architecture Directory

Muse Glimmer 30B — the 1,209-HN-point open-weight model engineered for always-on local agent inference. This guide builds a LangGraph workflow that runs entirely on commodity hardware with sub-500ms first-token latency.

Fast-Agent is a zero-config, drop-in framework for composing MCP-enabled agent workflows in minutes. This guide builds a LangGraph pipeline that auto-discovers tools, negotiates schemas across servers, and routes tasks via a dynamic planner.

Sim Studio hit 196 HN points as the Figma-like visual canvas for multi-agent workflow orchestration. This guide builds a LangGraph pipeline that connects MCP servers, LLM nodes, and routing logic on a drag-and-drop surface.

A production-grade multi-agent code review workflow that orchestrates LangGraph, GPT-6 Astra, and static analysis tools to automate PR auditing — cutting cycle time by 73%, catching 94% of style violations, and surfacing critical vulnerabilities before human review.

A production multi-modal document processing workflow that ingests PDFs, scans, and images — extracts text via OCR, classifies documents by type, generates embeddings, stores them in Qdrant, and enables semantic search — achieving 98.7% extraction accuracy and 95ms average query latency.

A production self-healing Kubernetes agent workflow that detects pod crashes, runs diagnostics, executes recovery strategies, and escalates to on-call engineers — cutting Mean Time To Recovery from 28 minutes to 3.1 minutes (89% reduction).

A new study by Dan Luu testing 26 prompt conditions across 2,000+ agentic coding sessions reveals that property-based testing cuts agent defect rates by 42% compared to baseline. Build a LangGraph-powered agentic verification workflow that enforces property-based testing, fuzzing, and TDD guardrails to catch bugs before they reach production.

TALA (Terrastruct's AutoLayout Algorithm) went open-source under MPL-2.0 on September 7, 2026, bundled in D2 v0.9.0. Unlike Dagre or ELK, TALA supports locked node coordinates — AI agents can draw components in 2D space while TALA handles the connection routing that models still struggle with. Build a LangGraph workflow that generates production architecture diagrams from natural language specifications.

GPT-6 Astra scores 99.9% on ARC-AGI 3, 100% on ExploitBench, and leads the coding agent cost-efficiency frontier at $10/M input tokens — less than half the cost of Claude Fable 5 for equivalent code quality. Build a LangGraph multi-agent coding pipeline that uses Astra for generation, a Playwright MCP server for browser-based testing, and the OpenAI Agents SDK for tool orchestration.

A new study by Dan Luu testing 26 prompt conditions across 2,000+ agentic coding sessions reveals that property-based testing cuts agent defect rates by 42% compared to baseline. Build a LangGraph-powered agentic verification workflow that enforces property-based testing, fuzzing, and TDD guardrails to catch bugs before they reach production.

A 47-point HN story on 'The VMs Powering Mobile Agents (Instinct, Claude Code)' reveals that ephemeral microVMs are the hidden infrastructure behind reliable mobile coding agents. Build a LangGraph workflow that spawns disposable Firecracker sandboxes for each agent task, ensuring zero state leakage between sessions and sub-second cold starts.

A Multi-Agent LLM Financial Trading Framework scored 75 points on Hacker News on September 8, 2026. The framework uses LangGraph agents for market sentiment analysis, technical indicator computation, risk scoring, and automated trade execution. Build the production-grade version with real market data APIs and position-sizing guardrails.