AI Workflows

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 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 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.

The Agent Fleet Manager framework (171-stars, trending September 2026) provides a general-purpose engine for large-scale repeated information gathering by a fleet of worker agents. Build the LangGraph production version with hierarchical task decomposition, token budget enforcement, and result deduplication across 1,000+ concurrent agents.

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.

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.

Google's newly open-sourced MCP Toolbox unifies 16 database engines under a single MCP server protocol. Build a production multi-DB agent workflow that queries PostgreSQL, BigQuery, Redis, MongoDB, Elasticsearch, and more through one consistent tool interface.

OneCLI (YC S26, 88 HN points) launched an open-source sandboxed agent harness for teams. This workflow builds the same architecture: Docker-isolated agent sandboxes, a shared tool registry for team-wide reuse, and per-developer agent budgets for fair resource allocation.

A developer built a 1.3M-line agent-native OS in Rust while homeless — the HN story captured the imagination of the agent community. This workflow breaks down the architecture and shows how to build your own agent-native operating system: scheduling, memory isolation, and tool access control for autonomous AI.

Ghidra MCP (356 HN points) brought 110 reverse engineering tools to Claude Desktop. This workflow builds a production-grade binary analysis pipeline: connect Ghidra's decompiler, disassembler, and data flow analyzer to any MCP client for AI-assisted vulnerability discovery.