Production AI Workflows & Multi-Agent Blueprints

Build a memory-aware agent workflow for Cursor IDE using MCP preferences to persist coding preferences, project conventions, and learned developer patterns across sessions. Inspired by Cursor's 109-point HN-released MCP memory feature.

Build a multi-agent orchestration hub where every agent registers as an MCP server. LangGraph discovers agents via MCP protocol handshakes, routes tool calls between agents, and enables deterministic inter-agent communication without custom integration code.

OneCLI's 88-point YC S26 sandboxed agent harness keeps SSH keys, API tokens, and DB credentials out of AI tool contexts. Build the full credential gateway: secret scanner, Docker sandbox, and team allowlist config.

Needle2's 537-point 14MB agentic LLM brings task planning and tool calling to phones, wearables, smart homes and robots. This guide builds the complete on-device workflow: quantized core, 256KB persistent memory loop, and confidence-based cloud escalation.

Rowboat's 219-point local-first agent runtime stores every prompt, tool call, and session in local SQLite with Git-style branching. This guide builds the session DAG, MCP tool router, and privacy-first configuration.

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.

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.

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.