Agentic Graph RAG Pipeline with Multi-Hop Reasoning, Self-Correction & Knowledge Graphs in LangGraph

Build features in parallel with agents-workflow for Pi CLI. PRD→Spec→Tasks→Swarm pipeline with worktree isolation. 90%+ success rate for multi-file implementations.

Build resumable DAG workflows in Pi CLI with pi-taskflow. 18 agents, 8 phase types, cross-session resume, zero dependencies. Complete guide with JSON DSL examples.

Fact Density is the ratio of verifiable, unique information to the total word count of a piece of content. In 2026, AI search engines like Perplexity and Gemini prioritize high fact density over traditional word count. A...

The A2A (Agent-to-Agent) protocol is a horizontal communication standard that allows AI agents from different frameworks to discover, delegate, and collaborate on tasks. Unlike the Model Context Protocol (MCP), which con...

Multi-model tournament code review catches 85-92% of issues before merge. Claude Code dynamic workflows spawn 3-5 competing models. Complete setup guide with cost analysis.

Claude Code dynamic workflows let Claude Opus 4.8 orchestrate 100+ parallel agents for codebase migration. The Bun Zig-to-Rust port of 750K lines completed in 11 days with 99.8% test pass rate. Step-by-step setup guide.

The n8n 3-in-1 AI Automation Suite uses Claude 3.5 Sonnet and Gemini 1.5 Pro across 81 interconnected n8n nodes to run a content factory, customer intelligence engine, and campaign orchestrator from one instance. A 3-per...

n8n-claw is a self-hosted AI agent built entirely inside n8n that uses Claude API for reasoning, PostgreSQL for persistent memory with vector search, Telegram as the chat interface, and SearXNG for private web search. It...

Building n8n workflows with Claude Code means using the n8n-mcp server (czlonkowski, v2.57.1) to give Claude Code direct access to 1,851 n8n nodes through the Model Context Protocol. Developers cut weekly workflow mainte...