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

A Hermes Super Agent A2A fleet combines multi-profile architecture with A2A protocol and Temporal durable workflows for enterprise-grade reliability. A Super Agent manages 20 or more agents via A2A protocol for dynamic d...

A Codex CLI MCP multi-agent pipeline exposes Codex CLI as an MCP server orchestrated with the OpenAI Agents SDK. A Project Manager decomposes your goal into requirements and test documents then enforces gated handoffs ac...

Claude Code dynamic workflows for security audits let you run codebase-wide security reviews by having Claude write a JavaScript orchestration script that fans work across 16 concurrent subagents. Each subagent gets a fo...

The n8n GPT-4o Vision Scraper is a data and analytics workflow that uses the GPT-4o Vision model and Firecrawl to automate resilient web scraping. It saves organizations over 200 hours monthly by replacing fragile CSS se...

Building self-correcting RAG pipelines with LangGraph involves creating a cyclic state machine that evaluates retrieved documents, rewrites failed queries, and triggers web search fallbacks. By using an agentic loop inst...

Deploying Nex-N2 Open Source cuts manual busywork by 80%. Learn the exact architecture teams are using to automate complex decisions in 2026.

NVIDIA released Nemotron 3 Ultra, a 550-billion parameter mixture-of-experts model with only 55 billion active parameters per token, optimized specifically for long-running agent orchestration workloads. The model uses h...

Building an automated prospecting agent involves using n8n to orchestrate a pipeline between Apollo.io for lead discovery and Claude 3.5 Sonnet for real-time qualification. Companies using this autonomous system report r...

Automating an e-commerce catalog with Vision AI involves using a multimodal model like GPT-4o to analyze product photos and automatically generate SEO-friendly titles, descriptions, and tags. By integrating this with Mak...