AI Workflows & Agentic Architecture Directory

Discover how to orchestrate advanced reasoning pipelines using DeepSeek-R2 and LangGraph to build multi-agent systems that verify, iterate, and solve complex problems autonomously.

Learn to build a self-healing CI/CD pipeline using Claude 3.7 Sonnet and FastMCP, enabling your codebase to automatically detect, analyze, and patch regressions during runtime.

A comprehensive blueprint for implementing Multi-Modal Vision RAG architectures, leveraging Gemini 2.5 Pro for visual reasoning and Qdrant for high-dimensional vector search to unlock insights from PDFs, diagrams, and video frames.

A comprehensive deep dive into the August 2026 AI landscape, benchmarking the performance, cost-efficiency, and logical reasoning capabilities of the top open-weight and proprietary models.

Testing remote publishing directly to local and live database.

Explore Gemini 2.5 Pro's 2M token context window and native audio/video processing for sub-100ms agentic decision loops.

Learn how to build self-healing enterprise agentic pipelines combining LangGraph state machine routing with AutoGen multi-agent debate.

Implement a high-performance corporate RAG pipeline combining n8n event triggers with Qdrant hybrid vector-keyword retrieval.

Deploy a production-ready role-based multi-agent support team using CrewAI v1.16 hooks, WaitTool, and SLA tracking.

Comprehensive guide to building high-performance MCP servers for Cursor IDE using FastMCP 3.0 TypeScript SDK with OAuth 2.0.

Connect Claude Desktop directly to your Supabase PostgreSQL database using the official Supabase Vector Model Context Protocol server.

Deep-dive analysis comparing DeepSeek-R2 open reasoning performance against Claude 3.7 Sonnet across SWE-bench and MATH-500.