AI Workflows & Agentic Architecture Directory

Deploy an Agent-as-Judge pipeline that automatically scores every agent output against safety, hallucination, and compliance rubrics using ShieldGemma 2.0 — cutting manual review time by 78% while catching 94% of policy violations before production.

OpenAI's August 26 Assistants API sunset is 2 days away. Enterprises still using Assistants API face broken agent pipelines. Here's the migration path.

Agents that poll for new data waste 60% of their token budget on unchanged queries. This Kafka MCP Server pushes real-time events directly to agent workflows.

When your agent crashes at step 8 of a 12-step workflow, you lose everything. This Temporal MCP Server gives agents durable execution that survives crashes, deployments, and network failures.

When your agent fleet hits rate limits, naive retries amplify the problem 10x. This backpressure workflow prevents cascade failures with adaptive routing and retry budgets.

Teams generating synthetic training data for agents are hitting a wall: 68% report performance degradation within 90 days. This pipeline catches drift before it reaches production.

MCP servers have hit 9,800+ on mcpservers.org, but observability MCP servers remain underbuilt. This guide builds a production Datadog MCP server that lets Claude Desktop and Cursor query APM traces, detect anomalies, and execute automated runbooks — reducing incident response time from 23 minutes to 90 seconds.

Data governance teams spend 60% of their time manually tracing lineage across data pipelines. This guide builds an autonomous governance agent that auto-discovers lineage, detects PII, and generates SOC2/GDPR audit reports using OpenLineage, Apache Atlas, and LangGraph.

Legal teams spend 72% of contract review time searching for comparable clauses in previous agreements. This CrewAI multi-agent workflow auto-ingests SEC filings, extracts negotiation benchmarks, and generates redline recommendations — cutting review cycles from 5 days to 45 minutes.

Production voice AI agents demand sub-200ms round-trip latency across WebSocket audio streams. This guide delivers a production-ready multi-file implementation with circuit breaker fallback and enterprise audio caching.

Production voice AI agents demand sub-200ms round-trip latency across WebSocket audio streams. This guide architecturally decomposes the OpenAI Realtime API + Twilio Media Streams pipeline, delivering a copy-pasteable multi-file implementation with circuit breaker fallback, VAD tuning, and enterprise-grade audio caching.

Munder Difflin hit 270 points on Hacker News — and for good reason. It's a free, open-source harness that wraps Claude Code, Codex, Copilot, and 9 more CLI agents into autonomous clones sharing memory and handing off work on your machine.