AI Workflows & Agentic Architecture Directory

Competitor pricing monitor firecrawl is an automated price tracking system that uses n8n v1.5 to capture competitor product pages, queries Firecrawl API v1 and Tavily Search to extract HTML content, and utilizes DeepSeek...

AutoGen v0.4 multi-agent swarm is an event-driven Python agentic architecture that runs Claude 3.5 Sonnet and OpenAI o3-mini models to write and run code inside isolated Docker container sandboxes. By routing instruction...

Vercel AI SDK bidi streams integration is an architectural pattern that establishes a persistent, bidirectional WebSocket connection between a Next.js 15 serverless backend and a React 19 frontend to exchange text and au...

Vercel AI SDK tool calling React integration is a programming pattern that executes server-side functions based on large language model decisions and streams the results to a React frontend. By combining streamText with...

Trigger dev human loop integration is a design pattern that pauses long-running tasks on Trigger.dev v3 until an external user action completes. By combining waitpoint tokens with Next.js route handlers, developers freez...

Tavily vs Firecrawl comparison evaluates two web data acquisition services optimized for retrieval-augmented generation pipelines. Selecting the correct service reduces average web context extraction latency from nine an...

Temporal vs trigger dev represents the direct architectural comparison between a distributed execution engine and a serverless-native backend task framework. In agentic development, this determines whether tasks maintain...

Stripe n8n agentic billing is an automated system that connects n8n workflows with the Stripe Billing Meters API to track, aggregate, and invoice customers for usage events such as API operations, tokens consumed, or dat...

Semantic Router AI Agents use local embedding models and cosine similarity to match user intents to deterministic routes in under 4ms. By running route classification in-process with LangGraph JS, development teams bypas...

Pydantic AI agent memory connects Mem0 v0.1.20 with Pydantic-AI v0.1.0 to build persistent user preference profiles in a local Qdrant v1.9 vector database. This architecture extracts semantic facts asynchronously from us...

Pydantic AI vs LangChain comparison shows that Pydantic AI v0.1.0 offers superior type-safety and developer velocity for structured output tasks, while LangChain v0.4.0 remains highly effective for complex, modular tool...

Promptfoo agent evaluation is a systematic testing workflow for AI agents using Promptfoo CLI v0.90.0 to verify tool-use accuracy and multi-step trajectories. By defining trajectory assertions in promptfooconfig.yaml, de...