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Prototype, inspect, and improve product UI, UX, and design implementation flows.
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Fast TypeScript AI agent framework — per-request agents, 30+ model providers, 100+ integrations, 20+ vector DBs, 10+ databases, sessions, memory, knowledge, tracing, evals, HITL, teams, and workflows.
Renders all assistant prose in internet-native ironic Gen-Alpha slang (skibidi, rizz, fanum tax, sigma, ohio, no cap, bussin, mid, gyatt, NPC, brainrot, cooked, lowkey/highkey) while leaving code, identifiers, file paths, command output, and any backtick-wrapped content verbatim. Supports three flavors: unhinged (default, max-density slang + sentence fragme...
A lightweight framework for building multi-agent systems using queues, shared state, and explicit handoffs between single-purpose agents. If you've used LangGraph or CrewAI, the pattern will feel familiar, but this leans into HTTP triggers and pub/sub for orchestration rather than complex graph structures. The approval gates concept is smart: each agent exp...
Use when the user wants to build, debug, or extend an n8n workflow - generating workflow JSON from a description, scaffolding a custom TypeScript node, building an AI agent (LangChain cluster), iterating over items, writing Code-node JS, linting an existing workflow, diagnosing a failed execution, or driving a live n8n instance via REST.
Build n8n workflows using the Pinecone Assistant node or Pinecone Vector Store node. Use when building RAG pipelines, chat-with-docs workflows, configuring Pinecone nodes in n8n, troubleshooting Pinecone n8n nodes, or asking about best practices for Pinecone in n8n.
Multi-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex tasks, when you need role-based agent collaboration with memory, or for production workflows requiring sequential/hierarchical execution. Built without LangChain dependencies for lean, fast execution.
CrewAI gives you multi-agent orchestration without the LangChain baggage. You define agents with roles and goals, chain tasks together, and let them collaborate autonomously on complex workflows. It's built for production use with memory, 50+ built-in tools, and decent observability. The sequential and hierarchical process modes cover most patterns, from si...
Build production multi-agent systems. 12 patterns, 8 anti-patterns, debugging workflow, cost control. LangGraph + AutoGen + CrewAI.
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4988 candidates for Design. Open matching profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
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