Anakin

Anakin is a no-code AI application platform that lets individuals and teams assemble chatbots, content generators, document workflows, and autonomous agents on top of a shared pool of frontier models — OpenAI GPT-4/4o, Claude, Gemini, DeepSeek, Mistral, and Llama — all metered through a single credit budget rather than juggling separate API keys. The product sits somewhere between an aggregator like Poe and a builder like Dify: you can start by using one of the 1,000+ pre-built apps in the community library, then fork it, swap the model, edit the system prompt, and wire in your own knowledge base or webhook. The visual workflow editor connects nodes for prompts, retrieval, image and video generators, conditionals, and API calls, and the resulting apps can be shared via link, embedded, or invoked through Anakin's REST API. Typical workflows include a marketing team spinning up branded copywriting assistants tied to a product-docs vector store, a solo operator batch-processing spreadsheets of prompts to generate SEO briefs or product descriptions, an SMB building a customer-support chatbot from PDFs and website URLs, and hobbyists chaining Stable Diffusion, Flux, and Runway-style video nodes into a single generation pipeline. Auto Agents extend this into more open-ended task execution, letting the model plan multi-step actions across tools. Because everything shares one credit meter, cost forecasting is straightforward for lightweight use but can get opaque when heavy image or video generation is involved. Best fit is the non-technical builder who wants breadth of models and a marketplace of ready-made apps without touching code.