autotab is described as 'Welcome to autotab! autotab makes it easy to create auditable browser automations using AI. Go from a point & click demonstration in the browser to live code for those actions in seconds' and is an app. There are more than 50 alternatives to autotab for a variety of platforms, including Web-based, Mac, Self-Hosted, Windows and Linux apps. The best autotab alternative is Ollama, which is both free and Open Source. Other great apps like autotab are Jan.ai, AnythingLLM, Alpaca - Ollama Client and Private GPT.
Run open-source LLMs on your computer. You can download and make custom characters for your models. Works offline. The new name is Back yard though it is the same.
Auto-GPT is an experimental open-source application showcasing the capabilities of the GPT-4 language model. This program, driven by GPT-4, chains together LLM "thoughts", to autonomously achieve whatever goal you set.
Perplexity Labs is an AI-powered creation platform developed by Perplexity, designed to help users build and share custom agents capable of performing complex tasks across the web.
United States
LLM inference server with continuous batching & SSD caching for Apple Silicon — managed from the macOS menu bar.
South Korea
Embeddings databases are a union of vector indexes (sparse and dense), graph networks and relational databases. This enables vector search with SQL, topic modeling, retrieval augmented generation and more.
United States
Marqo is an AI-native ecommerce search and product discovery platform built for retail brands in fashion, beauty, footwear, and home goods.
Australia
LanceDB is an open-source database for vector-search built with persistent storage, which greatly simplifies retrieval, filtering and management of embeddings.
United States
A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.
Empower any business with no-code AI voice assistants, enabling seamless outbound/inbound calls and appointments. Personalize user experiences with conversational AI while ensuring top-notch privacy and security across diverse applications.
Germany
EU
You need Ollama running on your localhost with some model. Once Ollama is running the model can be pulled from Follamac or from command line. From command line type something like: Ollama pull llama3 If you wish to pull from Follamac you can write llama3 into "Model name to...
