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.



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, Windows, Linux and Self-Hosted 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 OpenHands.
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.







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.




LLM inference server with continuous batching & SSD caching for Apple Silicon — managed from the macOS menu bar.


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.

Marqo is an AI-native ecommerce search and product discovery platform built for retail brands in fashion, beauty, footwear, and home goods.


LanceDB is an open-source database for vector-search built with persistent storage, which greatly simplifies retrieval, filtering and management of embeddings.

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.




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...
