Tools tagged with "MLX"

72 tools

taOS

A self-hosted AI agent platform runs offline with persistent memory, multi-framework chat, and shared compute across your own devices.

607Updated 2 days agoAGPL-3.0

macOS · Windows · Linux · iOS · Android · Web#Agent Skills#Distributed execution#Hybrid search

taOS is a self-hosted AI agent platform for people who want to run assistants on their own computers and keep their conversations, files, and memory there. It brings agent management and local model access into a browser-based desktop.

Agent MemoryEdge and Embedded AIInference Servers and ClustersPersonal AI AssistantsSelf-Hosted Chat Web UIs

OpenHuman

7 videos

An open-source personal AI app with local model support, app integrations and multi-agent workflows, accessible through desktop, browser and terminal clients.

42.7KUpdated 20 hours agoGPL-3.0

macOS · Windows · Linux · Web#Human approval#LM Studio integration#MCP

OpenHuman is a personal AI assistant for people who want agents to act across their work apps and carry out repeatable tasks. Its orchestration engine manages multiple agents and workflows in one place.

Agent FrameworksAgent MemoryAI Workflow AutomationDesktop Chat AppsPersonal AI Assistants

Magenta RealTime

A local AI music model and synthesis engine for Apple Silicon, with a standalone macOS app and an AUv3 plugin for digital audio workstations.

1.9KUpdated 4 months agoApache-2.0

macOS#MLX#Streaming inference

Magenta RealTime is a local AI music model and synthesis engine for musicians playing AI instruments and developers building interactive music apps. It generates a continuous audio stream on supported Apple Silicon Macs.

Inference Libraries and BindingsMusic and Sound ModelsMusic Generation

Outlines

5 videos

An open-source Python library constrains LLM outputs to schemas and grammars, with local model support through Transformers and llama.cpp.

16KUpdated 3 months agoApache-2.0

#llama.cpp backend#MLX#Ollama integration

Outlines is a Python library for developers who need LLM responses in a defined format. It constrains generation to produce structured data for tasks such as extracting service tickets from emails or limiting an answer to allowed choices.

LLM Libraries and SDKs

Logotyper

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