hiresTI: Native Linux TIDAL Player with OpenClaw/MCP Support

Native Linux TIDAL Player with AI Workflow Integration
hiresTI is a native Linux desktop client for the TIDAL music streaming service. The project focuses on delivering a dedicated Linux music player experience while enabling integration with AI coding workflows through OpenClaw.
Core Features and Architecture
The application prioritizes several key areas:
- Stable playback
- High-quality output paths
- A proper GTK4/Libadwaita Linux desktop user interface
- OpenClaw integration through MCP (Model Context Protocol) for remote control
This allows users to maintain a local desktop player experience while exposing playback controls through MCP, making it usable within AI-assisted development environments.
Technical Implementation
Under the hood, hiresTI uses a hybrid architecture:
- Python UI layer
- Rust audio core
Recent development work has concentrated on remote control functionality, MCP support implementation, playback stability improvements, and library/collection behavior.
Target Audience
The app is designed for Linux users who want a native music player for TIDAL and also want to integrate it into AI workflows through OpenClaw.
Resources and Setup
The project is available on GitHub with specific documentation for OpenClaw integration:
- Repository: https://github.com/yelanxin/hiresTI
- OpenClaw setup guide: https://github.com/yelanxin/hiresTI/blob/main/openclaw-mcp-guide-en.md
📖 Read the full source: r/openclaw
👀 See Also

OpenClaw's AWS Deployment: A Focus on Automation
OpenClaw's tool allows for one-click deployment to AWS, simplifying cloud operations for developers using AI coding agents.

Mengram adds persistent memory to OpenClaw agents
Mengram is an open-source memory system that gives OpenClaw agents long-term memory across sessions, solving the problem of agents forgetting everything when they restart. It provides episodic, entity, and procedural memory with smart archival of outdated facts.

Peek Plugin for Claude Code: Automatic Steering Through Session Memory
Peek is a Claude Code plugin that automatically captures and injects user corrections and preferences to steer the AI assistant. It uses fusion search with embeddings, BM25, time decay, and metadata filters to provide relevant context without manual prompting.

Local Voice Control Setup for AI Agents on Apple Silicon
Setup local voice control for AI agents using Parakeet STT and Kokoro TTS on Apple Silicon for fast and cloud-independent interactions.