Video by Hugging Face via YouTube
Tau is a minimalist coding-agent harness inspired by Pi and implemented in Python. This crash course tours its Textual TUI, provider login and model selection, tree-structured sessions, skills, custom prompts, themes, extensions, and the architectural differences between Tau and Pi.
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🔗 *Links*
– Tau website and documentation: https://twotimespi.dev/
– Tau on GitHub: https://github.com/huggingface/tau
– Pi coding agent: https://pi.dev/
– Textual: https://textual.textualize.io/
– Hugging Face Inference Providers: https://huggingface.co/docs/inference-providers/
– Tau subagents extension by Rian Dolphin: https://github.com/rian-dolphin/tau-subagents
– cmux terminal: https://cmux.com/
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👋 *Connect with me*
– My website: https://alejandro-ao.com/
– X (Twitter): https://x.com/_alejandroao
– LinkedIn: https://www.linkedin.com/in/alejandro-ao/
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🤓 *Topics Covered*
– Tau coding agent architecture and Python implementation
– TUI, models, sessions, skills, prompts, and themes
– Tau versus Pi and extension compatibility
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⏱️ *Timestamps*
0:00 Introduction
0:58 Tau TUI Tour
4:15 Log In to Model Providers
5:03 Select and Use a Model
6:36 Rename a Session
7:00 Resume Sessions
8:19 Session Trees and Branching
11:44 Export and Analyze Sessions
15:14 Export Sessions as JSONL
15:45 Skills
19:14 Custom Prompts
20:59 Themes
22:01 Tau vs Pi
