GraphCanon updated Sep 19, 2026 · GitHub synced Sep 19, 2026
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Decision brief
Open-LLM-VTuber is designed for seamless voice interaction with large language models complemented by Live2D visuals running locally across platforms.
Good fit when
- When you require hands-free, voice-based interactions with LLMs that support real-time voice interruptions for a more natural conversation flow.
- For users who want to incorporate live visual companions via Live2D graphics to enhance the engagement and experience of AI conversational agents.
Avoid when
- If your use case demands fully cloud-based deployment without any local setup, as Open-LLM-VTuber requires running locally.
- In scenarios where real-time voice interruptions are not necessary or preferred over continuous speech input methods.
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (127d since push)
- As of Sep 19, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 19, 2026
- Security (OSV)
- 70 low (70 low)
- As of Jul 15, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install Open-LLM-VTuberSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Open-LLM-VTuber provides voice-based hands-free interactions with large language models, featuring real-time voice interruption support and integration with Live2D for visual companion effects.
Capability facts
- Languages
- python
Source: github.language+pyproject.toml · Sep 19, 2026
Categories
Tags
README
🚀 Quick Start Please refer to the Quick Start section in our documentation for installation.
For agents
This page has a .md twin and JSON over the API.