jd-opensource/JoyAI-VL-Interaction
JoyAI-VL-Interaction: An Open Real-time Video-Language Interaction System observed · 2026-08-28
Health v2 · maintenance only
58/100
- Activity 99
- Release rhythm 35
- Longevity 5
Flags: no_releases young
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 83
- days_rel: n/a
- days_push: 8
- n_releases_24m: 0
Adoption not part of the score
1806 stars · 180 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
JoyAI-VL-Interaction is an open 8B-scale vision-language interaction model with a complete deployable real-time streaming system, including the model weights, training recipe, time-aligned interaction dataset, and vLLM-based inference stack. It watches live video from a webcam or livestream and proactively speaks up in real time (sub-second latency) when a moment matters, rather than waiting to be asked.
Use cases
- build an always-present AI assistant that watches a live camera feed
- real-time video call assistant that reacts without being polled
- monitor a livestream and get proactive commentary on important moments
- self-host a vision-language model for streaming video understanding
- train or fine-tune a proactive video-language interaction model
- deploy a quantized 8B VLM with vLLM on CUDA GPUs
When to choose
- you need a fully open (weights, data, training recipe) real-time video-language model
- you want proactive, time-aware interaction rather than turn-based Q&A
- you need sub-second latency streaming inference on standard GPU infrastructure
- you want quantized checkpoints (INT4/INT8/FP8/NVFP4) for efficient deployment
When to avoid
- you only need offline video analysis or batch video captioning
- you lack CUDA GPUs or cannot run 8B-scale models
- you need a turn-based chatbot rather than a proactive streaming assistant
- you need a small model for edge or CPU-only devices
Facets
framework · maturity active
llm-inference machine-learning video-processing speech-recognition streaming rag artificial-intelligence large-language-models computer-vision deep-learning python cloud vision-language-model real-time-interaction vllm 8b-model proactive-ai streaming-video self-hosted-ai quantization video real-time gpu linux docker
2 sources
- readme: https://github.com/jd-opensource/JoyAI-VL-Interaction · fetched 2026-08-28 · 58c2392fb656
- homepage: https://joyai-vl-video-future-academy-jd.github.io/JoyAI-VL-Interaction/ · fetched 2026-08-29 · 39712938068e
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| jd-opensource/JoyAI-VL-Interaction | main | 58 |
For agents
markdown · JSON · MCP: product_card(name="jd-opensource/JoyAI-VL-Interaction")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem