MCG-NJU/OneStreamer
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OneStreamer: Unifying Perception, Memory, and Proactive Response in Streaming Video Interaction
About the project
OneStreamer is a streaming video LLM built on Qwen3-VL-4B that keeps textual memory of past events and decides when enough evidence has accumulated to respond. It targets online perception, memory, and proactive response over video streams.
Useful for
- Run the model on a video stream to answer questions proactively as frames arrive
- Build a pipeline with PHCM to keep textual event captions instead of full visual history
- Train a model on the OneStreamer-1M dataset for streaming video QA tasks
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Star growth looks organic. Data as of October 3, 2026, 04:01 UTC.
The star-growth assessment does not verify whether the project is safe to run.
Stars per day
Bars show daily stars; the line is a moving average of the available history. Short histories do not yet establish a reliable usual pace. Red marks spike days.
Why it’s trending
- 0 stars so far today, about 37 expected by the end of the day.
- The spike has held for 2 days in a row — not a one-off blip.
- The repository is 3 days old and already has 56 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #193.
Three GitHub discoveries every day
What they do, why they are gaining interest, and what to check before using them.
Numbers
- Total stars
- 56
- Today
- 0 · ≈ 37 by evening
- Forks
- 2
- Issues and pull requests
- 1
- Watchers
- 2
- Language
- Python
- License
- Apache-2.0
- Created
- September 30, 2026
- Last push
- October 2, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- October 3, 2026Top new repositories this week: #193