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OneSearch-VL

A unified multimodal deep research agent for images and videos, with open models, datasets, and training and evaluation code.

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This is 1 of 79 launches in autonomous ai research agents — see how it stacks up on momentum and crowding →

1712 other launches read as similar to this one →

Details

External ID
1410334976
Source
GITHUB
Company
—
Product
OneSearch-VL
Website domain
github.com
Launched
Oct. 8, 2026
Cohort
—
Upvotes
19
Upvotes percentile
0.41
Tags
—

Enrichment

Niche
autonomous ai research agents
Vertical
Horizontal
Function
Search & retrieval
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
multimodal deep research agent for visual content
Manually corrected
False

Could you build this?

No Training and releasing an end-to-end multimodal deep research foundation agent for video/image search requires large-scale model training, novel benchmark datasets, and massive compute.

What it would actually take: Requires a distributed training infrastructure (PyTorch, DeepSpeed, Megatron) running across GPU clusters. Developing it demands novel multimodal architecture research, extensive synthetic and human-annotated video reasoning datasets, agentic tool-use reinforcement learning (RLHF/RLAIF), and automated evaluation pipelines.

Competitors

Other products that read as similar to this one — 1712 launches clear the similarity bar, closest 8 shown.

Attention rank: #980 of 1713 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 343 days after the earliest competitor.

Other launches for this product