OPPO-PersonalAI/O-Researcher
Official Implementation of "O-Researcher: An Open Ended Deep Research Model via Multi-Agent Distillation and Agentic RL"
Repository profile
[SIGIR 2024 perspective] The implementation of paper "On Generative Agents in Recommendation"
Repository updates
Get generated LehengTHU/Agent4Rec development summaries by email, or follow the weekly and monthly RSS feeds.
Sign in to subscribe by email. RSS feeds are public.
Sign in to subscribeTracked growth, recent movement, and commit velocity from stored repository snapshots.
Latest capture 2026-07-16 03:06
6 captures since 2026-05-22
Stars from baseline +7
All tracked data
Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.
Scanned 2026-07-16 03:06
requirements.txt
python ecosystem,
199 dependencies
recommenders/setup.py
python ecosystem,
0 dependencies
Searchable topics, generated tags, and stack labels that explain where this repository fits.
Agent instructions and tool configuration paths found in the repository tree.
Nearest indexed repositories by embedding similarity.
Official Implementation of "O-Researcher: An Open Ended Deep Research Model via Multi-Agent Distillation and Agentic RL"
AI agents running research on single-GPU nanochat training automatically
[ICLR 2026] LLM/VLM gaming agents and model evaluation through games.
[EMNLP'25] s3 - ⚡ Efficient & Effective Search Agent Training via RL for RAG (RLVR for Search with Minimal Data)
Agent S: an open agentic framework that uses computers like a human
A simple yet powerful agent framework that delivers with open-source models