Open Source Research Projects
Research is the systematic process of asking questions, gathering evidence, and developing or testing explanations. It helps people investigate complex problems, evaluate ideas, and produce findings that others can review and build on. Research spans many fields and methods, from analyzing datasets and running simulations to reviewing literature, designing experiments, and documenting results. Open tools can make these workflows more accessible, reproducible, and adaptable to different needs.
Open source research tools include data collection and analysis software, reference managers, simulation environments, collaboration platforms, and curated collections of papers, datasets, and methods. When choosing a tool, consider whether it is actively maintained, how its license fits your work, what skills and computing resources it requires, and whether it integrates with your existing workflow. These tools can support students, educators, independent researchers, and teams seeking transparent, reusable ways to conduct and share research.
6 repositories · updated October 4, 2026
AutoResearch: Turn Research Ideas into Reviewable Evidence
AutoResearch is a Python agent workflow for developing AI and machine learning research ideas into experiments and reviewable evidence. It suits researchers who want a traceable, resumable process and can configure model services and experiment resources.
AWESOME-OCR-LLM: Track OCR Research in the LLM Era
AWESOME-OCR-LLM is a curated reading list for OCR research shaped by large language and vision-language models. It helps researchers and practitioners follow work across document parsing, understanding, visual text generation, and evaluation.
feynman: Research Papers with an AI Agent
Feynman is a TypeScript CLI agent for investigating research topics, reviewing papers, and comparing sources. It suits researchers and developers who want structured, citation-aware literature work and can configure a model provider.
asta-paper-finder: Find Papers from Natural-Language Queries
PaperFinder is a single-query research agent that finds papers using content and metadata criteria, then judges and ranks results. This frozen evaluation release is suited to reproducing results or running the core workflow locally, rather than replacing the live service.
Kimi-k1.5: Train Multimodal LLMs with Reinforcement Learning
Kimi k1.5 is a research project describing reinforcement learning methods for training long-context, multimodal language models. It is aimed at researchers studying LLM reasoning and training, rather than users looking for a ready-to-install model.
RecDebiasing: Find Research on Recommendation Bias
RecDebiasing is a curated research index for recommendation-system debiasing, with papers, datasets, and links to available code. It is useful to researchers and practitioners surveying methods for particular sources of bias.