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HKUDS/AI-Researcher
Open source Research-Agent Systems
Updated Sep 16, 2026
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Compared with 21 other Research-Agent Systems agents Open source Self-hostable Updated Sep 2026
Open Source
Updated Sep 2026
Self-hostable
Pricing
Open SourcePricing not publicly listed (open-source project).
Use cases
Automating hypothesis generation and experimental design for academic papers Generating draft manuscripts from research data Simulating peer review feedback for pre-submission refinement Reproducing research workflows with minimal manual intervention
Pros & cons
Pros
- Full open-source availability allows for customization and self-hosting
- End-to-end automation reduces researcher workload
- Integration with academic workflows (e.g., NeurIPS paper submission)
Cons
- May require technical expertise to deploy and customize
- Limited public documentation on real-world performance
- Potential challenges in handling highly domain-specific research
Overview
HKUDS/AI-Researcher is an open-source AI agent designed to automate the end-to-end research process, from hypothesis generation to manuscript preparation and peer review. It leverages AI to streamline scientific research workflows, reducing manual effort in experiment design and paper writing. The system is particularly focused on academic and scientific research automation.
Problem it solves
It eliminates the time-consuming manual tasks involved in conducting and documenting research, enabling faster iteration and publication of scientific work.
Target audience: Developers and teams working with research-agent systems automation.
Inputs
- User configuration
- API credentials (if required)
- Task parameters
Outputs
- Automated task results
- Status reports
- Generated content or actions
Example workflow
- 1 User configures the agent with required parameters
- 2 Agent receives input data or trigger
- 3 Agent processes the request using its core logic
- 4 Agent interacts with external services if needed
- 5 Results are returned to the user
Sample system prompt
You are HKUDS/AI-Researcher, an AI assistant. Help the user accomplish their task efficiently.
Tools & technologies
LLM APIs Python
Alternatives
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FAQs
- What is HKUDS/AI-Researcher?
- HKUDS/AI-Researcher is an open-source AI agent designed to automate the end-to-end research process, from hypothesis generation to manuscript preparation and peer review. It leverages AI to streamline scientific research workflows, reducing manual effort in experiment design and paper writing. The system is particularly focused on academic and scientific research automation.
- How much does HKUDS/AI-Researcher cost?
- HKUDS/AI-Researcher's pricing model is Open Source. Pricing not publicly listed (open-source project).
- What is HKUDS/AI-Researcher used for?
- HKUDS/AI-Researcher is used for: Automating hypothesis generation and experimental design for academic papers; Generating draft manuscripts from research data; Simulating peer review feedback for pre-submission refinement; Reproducing research workflows with minimal manual intervention.
- What are the best alternatives to HKUDS/AI-Researcher?
- HKUDS/AI-Researcher is a Research-Agent Systems AI agent. Compare it with the best alternatives — ranked by features, pricing, and use case — on our HKUDS/AI-Researcher alternatives page.
- Is HKUDS/AI-Researcher open source?
- Yes, HKUDS/AI-Researcher is open source.
- Can HKUDS/AI-Researcher be self-hosted?
- Yes, HKUDS/AI-Researcher can be self-hosted.
- What skill level is required to use HKUDS/AI-Researcher?
- HKUDS/AI-Researcher is designed for intermediate users.
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HKUDS/AI-Researcher