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openags/Auto-Research

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 Source

Pricing not publicly listed.

Use cases

Automating literature reviews for academic papers Generating and testing research hypotheses Drafting structured research manuscripts Simulating peer-review feedback for pre-submission refinement

Pros & cons

Pros

  • Open-source and self-hostable for full control
  • Covers end-to-end research processes
  • Modular design allows customization of agent workflows

Cons

  • Requires technical expertise to deploy and configure
  • Limited documentation or community support compared to commercial tools
  • May need fine-tuning for domain-specific research tasks

Overview

openags/Auto-Research is an open-source AI agent system designed to automate and orchestrate the entire research lifecycle, including literature review, hypothesis generation, experimental design, manuscript drafting, and peer review simulation. It leverages multiple AI agents to streamline academic and scientific research workflows.

Problem it solves

It reduces the time and effort required for systematic research tasks by automating repetitive processes and coordinating multi-agent collaboration.

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. 1 User configures the agent with required parameters
  2. 2 Agent receives input data or trigger
  3. 3 Agent processes the request using its core logic
  4. 4 Agent interacts with external services if needed
  5. 5 Results are returned to the user

Sample system prompt 


              You are openags/Auto-Research, an AI assistant. Help the user accomplish their task efficiently.

Tools & technologies

LLM APIs Python

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FAQs

What is openags/Auto-Research?
openags/Auto-Research is an open-source AI agent system designed to automate and orchestrate the entire research lifecycle, including literature review, hypothesis generation, experimental design, manuscript drafting, and peer review simulation. It leverages multiple AI agents to streamline academic and scientific research workflows.
How much does openags/Auto-Research cost?
openags/Auto-Research's pricing model is Open Source. Pricing not publicly listed.
What is openags/Auto-Research used for?
openags/Auto-Research is used for: Automating literature reviews for academic papers; Generating and testing research hypotheses; Drafting structured research manuscripts; Simulating peer-review feedback for pre-submission refinement.
What are the best alternatives to openags/Auto-Research?
openags/Auto-Research is a Research-Agent Systems AI agent. Compare it with the best alternatives — ranked by features, pricing, and use case — on our openags/Auto-Research alternatives page.
Is openags/Auto-Research open source?
Yes, openags/Auto-Research is open source.
Can openags/Auto-Research be self-hosted?
Yes, openags/Auto-Research can be self-hosted.
What skill level is required to use openags/Auto-Research?
openags/Auto-Research is designed for intermediate users.

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