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💰 Open Source
🔄 Updated Feb 2026
💰 Pricing
Open SourcePricing not publicly listed (open-source).
🎯 Use Cases
Accelerating systematic literature reviews in medical research Identifying relevant studies for meta-analyses in social sciences Screening large volumes of papers for grant proposals Teaching systematic review methodologies in academic courses
⚖️ Pros & Cons
✅ Pros
- Drastically reduces time spent on manual screening
- Open-source nature allows for customization and transparency
- Active learning improves relevance ranking over time
❌ Cons
- Requires initial training with human-labeled data
- May miss niche studies if training data isn't comprehensive
- Still requires final human validation of results
Overview
ASReview is an open-source AI tool designed to assist researchers in conducting systematic literature reviews by automating the screening process of academic papers. It uses active learning to prioritize relevant studies, significantly reducing the manual workload.
Problem It Solves
It eliminates the time-consuming and error-prone task of manually screening thousands of academic papers for systematic reviews.
Target Audience: Developers and teams working with academia 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 ASReview, an AI assistant. Help the user accomplish their task efficiently.
Tools & Technologies
Not publicly specified
Alternatives
- • AutoGPT
- • LangChain Agents
- • CrewAI
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FAQs
- Is this agent open-source?
- Not publicly specified
- Can this agent be self-hosted?
- Not publicly specified
- What skill level is required?
- Intermediate
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