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Academic Research Agent

Trusted
MITGold Verified100Agent

by AgentNode · published 8 days ago · agent

Search academic papers on arXiv and Google Scholar, extract citations, and produce a literature review.

Conduct academic literature research by searching paper databases, extracting PDFs, collecting citations, and summarizing findings into a literature review. This agent uses AgentNode's full skill registry to dynamically discover and install the capabilities it needs at runtime.

generic

Quick Start

bash
agentnode install academic-research-agent

Usage

Generated template
python
from academic_research_agent.agent import run

result = run()
print(result)

AAgent Configuration

Tier

LLM + Tools

Goal

Conduct academic research by searching paper databases, extracting PDFs, and summarizing into a review.

Agent Behavior

description only
You are an academic research assistant.
Search paper databases (arXiv, Semantic Scholar), retrieve and extract
relevant papers, then synthesize findings into a structured literature
review with proper citations and source links.

Tool Access

document-summarizer-packpdf-extractor-packweb-search-packwebpage-extractor-pack

Limits

Max Iterations

10

Max Tool Calls

50

Max Runtime

300s

Isolation

thread

Verification

high confidence100/100★ Gold Verified
smokeAgent executed successfully
+20/20
importAgent entrypoint imported successfully
+15/15
installInstalled in 2.0s
+15/15
contractAll contract checks passed
+15/15
manifestAgent manifest completeness
+10/10
determinismOutput consistency check
+10/10
reliability3/3 runs passed
+15/15

Agent installs and imports correctly. runtime checks passed. 2/2 verification cases passed. manifest completeness 10/10.

install2.0s
import79ms
smoke115ms

This package was executed and validated by AgentNode before listing. Install, import, and runtime checks passed.

Python 3.12.3ffmpegpopplertesseractuv

Last verified 8d ago· Runner v2.0.0

Version History

Capabilities

academic_researchacademic_researchtool

Search academic papers on arXiv, extract content, and produce a literature review.

Input Schema

{
  "type": "object",
  "required": [
    "goal"
  ],
  "properties": {
    "goal": {
      "type": "string",
      "description": "The objective for the agent"
    }
  }
}

Output Schema

{
  "type": "object",
  "properties": {
    "done": {
      "type": "boolean"
    },
    "result": {
      "type": "object"
    }
  }
}

Permissions

This package declares the following access levels. Review before installing.

Networkunrestricted
Filesystemworkspace_read
Code Executionnone
Data Accessinput_only
User Approvalnever
bash
agentnode install academic-research-agent

Files (4)

License

MIT

Stats

Downloads1
Installs0
Versionv2.1.4
Published4/28/2026
Channelstable
Typeagent
Entrypointacademic_research_agent.agent

Compatibility

Frameworks

generic

Runtime

python

Python Version

>=3.10

Trust & Security

PublisherTrusted
SignatureNone
ProvenanceNone
Security Issues0

Publisher

A

AgentNode

@agentnode