TravelPlanner AI Agent

by OSU-NLP-Group• 566•• Scanned•Claim this listing•Request removal
Data Science & MLautonomous agentslanguage agentlarge language modelsplanning

[ICML'24 Spotlight] "TravelPlanner: A Benchmark for Real-World Planning with Language Agents"

TravelPlanner is an open-source ai agent by OSU-NLP-Group, written mainly in Python, with 566 GitHub stars and the MIT license. Its code was last updated May 24, 2026.

Scan summary: scanned Nov 5, 2026 at commit e52c87f. Seen able to run dynamic code. Scan policy

Scanned
Full scan at e52c87f · Nov 5, 2026
Scanned Builds
Static code scanwarn
Secrets scanpass
Dependency audit134 known vulnerabilitiesfail
Manifestnonewarn
Buildpass
Boot & handshaken/a
Network egressn/a
Reproducible (×3)n/a

Findings (31)

  • high
    code-execution issue
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  • high
    code-execution issue
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  • high
    code-execution issue
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  • high
    code-execution issue
    Details are available to the maintainer after claiming this listing.
  • high
    code-execution issue
    Details are available to the maintainer after claiming this listing.
  • high
    code-execution issue
    Details are available to the maintainer after claiming this listing.
  • high
    code-execution issue
    Details are available to the maintainer after claiming this listing.
  • high
    code-execution issue
    Details are available to the maintainer after claiming this listing.
  • high
    code-execution issue
    Details are available to the maintainer after claiming this listing.
  • high
    code-execution issue
    Details are available to the maintainer after claiming this listing.
  • high
    code-execution issue
    Details are available to the maintainer after claiming this listing.
  • high
    code-execution issue
    Details are available to the maintainer after claiming this listing.
  • high
    code-execution issue
    Details are available to the maintainer after claiming this listing.
  • high
    code-execution issue
    Details are available to the maintainer after claiming this listing.
  • high
    code-execution issue
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  • high
    code-execution issue
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  • high
    code-execution issue
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  • high
    dependencies issue
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  • high
    dependencies issue
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  • high
    dependencies issue
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  • high
    dependencies issue
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  • high
    dependencies issue
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  • high
    dependencies issue
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  • medium
    gradio@6.9.0: 3 known vulnerabilities
    PYSEC-2026-211, PYSEC-2026-2178, PYSEC-2026-2179
    requirements.txt
  • medium
    langchain@0.1.4: 6 known vulnerabilities
    PYSEC-2024-118, PYSEC-2024-323, PYSEC-2024-43, PYSEC-2026-1507, PYSEC-2026-2192 +1 more
    requirements.txt
  • medium
    langsmith@0.0.87: 3 known vulnerabilities
    PYSEC-2026-2582, PYSEC-2026-2583, GHSA-f4xh-w4cj-qxq8
    requirements.txt
  • medium
    orjson@3.9.9: 2 known vulnerabilities
    PYSEC-2024-40, PYSEC-2026-107
    requirements.txt
  • medium
    protobuf@4.25.9: 1 known vulnerability
    PYSEC-2026-1805
    requirements.txt
  • medium
    starlette@0.52.1: 5 known vulnerabilities
    PYSEC-2026-161, PYSEC-2026-2280, PYSEC-2026-2281, PYSEC-2026-248, PYSEC-2026-249
    requirements.txt
  • low
    idna@3.9.0: 1 known vulnerability
    PYSEC-2026-215
    requirements.txt
  • low
    No manifest declaring network access and environment variables (agent.json)

Network activity

During install
files.pythonhosted.orgpypi.org
While running
Not run — the code wasn't started in this scan

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