AlgoTune AI Agent

by oripress• 119•• Scanned•Claim this listing•Request removal
Othercode agentcode generationcode optimizationllm agentllm benchmarking

AlgoTune is a NeurIPS 2025 benchmark made up of 154 math, physics, and computer science problems. The goal is write code that solves each problem, and is faster than existing implementations.

AlgoTune is an open-source ai agent by oripress, written mainly in Python, with 119 GitHub stars and the MIT license. Its code was last updated Jun 24, 2026.

Scan summary: scanned Nov 5, 2026 at commit dff9914. Seen able to run shell commands, run dynamic code, connect to the internet. Scan policy

Scanned
Full scan at dff9914 · Nov 5, 2026
Scanned Builds
Static code scanwarn
Secrets scanpass
Dependency audit179 known vulnerabilitiesfail
Manifestnonewarn
Buildpass
Boot & handshaken/a
Network egressn/a
Reproducible (×3)n/a

Findings (31)

  • high
    dependencies issue
    Details are available to the maintainer after claiming this listing.
  • high
    dependencies issue
    Details are available to the maintainer after claiming this listing.
  • high
    dependencies issue
    Details are available to the maintainer after claiming this listing.
  • high
    dependencies issue
    Details are available to the maintainer after claiming this listing.
  • high
    dependencies issue
    Details are available to the maintainer after claiming this listing.
  • high
    dependencies issue
    Details are available to the maintainer after claiming this listing.
  • medium
    Deserializes data with pickle/marshal, which can execute code.
    AlgoTuner/utils/isolated_benchmark.py:673
  • medium
    Deserializes data with pickle/marshal, which can execute code.
    AlgoTuner/utils/isolated_benchmark.py:674
  • medium
    Deserializes data with pickle/marshal, which can execute code.
    AlgoTuner/utils/isolated_benchmark.py:1471
  • medium
    Deserializes data with pickle/marshal, which can execute code.
    AlgoTuner/utils/isolated_benchmark.py:1902
  • medium
    Deserializes data with pickle/marshal, which can execute code.
    AlgoTuner/utils/k_search.py:56
  • medium
    Deserializes data with pickle/marshal, which can execute code.
    AlgoTuner/utils/memory_leak_patch.py:161
  • medium
    Deserializes data with pickle/marshal, which can execute code.
    AlgoTuner/utils/resource_manager.py:164
  • medium
    Runs shell commands. Fine for some tools, but it means the agent can run anything your user can.
    aws/monitor_jobs.py:33
  • medium
    Contacts a hard-coded IP address instead of a domain name.
    scripts/publish_datasets_hf.py:76
  • medium
    Contacts a hard-coded IP address instead of a domain name.
    scripts/publish_datasets_hf_parallel.py:76
  • medium
    fsspec@2025.5.1: 1 known vulnerability
    PYSEC-2026-4217
    requirements.txt
  • medium
    httplib2@0.22.0: 1 known vulnerability
    PYSEC-2026-3444
    requirements.txt
  • medium
    orjson@3.10.18: 1 known vulnerability
    PYSEC-2026-107
    requirements.txt
  • medium
    protobuf@5.29.5: 1 known vulnerability
    PYSEC-2026-1805
    requirements.txt
  • medium
    pyasn1@0.6.1: 9 known vulnerabilities
    PYSEC-2026-1810, PYSEC-2026-2263, PYSEC-2026-3455, PYSEC-2026-3456, PYSEC-2026-3457 +4 more
    requirements.txt
  • medium
    torch@2.7.0: 14 known vulnerabilities
    PYSEC-2025-203, PYSEC-2025-204, PYSEC-2025-205, PYSEC-2025-206, PYSEC-2025-207 +9 more
    requirements.txt
  • medium
    urllib3@2.4.0: 8 known vulnerabilities
    PYSEC-2026-141, PYSEC-2026-1994, PYSEC-2026-1996, PYSEC-2026-1997, PYSEC-2026-1998 +3 more
    requirements.txt
  • medium
    wheel@0.45.1: 1 known vulnerability
    PYSEC-2026-2047
    requirements.txt
  • low
    filelock@3.18.0: 4 known vulnerabilities
    PYSEC-2026-1374, PYSEC-2026-1375, GHSA-69hj-f68j-2879, GHSA-8mx5-7m5m-r77g
    requirements.txt
  • low
    idna@3.10: 1 known vulnerability
    PYSEC-2026-215
    requirements.txt
  • low
    pylint@3.3.7: 1 known vulnerability
    GHSA-22qq-2fwx-7p67
    requirements.txt
  • low
    python-dotenv@1.1.0: 1 known vulnerability
    PYSEC-2026-2270
    requirements.txt
  • low
    requests@2.32.3: 2 known vulnerabilities
    PYSEC-2026-1872, PYSEC-2026-2275
    requirements.txt
  • low
    setuptools@80.9.0: 2 known vulnerabilities
    PYSEC-2026-3447, GHSA-xmj3-9gf7-h52w
    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

Automated result for the commit shown. See our scan policy. View the scan log

Maintainers can claim the listing to rescan, or dispute a result.

AlgoTune alternatives

View more →

Similar ai agents in Other, ranked by GitHub stars. Compare licence, recent activity and scan status before you choose.

NameStarsLicenceLast updatedScan
AlgoTune (this page)
oripress
119MITJun 24, 2026Scanned, no flagged issues
Hermes Desktop
fathah
15kMITOct 13, 2026Scanned, no flagged issues
CubeSandbox
TencentCloud
13kNone foundNov 1, 2026Not scanned yet
Openchamber
openchamber
12kMITNov 1, 2026Scanned, no flagged issues
Open Swe
langchain-ai
11kMITNov 1, 2026Scanned, no flagged issues
Moltworker
cloudflare
9.9kApache-2.0May 9, 2026Scanned, no flagged issues