OmniAgent AI Agent

by HarryHsing• 84•• Scanned•Claim this listing•Request removal
Design & Mediaagentaudio visualicml2026llm agentlong video understanding

OmniAgent (ICML 2026): the first native omni-modal agent for active video perception — a 7B agent that beats Qwen2.5-VL-72B with 73% fewer frames on LVBench.

OmniAgent is an open-source ai agent by HarryHsing, written mainly in Python, with 84 GitHub stars and the Apache-2.0 license. Its code was last updated Sep 18, 2026.

Scan summary: scanned Nov 5, 2026 at commit 0ce93ec. Seen able to run shell commands, run dynamic code. Scan policy

Scanned
Full scan at 0ce93ec · Nov 5, 2026
Scanned Builds
Static code scanwarn
Secrets scanfail
Dependency audit207 known vulnerabilitiesfail
Manifestnonewarn
Buildpass
Boot & handshaken/a
Network egressn/a
Reproducible (×3)n/a

Findings (42)

  • 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
    secrets 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.
  • 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
    Runs shell commands. Fine for some tools, but it means the agent can run anything your user can.
    agent_system/environments/env_package/video_env.py:1623
  • medium
    Deserializes data with pickle/marshal, which can execute code.
    recipe/r1/data_process.py:117
  • medium
    Deserializes data with pickle/marshal, which can execute code.
    recipe/r1/tasks/livecodebench.py:63
  • medium
    Deserializes data with pickle/marshal, which can execute code.
    verl/protocol.py:288
  • medium
    Runs shell commands. Fine for some tools, but it means the agent can run anything your user can.
    verl/utils/hdfs_io.py:141
  • medium
    Deserializes data with pickle/marshal, which can execute code.
    verl/workers/rollout/sglang_rollout/utils.py:69
  • medium
    requests@2.9.2: 5 known vulnerabilities
    PYSEC-2018-28, PYSEC-2023-74, PYSEC-2026-1872, PYSEC-2026-1873, PYSEC-2026-2275
    docs/requirements-docs.txt
  • medium
    transformers@5.9.0: 1 known vulnerability
    PYSEC-2026-3929
    requirements-npu.txt
  • medium
    orjson@3.9.9: 4 known vulnerabilities
    PYSEC-2024-40, PYSEC-2026-107, PYSEC-2024-40, PYSEC-2026-107
    requirements-npu.txt
  • medium
    torch@2.9.1: 8 known vulnerabilities
    PYSEC-2026-139, PYSEC-2026-2286, GHSA-qfhq-4f3w-5fph, GHSA-rrmf-rvhw-rf47, PYSEC-2026-139 +3 more
    requirements-npu.txt
  • medium
    accelerate@1.8.1: 1 known vulnerability
    PYSEC-2026-3804
    requirements.txt
  • medium
    flash-attn@2.7.4.post1: 1 known vulnerability
    PYSEC-2026-2477
    requirements.txt
  • medium
    gradio@5.35.0: 7 known vulnerabilities
    PYSEC-2026-211, PYSEC-2026-2178, PYSEC-2026-2179, PYSEC-2026-63, PYSEC-2026-64 +2 more
    requirements.txt
  • medium
    hydra-core@1.3.2: 2 known vulnerabilities
    PYSEC-2026-3850, PYSEC-2026-4221
    requirements.txt
  • medium
    modelscope@1.18.1: 1 known vulnerability
    PYSEC-2026-2663
    requirements.txt
  • medium
    pyarrow@20.0.0: 1 known vulnerability
    PYSEC-2026-113
    requirements.txt
  • medium
    protobuf@4.25.9: 1 known vulnerability
    PYSEC-2026-1805
    requirements_sglang.txt
  • medium
    tqdm@4.9.0: 2 known vulnerabilities
    PYSEC-2017-74, PYSEC-2026-1976
    requirements_sglang.txt
  • medium
    virtualenv@21.9.1: 15 known vulnerabilities
    GHSA-394h-qwmc-48pf, GHSA-43mp-35q3-x3fq, GHSA-494p-63j8-28p3, GHSA-558c-9hv2-4prj, GHSA-5vjq-rrrf-7h2q +10 more
    requirements_sglang.txt
  • low
    idna@3.9.0: 2 known vulnerabilities
    PYSEC-2026-215, PYSEC-2026-215
    requirements-npu.txt
  • low
    datasets@3.2.0: 1 known vulnerability
    PYSEC-2026-3716
    requirements.txt
  • low
    python-dotenv@1.1.1: 1 known vulnerability
    PYSEC-2026-2270
    requirements.txt
  • low
    requests@2.32.4: 1 known vulnerability
    PYSEC-2026-2275
    requirements.txt
  • low
    filelock@3.19.1: 4 known vulnerabilities
    PYSEC-2026-1374, PYSEC-2026-1375, GHSA-69hj-f68j-2879, GHSA-8mx5-7m5m-r77g
    requirements_sglang.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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