LoongFlow AI Agent

by baidu-baige• 481•• Scanned•Claim this listing•Request removal
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LoongFlow is an expert-grade Agent framework for Loop Engineering. Through a Plan-Execute-Summary loop and structured experiential memory, it enables AI to continuously think, execute, reflect, and evolve across complex software engineering, mathematical, and machine learning tasks.

LoongFlow is an open-source ai agent by baidu-baige, written mainly in Python, with 481 GitHub stars and the Apache-2.0 license. Its code was last updated Apr 9, 2026.

Scan summary: scanned Nov 5, 2026 at commit 945c78b. Seen able to run shell commands, connect to the internet. Scan policy

Scanned
Full scan at 945c78b · Nov 5, 2026
Scanned Builds
Static code scanwarn
Secrets scanpass
Dependency audit596 known vulnerabilitiesfail
Manifestnonewarn
Buildpass
Boot & handshaken/a
Network egresswarn
Reproducible (×3)n/a

Findings (82)

  • 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.
  • 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.
  • 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
    Turns off TLS certificate checking, allowing traffic interception.
    .claude/skills/code-analysis/scripts/security_scanner.py:176
  • medium
    Turns off TLS certificate checking, allowing traffic interception.
    .claude/skills/code-analysis/scripts/security_scanner.py:185
  • medium
    Runs shell commands. Fine for some tools, but it means the agent can run anything your user can.
    agents/math_agent/executor/execute_chat/execute_agent_chat.py:579
  • medium
    Runs shell commands. Fine for some tools, but it means the agent can run anything your user can.
    agents/math_agent/executor/execute_fuse/execute_agent_fuse.py:753
  • medium
    Runs shell commands. Fine for some tools, but it means the agent can run anything your user can.
    agents/ml_agent/evocoder/evocoder.py:319
  • medium
    Runs shell commands. Fine for some tools, but it means the agent can run anything your user can.
    src/loongflow/agentsdk/tools/shell_tool.py:204
  • medium
    accelerate@1.12.0: 2 known vulnerabilities
    PYSEC-2026-3804, PYSEC-2026-3804
    agents/ml_agent/examples/requirements_cpu.txt
  • medium
    hydra-core@1.3.2: 4 known vulnerabilities
    PYSEC-2026-3850, PYSEC-2026-4221, PYSEC-2026-3850, PYSEC-2026-4221
    agents/ml_agent/examples/requirements_cpu.txt
  • medium
    pyarrow@18.1.0: 2 known vulnerabilities
    PYSEC-2026-113, PYSEC-2026-113
    agents/ml_agent/examples/requirements_cpu.txt
  • medium
    pydicom@2.4.4: 2 known vulnerabilities
    PYSEC-2026-2266, PYSEC-2026-2266
    agents/ml_agent/examples/requirements_cpu.txt
  • medium
    pytorch-lightning@2.4.0: 4 known vulnerabilities
    PYSEC-2026-3043, PYSEC-2026-3967, PYSEC-2026-3043, PYSEC-2026-3967
    agents/ml_agent/examples/requirements_cpu.txt
  • medium
    cryptography@46.0.7: 4 known vulnerabilities
    PYSEC-2026-3552, PYSEC-2026-3553, PYSEC-2026-3554, GHSA-537c-gmf6-5ccf
    agents/ml_agent/examples/requirements_cpu.txt
  • medium
    fsspec@2024.9.0: 1 known vulnerability
    PYSEC-2026-4217
    agents/ml_agent/examples/requirements_cpu.txt
  • medium
    graphql-core@3.2.9: 2 known vulnerabilities
    GHSA-r77w-qph3-7vf8, GHSA-vj8h-fx38-h3vc
    agents/ml_agent/examples/requirements_cpu.txt
  • medium
    nbconvert@7.9.2: 4 known vulnerabilities
    PYSEC-2026-1691, PYSEC-2026-2229, PYSEC-2026-2230, GHSA-pjvx-prjx-h659
    agents/ml_agent/examples/requirements_cpu.txt
  • medium
    orjson@3.9.9: 2 known vulnerabilities
    PYSEC-2024-40, PYSEC-2026-107
    agents/ml_agent/examples/requirements_cpu.txt
  • medium
    pdfminer-six@20251107.0.0: 1 known vulnerability
    PYSEC-2026-1761
    agents/ml_agent/examples/requirements_cpu.txt
  • medium
    protobuf@4.25.9: 1 known vulnerability
    PYSEC-2026-1805
    agents/ml_agent/examples/requirements_cpu.txt
  • medium
    python-multipart@0.0.9: 8 known vulnerabilities
    PYSEC-2026-1851, PYSEC-2026-1852, PYSEC-2026-3036, PYSEC-2026-3037, PYSEC-2026-3038 +3 more
    agents/ml_agent/examples/requirements_cpu.txt
  • medium
    starlette@0.50.0: 5 known vulnerabilities
    PYSEC-2026-161, PYSEC-2026-2280, PYSEC-2026-2281, PYSEC-2026-248, PYSEC-2026-249
    agents/ml_agent/examples/requirements_cpu.txt
  • medium
    torch@2.9.1: 4 known vulnerabilities
    PYSEC-2026-139, PYSEC-2026-2286, GHSA-qfhq-4f3w-5fph, GHSA-rrmf-rvhw-rf47
    agents/ml_agent/examples/requirements_cpu.txt
  • medium
    fsspec@2025.9.0: 1 known vulnerability
    PYSEC-2026-4217
    uv.lock
  • medium
    mcp@1.25.0: 7 known vulnerabilities
    PYSEC-2026-3481, PYSEC-2026-3482, PYSEC-2026-3483, GHSA-5h93-6whr-6q8j, GHSA-84m7-p3x7-pcfv +2 more
    uv.lock
  • medium
    python-multipart@0.0.22: 6 known vulnerabilities
    PYSEC-2026-3036, PYSEC-2026-3037, PYSEC-2026-3038, PYSEC-2026-3039, PYSEC-2026-3040 +1 more
    uv.lock
  • medium
    starlette@0.52.1: 5 known vulnerabilities
    PYSEC-2026-161, PYSEC-2026-2280, PYSEC-2026-2281, PYSEC-2026-248, PYSEC-2026-249
    uv.lock
  • medium
    urllib3@2.6.3: 5 known vulnerabilities
    PYSEC-2026-141, PYSEC-2026-142, PYSEC-2026-4175, PYSEC-2026-4176, PYSEC-2026-4177
    uv.lock
  • medium
    Install contacted hosts other than package registries
    pypi.tuna.tsinghua.edu.cn, releases.astral.sh
  • low
    In tests/examples/docs: Deserializes data with pickle/marshal, which can execute code.
    agents/math_agent/examples/heilbronn_problem_for_convex_regions/eval_program.py:139
  • low
    In tests/examples/docs: Deserializes data with pickle/marshal, which can execute code.
    agents/math_agent/examples/heilbronn_problem_for_triangles/eval_program.py:134
  • low
    In tests/examples/docs: Executes dynamically built code (eval / exec).
    agents/math_agent/examples/math_flip/eval_program.py:92
  • low
    In tests/examples/docs: Executes dynamically built code (eval / exec).
    agents/math_agent/examples/math_flip/eval_program.py:131
  • low
    In tests/examples/docs: Deserializes data with pickle/marshal, which can execute code.
    agents/math_agent/examples/moe_lb/eval_program.py:120
  • low
    In tests/examples/docs: Deserializes data with pickle/marshal, which can execute code.
    agents/math_agent/examples/packing_circle_in_rectangle/eval_program.py:189
  • low
    In tests/examples/docs: Deserializes data with pickle/marshal, which can execute code.
    agents/ml_agent/examples/mlebench/competitions/hard/3d-object-detection-for-autonomous-vehicles/load_data.py:167
  • low
    In tests/examples/docs: Deserializes data with pickle/marshal, which can execute code.
    agents/ml_agent/examples/mlebench/competitions/hard/3d-object-detection-for-autonomous-vehicles/train_and_predict.py:299
  • low
    In tests/examples/docs: Deserializes data with pickle/marshal, which can execute code.
    agents/ml_agent/examples/mlebench/competitions/medium/facebook-recruiting-iii-keyword-extraction/ensemble.py:106
  • low
    In tests/examples/docs: Deserializes data with pickle/marshal, which can execute code.
    agents/ml_agent/examples/mlebench/competitions/medium/facebook-recruiting-iii-keyword-extraction/load_data.py:54
  • low
    In tests/examples/docs: Deserializes data with pickle/marshal, which can execute code.
    agents/ml_agent/examples/mlebench/competitions/medium/facebook-recruiting-iii-keyword-extraction/load_data.py:87
  • low
    In tests/examples/docs: Deserializes data with pickle/marshal, which can execute code.
    agents/ml_agent/examples/mlebench/competitions/medium/herbarium-2021-fgvc8/workflow.py:114
  • low
    In tests/examples/docs: Deserializes data with pickle/marshal, which can execute code.
    agents/ml_agent/examples/mlebench/competitions/medium/hotel-id-2021-fgvc8/ensemble.py:80
  • low
    In tests/examples/docs: Deserializes data with pickle/marshal, which can execute code.
    agents/ml_agent/examples/mlebench/competitions/medium/hotel-id-2021-fgvc8/train_and_predict.py:157
  • low
    In tests/examples/docs: Deserializes data with pickle/marshal, which can execute code.
    agents/ml_agent/examples/mlebench/competitions/medium/hotel-id-2021-fgvc8/train_and_predict.py:159
  • low
    In tests/examples/docs: Deserializes data with pickle/marshal, which can execute code.
    agents/ml_agent/examples/mlebench/competitions/medium/multi-modal-gesture-recognition/load_data.py:148
  • low
    In tests/examples/docs: Runs shell commands. Fine for some tools, but it means the agent can run anything your user can.
    agents/ml_agent/examples/mlebench/competitions/simple/spooky-author-identification/preprocess.py:47
  • low
    In tests/examples/docs: Deserializes data with pickle/marshal, which can execute code.
    agents/ml_agent/examples/mlebench/competitions/simple/text-normalization-challenge-english-language/train_and_predict.py:285
  • low
    Possible example credential in docs/tests: generic-api-key
    .claude/skills/code-analysis/README.md:138
  • low
    Possible example credential in docs/tests: generic-api-key
    .claude/skills/code-analysis/references/cwe_quick_reference.md:115
  • low
    Possible example credential in docs/tests: generic-api-key
    agents/general_agent/examples/03_bug_hunter/README.md:120
  • low
    bokeh@3.6.2: 2 known vulnerabilities
    PYSEC-2026-1223, PYSEC-2026-1223
    agents/ml_agent/examples/requirements_cpu.txt
  • low
    datasets@3.1.0: 2 known vulnerabilities
    PYSEC-2026-3716, PYSEC-2026-3716
    agents/ml_agent/examples/requirements_cpu.txt
  • low
    flask@3.1.2: 3 known vulnerabilities
    PYSEC-2026-2151, PYSEC-2026-2151, PYSEC-2026-2151
    agents/ml_agent/examples/requirements_cpu.txt
  • low
    pytest@9.0.2: 2 known vulnerabilities
    PYSEC-2026-1845, PYSEC-2026-1845
    agents/ml_agent/examples/requirements_cpu.txt
  • low
    python-dotenv@1.2.1: 3 known vulnerabilities
    PYSEC-2026-2270, PYSEC-2026-2270, PYSEC-2026-2270
    agents/ml_agent/examples/requirements_cpu.txt
  • low
    requests@2.32.5: 3 known vulnerabilities
    PYSEC-2026-2275, PYSEC-2026-2275, PYSEC-2026-2275
    agents/ml_agent/examples/requirements_cpu.txt
  • low
    filelock@3.20.3: 2 known vulnerabilities
    GHSA-69hj-f68j-2879, GHSA-8mx5-7m5m-r77g
    uv.lock
  • low
    idna@3.11: 1 known vulnerability
    PYSEC-2026-215
    uv.lock
  • low
    multidict@6.7.0: 1 known vulnerability
    PYSEC-2026-4244
    uv.lock
  • low
    pydantic-settings@2.12.0: 1 known vulnerability
    GHSA-4xgf-cpjx-pc3j
    uv.lock
  • low
    pygments@2.19.2: 1 known vulnerability
    PYSEC-2026-2987
    uv.lock
  • low
    pytest@8.4.2: 1 known vulnerability
    PYSEC-2026-1845
    uv.lock
  • low
    werkzeug@3.1.5: 2 known vulnerabilities
    PYSEC-2026-2320, PYSEC-2026-4312
    uv.lock
  • low
    No manifest declaring network access and environment variables (agent.json)

Network activity

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pypi.tuna.tsinghua.edu.cnreleases.astral.sh
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