AReaL AI Agent

by areal-project• 5.9k•• Scanned•Claim this listing•Request removal
Learning Resourcesagentllmllm agentllm reasoningmachine learning systems

The RL Bridge for LLM-based Agent Applications. Made Simple & Flexible.

AReaL is an open-source ai agent by areal-project, written mainly in Python, with 5,889 GitHub stars and the Apache-2.0 license. Its code was last updated Oct 31, 2026.

Scan summary: scanned Nov 5, 2026 at commit 9531722. Seen able to run shell commands, run dynamic code. Scan policy

Scanned
Full scan at 9531722 · Nov 5, 2026
Scanned Builds
Static code scanwarn
Secrets scanpass
Dependency audit471 known vulnerabilitiesfail
Manifestnonewarn
Buildpass
Boot & handshaken/a
Network egressn/a
Reproducible (×3)n/a

Findings (80)

  • 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
    Deserializes data with pickle/marshal, which can execute code.
    areal/infra/data_service/worker/app.py:268
  • medium
    Runs shell commands. Fine for some tools, but it means the agent can run anything your user can.
    areal/infra/utils/launcher.py:324
  • medium
    Runs shell commands. Fine for some tools, but it means the agent can run anything your user can.
    areal/infra/utils/proc.py:179
  • medium
    Deserializes data with pickle/marshal, which can execute code.
    areal/utils/recover.py:131
  • medium
    httpcore2@2.9.1: 1 known vulnerability
    PYSEC-2026-3844
    examples/search_agent/tongyi_deepresearch/requirements.txt
  • medium
    httpx2@2.9.1: 5 known vulnerabilities
    PYSEC-2026-3845, PYSEC-2026-3846, PYSEC-2026-3847, PYSEC-2026-3848, PYSEC-2026-3849
    examples/search_agent/tongyi_deepresearch/requirements.txt
  • medium
    hydra-core@1.4.0.dev1: 4 known vulnerabilities
    PYSEC-2026-4221, PYSEC-2026-4223, PYSEC-2026-4221, PYSEC-2026-4223
    requirements-rocm.txt
  • medium
    transformers@5.3.0: 6 known vulnerabilities
    PYSEC-2026-3929, PYSEC-2026-4174, GHSA-fgcw-684q-jj6r, PYSEC-2026-3929, PYSEC-2026-4174 +1 more
    requirements-rocm.txt
  • medium
    accelerate@1.13.0: 1 known vulnerability
    PYSEC-2026-3804
    uv.lock
  • medium
    aiohttp@3.13.5: 22 known vulnerabilities
    PYSEC-2026-2104, PYSEC-2026-2105, PYSEC-2026-2106, PYSEC-2026-2107, PYSEC-2026-2108 +17 more
    uv.lock
  • medium
    aiohttp@3.14.3: 8 known vulnerabilities
    GHSA-2g87-pp6c-29x5, GHSA-494j-54xm-rwp3, GHSA-5wr8-gcqf-gqf3, GHSA-6cjc-53gc-5rqm, GHSA-9xw5-w5jj-pvcg +3 more
    uv.lock
  • medium
    cryptography@43.0.3: 6 known vulnerabilities
    PYSEC-2026-1284, PYSEC-2026-2141, PYSEC-2026-35, PYSEC-2026-3553, PYSEC-2026-3554 +1 more
    uv.lock
  • medium
    diffusers@0.37.1: 3 known vulnerabilities
    PYSEC-2026-2446, PYSEC-2026-40, PYSEC-2026-41
    uv.lock
  • medium
    dnspython@2.8.0: 1 known vulnerability
    GHSA-45c3-73f7-pv4m
    uv.lock
  • medium
    dulwich@0.25.2: 10 known vulnerabilities
    PYSEC-2026-2462, PYSEC-2026-2463, PYSEC-2026-2464, PYSEC-2026-2465, PYSEC-2026-2466 +5 more
    uv.lock
  • medium
    filelock@3.29.0: 9 known vulnerabilities
    GHSA-567q-5qvw-pf92, GHSA-69hj-f68j-2879, GHSA-8mx5-7m5m-r77g, GHSA-9vhv-jxww-xfm5, GHSA-cwqr-hh33-gh44 +4 more
    uv.lock
  • medium
    fsspec@2026.2.0: 1 known vulnerability
    PYSEC-2026-4217
    uv.lock
  • medium
    gradio@6.13.0: 3 known vulnerabilities
    PYSEC-2026-211, PYSEC-2026-2178, PYSEC-2026-2179
    uv.lock
  • medium
    graphql-core@3.2.8: 2 known vulnerabilities
    GHSA-r77w-qph3-7vf8, GHSA-vj8h-fx38-h3vc
    uv.lock
  • medium
    langchain-core@1.3.2: 1 known vulnerability
    PYSEC-2026-2564
    uv.lock
  • medium
    langgraph-sdk@0.3.6: 2 known vulnerabilities
    PYSEC-2026-2575, PYSEC-2026-4240
    uv.lock
  • medium
    langsmith@0.7.38: 2 known vulnerabilities
    PYSEC-2026-2582, GHSA-f4xh-w4cj-qxq8
    uv.lock
  • medium
    mcp@1.26.0: 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
    msgpack@1.1.2: 2 known vulnerabilities
    PYSEC-2026-3625, GHSA-j586-36cw-2gc2
    uv.lock
  • medium
    oauthlib@3.3.1: 4 known vulnerabilities
    PYSEC-2026-4113, PYSEC-2026-4114, GHSA-3jp2-3mrg-2vxc, GHSA-7984-qgvg-3j9c
    uv.lock
  • medium
    orjson@3.10.15: 1 known vulnerability
    PYSEC-2026-107
    uv.lock
  • medium
    pyasn1@0.6.3: 7 known vulnerabilities
    PYSEC-2026-3455, PYSEC-2026-3456, PYSEC-2026-3457, GHSA-2qm8-x737-gmw5, GHSA-9m75-vc3g-4x39 +2 more
    uv.lock
  • medium
    pyjwt@2.14.0: 2 known vulnerabilities
    PYSEC-2026-4141, PYSEC-2026-4183
    uv.lock
  • medium
    python-multipart@0.0.20: 7 known vulnerabilities
    PYSEC-2026-1852, PYSEC-2026-3036, PYSEC-2026-3037, PYSEC-2026-3038, PYSEC-2026-3039 +2 more
    uv.lock
  • medium
    ray@2.55.1: 1 known vulnerability
    PYSEC-2026-2273
    uv.lock
  • medium
    sh@2.2.2: 1 known vulnerability
    PYSEC-2026-3540
    uv.lock
  • medium
    soupsieve@2.8.3: 4 known vulnerabilities
    PYSEC-2026-3071, PYSEC-2026-3072, PYSEC-2026-4170, PYSEC-2026-4171
    uv.lock
  • medium
    sqlparse@0.5.5: 5 known vulnerabilities
    PYSEC-2026-3696, PYSEC-2026-3697, PYSEC-2026-3698, PYSEC-2026-3699, PYSEC-2026-3923
    uv.lock
  • medium
    starlette@0.50.0: 5 known vulnerabilities
    PYSEC-2026-161, PYSEC-2026-2280, PYSEC-2026-2281, PYSEC-2026-248, PYSEC-2026-249
    uv.lock
  • medium
    torch@2.10.0: 2 known vulnerabilities
    PYSEC-2026-139, GHSA-rrmf-rvhw-rf47
    uv.lock
  • medium
    torch@2.9.0: 5 known vulnerabilities
    PYSEC-2026-139, PYSEC-2026-2286, GHSA-qfhq-4f3w-5fph, GHSA-rrmf-rvhw-rf47, GHSA-vgrw-7cvw-pwgx
    uv.lock
  • medium
    torch@2.9.1+cu129: 4 known vulnerabilities
    PYSEC-2026-139, PYSEC-2026-2286, GHSA-qfhq-4f3w-5fph, GHSA-rrmf-rvhw-rf47
    uv.lock
  • medium
    tornado@6.5.5: 13 known vulnerabilities
    PYSEC-2026-3387, PYSEC-2026-3388, PYSEC-2026-3389, PYSEC-2026-3928, GHSA-3hv7-mjh2-fv65 +8 more
    uv.lock
  • medium
    ujson@5.12.0: 2 known vulnerabilities
    PYSEC-2026-2293, PYSEC-2026-2294
    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
    virtualenv@21.3.0: 19 known vulnerabilities
    PYSEC-2026-4011, PYSEC-2026-4012, PYSEC-2026-4013, PYSEC-2026-4014, GHSA-394h-qwmc-48pf +14 more
    uv.lock
  • low
    In tests/examples/docs: Executes dynamically built code (eval / exec).
    examples/tir/tools/calculator_tool.py:64
  • low
    Possible example credential in docs/tests: curl-auth-header
    examples/experimental/inference_service/README.md:174
  • low
    Possible example credential in docs/tests: curl-auth-header
    docs/en/best_practices/cli_guide.md:254
  • low
    Possible example credential in docs/tests: curl-auth-header
    docs/en/tutorial/online_proxy.md:112
  • low
    Possible example credential in docs/tests: curl-auth-header
    docs/zh/best_practices/cli_guide.md:228
  • low
    Possible example credential in docs/tests: curl-auth-header
    examples/agent_service/README.md:43
  • low
    Possible example credential in docs/tests: curl-auth-header
    docs/zh/tutorial/online_proxy.md:105
  • low
    Possible example credential in docs/tests: generic-api-key
    tests/test_async_reward_wrapper.py:55
  • low
    diskcache@5.6.3: 2 known vulnerabilities
    PYSEC-2026-2447, PYSEC-2026-2447
    requirements-rocm.txt
  • low
    setuptools@80.10.2: 2 known vulnerabilities
    PYSEC-2026-3447, GHSA-xmj3-9gf7-h52w
    requirements-rocm.txt
  • low
    datasets@4.8.5: 1 known vulnerability
    PYSEC-2026-3716
    uv.lock
  • low
    fastapi-sso@0.16.0: 1 known vulnerability
    PYSEC-2026-1362
    uv.lock
  • low
    idna@3.13: 1 known vulnerability
    PYSEC-2026-215
    uv.lock
  • low
    langchain@1.2.15: 1 known vulnerability
    PYSEC-2026-2192
    uv.lock
  • low
    langgraph-checkpoint@4.0.3: 1 known vulnerability
    PYSEC-2026-2573
    uv.lock
  • low
    mako@1.3.12: 1 known vulnerability
    PYSEC-2026-4243
    uv.lock
  • low
    multidict@6.7.1: 1 known vulnerability
    PYSEC-2026-4244
    uv.lock
  • low
    opentelemetry-api@1.41.1: 1 known vulnerability
    GHSA-xcq7-p3pf-p88h
    uv.lock
  • low
    pydantic-settings@2.14.0: 1 known vulnerability
    GHSA-4xgf-cpjx-pc3j
    uv.lock
  • low
    python-dotenv@1.0.1: 1 known vulnerability
    PYSEC-2026-2270
    uv.lock
  • low
    setuptools@82.0.1: 2 known vulnerabilities
    PYSEC-2026-3447, GHSA-xmj3-9gf7-h52w
    uv.lock
  • low
    werkzeug@3.1.8: 1 known vulnerability
    PYSEC-2026-4312
    uv.lock
  • 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.

AReaL alternatives

View more →

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

NameStarsLicenceLast updatedScan
AReaL (this page)
areal-project
5.9kApache-2.0Oct 31, 2026Scanned, no flagged issues
Prompt Engineering Guide
dair-ai
80kMITMar 11, 2026Scanned, no flagged issues
Learn Claude Code
shareAI-lab
80kMITOct 27, 2026Scanned, no flagged issues
AI Engineering From Scratch
rohitg00
76kMITOct 29, 2026Scanned, no flagged issues
Front End Checklist
thedaviddias
75kMITOct 31, 2026Scanned, no flagged issues
System Prompts Leaks
asgeirtj
71kCC0-1.0Nov 1, 2026Scanned, no flagged issues