Agentic AI Pipeline AI Agent
by hoangsonww🦾 A production‑ready research outreach AI agent that plans, discovers, reasons, uses tools, auto‑builds cited briefings, and drafts tailored emails with tool‑chaining, memory, tests, and turnkey Docker, AWS, Ansible & Terraform deploys. Bonus: An Agentic RAG System & a Coding Pipeline with multistep planning, self-critique, and autonomous agents.
Agentic AI Pipeline is an open-source ai agent by hoangsonww, written mainly in Python, with 86 GitHub stars and the Apache-2.0 license. Its code was last updated Sep 27, 2026.
Scan summary: scanned Nov 5, 2026 at commit 443716a. Seen able to connect to the internet. Scan policy
ScannedScanned. The automated checks below ran on the commit shown. Read each line for what was and was not covered.
Full scan at
443716a · Nov 5, 2026 ScannedStatic, secrets and dependency checks completed with no critical findings. BuildsIt installed from a fresh machine.
Warning. This check found something worth reading in the findings below. It is not proof of a problem.Static code scanwarnWarning. This check found something worth reading in the findings below. It is not proof of a problem.
Flagged. This check found an issue. See the findings below.Secrets scanfailFlagged. This check found an issue. See the findings below.
Flagged. This check found an issue. See the findings below.Dependency audit15 known vulnerabilitiesfailFlagged. This check found an issue. See the findings below.
Warning. This check found something worth reading in the findings below. It is not proof of a problem.ManifestnonewarnWarning. This check found something worth reading in the findings below. It is not proof of a problem.
Passed. This check ran and found nothing it flags.BuildpassPassed. This check ran and found nothing it flags.
Not applicable. This check does not apply to this kind of project, or it was not run in this scan.Boot & handshaken/aNot applicable. This check does not apply to this kind of project, or it was not run in this scan.
Warning. This check found something worth reading in the findings below. It is not proof of a problem.Network egresswarnWarning. This check found something worth reading in the findings below. It is not proof of a problem.
Not applicable. This check does not apply to this kind of project, or it was not run in this scan.Reproducible (Ă—3)n/aNot applicable. This check does not apply to this kind of project, or it was not run in this scan.
Findings (9)
- highHigh. Something risky that needs a close look before you install.secrets issueDetails are available to the maintainer after claiming this listing.
- highHigh. Something risky that needs a close look before you install.secrets issueDetails are available to the maintainer after claiming this listing.
- highHigh. Something risky that needs a close look before you install.dependencies issueDetails are available to the maintainer after claiming this listing.
- mediumMedium. Worth checking, often a vulnerable dependency or a setup problem.System.Text.Json@8.0.4: 1 known vulnerabilityGHSA-8g4q-xg66-9fp4
clients/dotnet/AgenticAI.Client.csproj - mediumMedium. Worth checking, often a vulnerable dependency or a setup problem.httpcore2@2.9.1: 1 known vulnerabilityPYSEC-2026-3844
requirements.txt - mediumMedium. Worth checking, often a vulnerable dependency or a setup problem.httpx2@2.9.1: 5 known vulnerabilitiesPYSEC-2026-3845, PYSEC-2026-3846, PYSEC-2026-3847, PYSEC-2026-3848, PYSEC-2026-3849
requirements.txt - mediumMedium. Worth checking, often a vulnerable dependency or a setup problem.oauthlib@3.3.1: 4 known vulnerabilitiesPYSEC-2026-4113, PYSEC-2026-4114, GHSA-3jp2-3mrg-2vxc, GHSA-7984-qgvg-3j9c
requirements.txt - mediumMedium. Worth checking, often a vulnerable dependency or a setup problem.Install contacted hosts other than package registriesreleases.astral.sh
- lowLow. Minor, or common in normal tools. Shown for information.No manifest declaring network access and environment variables (agent.json)
Network activity
During install
files.pythonhosted.orgpypi.orgreleases.astral.sh
While running
Not run — the code wasn't started in this scan
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