Ch1nfo

Ch1nfo / SentinelFlow

Public

AI-Native SOC automation platform. Multi-agent orchestration (LangGraph Supervisor + Worker SubGraphs), pluggable Skill system, and a React WebUI for alert triage and human-in-the-loop command execution.

10
0
100% credibility
Found Apr 07, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

SentinelFlow is a full-stack web platform that automates security operations center alert triage and response using AI agents, customizable skills, and workflows.

How It Works

1
🔍 Discover SentinelFlow

You hear about this helpful tool that automates security alert handling with smart AI helpers.

2
🚀 Launch your dashboard

Open the web app on your computer to see your security overview at a glance.

3
🧠 Connect the AI brain

Link a smart thinking service so agents can reason and decide on alerts.

4
📡 Set up alert watching

Tell it where to watch for new security alerts coming in.

5
🤖 Add your first helpers

Create simple skills or agents that know how to check IPs or close tickets automatically.

6
Handle an alert
💬
Chat naturally

Type what to do like 'check this IP and close if safe'.

🔄
Run workflow

Pick a step-by-step plan for common tasks like phishing checks.

7
✅ Review and close

See the reasoning, evidence, and results then approve the fix.

🎉 Alerts flow smoothly

Your security team saves hours as AI handles routine checks and escalates only what matters.

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Star Growth

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AI-Generated Review

What is SentinelFlow?

SentinelFlow is an AI-native SOC automation platform in Python that ingests security alerts, triages them with multi-agent reasoning, and executes responses through pluggable skills. It solves the alert overload in modern SOCs—where rules-based tools falter on novel threats—by routing JSON payloads or chat commands to a supervisor agent that delegates to workers, all viewable in a React web UI for triage and human-in-the-loop approval. Developers get a full-stack setup with one dev command spinning up FastAPI backend and Vite frontend.

Why is it gaining traction?

Its pluggable skills stand out: drop a markdown doc or Python script into a folder, and agents auto-discover and invoke them with per-agent permissions, no code restarts needed. The LangGraph-powered orchestration handles free-form ReAct or fixed workflows seamlessly, plus dual alert/chat entry points beat rigid SOAR playbooks. Early adopters hook on the unified CLI for backend/UI dev and production builds.

Who should use this?

SOC analysts building AI-native SOCs for digital native organizations, tired of manual triage on SIEM floods. Security engineers prototyping alert automation or command execution pipelines. Teams needing a React dashboard for human oversight on AI-driven investigations like IP enrichment or ticket closure.

Verdict

Try it for POC if you're experimenting with AI-native SOC analyst tools—solid docs and quickstart make it accessible despite 10 stars and 1.0% credibility score signaling early maturity. Lacks battle-tested scale, but the skill system and web UI deliver immediate value for small teams.

(198 words)

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