<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Langgraph on Noureddine RAMDI</title><link>https://ramdi.fr/tags/langgraph/</link><description>Recent content in Langgraph on Noureddine RAMDI</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 23 May 2026 20:41:27 +0000</lastBuildDate><atom:link href="https://ramdi.fr/tags/langgraph/index.xml" rel="self" type="application/rss+xml"/><item><title>OASIS: a Python CLI for AI-driven code vulnerability scanning with deterministic validation</title><link>https://ramdi.fr/github-stars/oasis-a-python-cli-for-ai-driven-code-vulnerability-scanning-with-deterministic-validation/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/oasis-a-python-cli-for-ai-driven-code-vulnerability-scanning-with-deterministic-validation/</guid><description>OASIS is a Python CLI security auditor using LangGraph-orchestrated LLMs for two-phase scanning and deterministic validation of code vulnerabilities. It balances AI insights with guardrails to reduce false positives.</description></item><item><title>DATAGEN: a LangGraph multi-agent framework for automated data analysis workflows</title><link>https://ramdi.fr/github-stars/datagen-a-langgraph-multi-agent-framework-for-automated-data-analysis-workflows/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/datagen-a-langgraph-multi-agent-framework-for-automated-data-analysis-workflows/</guid><description>DATAGEN orchestrates eight specialized AI agents using LangGraph to automate data analysis workflows with progressive disclosure and multi-LLM provider support.</description></item><item><title>watchtower: langgraph orchestration for automated pentesting workflows</title><link>https://ramdi.fr/github-stars/watchtower-langgraph-orchestration-for-automated-pentesting-workflows/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/watchtower-langgraph-orchestration-for-automated-pentesting-workflows/</guid><description>Watchtower orchestrates 23 security tools via a LangGraph multi-agent system for automated pentesting. It uses a Planner-Worker-Analyst pattern, SQLite state, and supports multiple LLM providers.</description></item><item><title>TradingAgents: a multi-agent LLM framework simulating real-world trading firm dynamics</title><link>https://ramdi.fr/github-stars/tradingagents-a-multi-agent-llm-framework-simulating-real-world-trading-firm-dynamics/</link><pubDate>Sat, 02 May 2026 07:48:10 +0000</pubDate><guid>https://ramdi.fr/github-stars/tradingagents-a-multi-agent-llm-framework-simulating-real-world-trading-firm-dynamics/</guid><description>TradingAgents uses specialized LLM agents in a structured bull/bear debate to mimic real trading firms. Supports 10+ LLMs, persistent memory, and CLI/Docker usage.</description></item></channel></rss>