Agentic-Ai on Noureddine RAMDIhttps://ramdi.fr/tags/agentic-ai/Recent content in Agentic-Ai on Noureddine RAMDIHugoenSat, 23 May 2026 20:41:27 +0000npcpy: enforcing AI behavioral compliance through architecture for multimodal LLM appshttps://ramdi.fr/github-stars/npcpy-enforcing-ai-behavioral-compliance-through-architecture-for-multimodal-llm-apps/Sat, 23 May 2026 20:41:14 +0000https://ramdi.fr/github-stars/npcpy-enforcing-ai-behavioral-compliance-through-architecture-for-multimodal-llm-apps/npcpy offers a unique NPC Context-Agent-Tool data layer to enforce AI compliance via software architecture, supporting multimodal LLM apps and multi-agent systems with local and cloud providers.MedRAX: orchestrating specialized AI tools for chest X-ray analysis with dynamic routinghttps://ramdi.fr/github-stars/medrax-orchestrating-specialized-ai-tools-for-chest-x-ray-analysis-with-dynamic-routing/Tue, 05 May 2026 16:46:42 +0000https://ramdi.fr/github-stars/medrax-orchestrating-specialized-ai-tools-for-chest-x-ray-analysis-with-dynamic-routing/MedRAX uses GPT-4o to dynamically route medical queries across multiple AI models for chest X-ray interpretation. It offers modular, tool-agnostic orchestration with a Gradio interface.Open Deep Research: A Next.js 16 agentic AI assistant for iterative web researchhttps://ramdi.fr/github-stars/open-deep-research-a-next-js-16-agentic-ai-assistant-for-iterative-web-research/Tue, 05 May 2026 16:46:42 +0000https://ramdi.fr/github-stars/open-deep-research-a-next-js-16-agentic-ai-assistant-for-iterative-web-research/Open Deep Research is a TypeScript Next.js 16 app that uses an LLM to plan, execute, and iterate web research via Exa and Upstash QStash, producing sourced reports with images.Machine-Learning-Interviews: a structured guide for FAANG ML interview prep with agentic AI focushttps://ramdi.fr/github-stars/machine-learning-interviews-a-structured-guide-for-faang-ml-interview-prep-with-agentic-ai-focus/Tue, 05 May 2026 13:37:39 +0000https://ramdi.fr/github-stars/machine-learning-interviews-a-structured-guide-for-faang-ml-interview-prep-with-agentic-ai-focus/A curated Jupyter notebook guide for machine learning interview prep at FAANG companies, covering coding, system design, and agentic AI systems added in 2025.MLE-Agent: Autonomous LLM agents for end-to-end ML workflow automationhttps://ramdi.fr/github-stars/mle-agent-autonomous-llm-agents-for-end-to-end-ml-workflow-automation/Mon, 04 May 2026 10:23:02 +0000https://ramdi.fr/github-stars/mle-agent-autonomous-llm-agents-for-end-to-end-ml-workflow-automation/MLE-Agent is a Python LLM agent framework that automates ML workflows, including autonomous Kaggle competitions and smart debugging with human-in-the-loop. Supports multiple LLMs and local RAG.ApplyPilot: autonomous AI-driven job application pipeline with modular architecture and advanced automationhttps://ramdi.fr/github-stars/applypilot-autonomous-ai-driven-job-application-pipeline-with-modular-architecture-and-advanced-automation/Mon, 04 May 2026 10:23:01 +0000https://ramdi.fr/github-stars/applypilot-autonomous-ai-driven-job-application-pipeline-with-modular-architecture-and-advanced-automation/ApplyPilot automates job applications using AI scoring, resume tailoring, and Playwright-driven form submissions across multiple job boards and portals. It features a modular, parallel pipeline and CAPTCHA handling.Building a production-ready second brain with agentic RAG and LLMOpshttps://ramdi.fr/github-stars/building-a-production-ready-second-brain-with-agentic-rag-and-llmops/Sun, 03 May 2026 08:12:11 +0000https://ramdi.fr/github-stars/building-a-production-ready-second-brain-with-agentic-rag-and-llmops/Explore an open-source course that teaches building a production-grade AI assistant using advanced retrieval-augmented generation, agent orchestration, fine-tuning, and LLMOps practices.Appsmith: a low-code platform with integrated agentic AI for custom business appshttps://ramdi.fr/github-stars/appsmith-a-low-code-platform-with-integrated-agentic-ai-for-custom-business-apps/Sat, 02 May 2026 20:07:04 +0000https://ramdi.fr/github-stars/appsmith-a-low-code-platform-with-integrated-agentic-ai-for-custom-business-apps/Appsmith is an open-source low-code platform for building custom business apps, enhanced with agentic AI that uses private data for context-aware automation and self-hosting options.how awesome-claude-skills turns claude into a real-world action agenthttps://ramdi.fr/github-stars/how-awesome-claude-skills-turns-claude-into-a-real-world-action-agent/Sat, 02 May 2026 20:07:04 +0000https://ramdi.fr/github-stars/how-awesome-claude-skills-turns-claude-into-a-real-world-action-agent/Awesome Claude Skills is a modular Python framework that empowers Claude to perform real-world actions by integrating with 500+ apps via Composio, extending its utility beyond text generation.mem0: optimizing AI agent memory with a new single-pass additive algorithmhttps://ramdi.fr/github-stars/mem0-optimizing-ai-agent-memory-with-a-new-single-pass-additive-algorithm/Sat, 02 May 2026 20:07:04 +0000https://ramdi.fr/github-stars/mem0-optimizing-ai-agent-memory-with-a-new-single-pass-additive-algorithm/mem0 enhances AI agent memory with a new single-pass ADD-only extraction algorithm and multi-signal retrieval, boosting benchmarks significantly while simplifying memory management.Inside daily_stock_analysis: a multi-LLM automated stock analysis systemhttps://ramdi.fr/github-stars/inside-daily-stock-analysis-a-multi-llm-automated-stock-analysis-system/Fri, 24 Apr 2026 18:26:13 +0000https://ramdi.fr/github-stars/inside-daily-stock-analysis-a-multi-llm-automated-stock-analysis-system/daily_stock_analysis combines multi-LLM integration with multi-source financial data to automate stock market decisions across global markets. It features flexible AI provider fallback and multi-channel alerts.