<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Openai on Noureddine RAMDI</title><link>https://ramdi.fr/tags/openai/</link><description>Recent content in Openai 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/openai/index.xml" rel="self" type="application/rss+xml"/><item><title>Inside picoagents: a transparent multi-agent system framework built from scratch in Python</title><link>https://ramdi.fr/github-stars/inside-picoagents-a-transparent-multi-agent-system-framework-built-from-scratch-in-python/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-picoagents-a-transparent-multi-agent-system-framework-built-from-scratch-in-python/</guid><description>PicoAgents is a Python multi-agent framework built from scratch, offering transparent agent orchestration, LLM provider abstraction, streaming UI, and production-ready benchmarks.</description></item><item><title>LLM-MM-Agent: autonomous mathematical modeling with hierarchical method selection</title><link>https://ramdi.fr/github-stars/llm-mm-agent-autonomous-mathematical-modeling-with-hierarchical-method-selection/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/llm-mm-agent-autonomous-mathematical-modeling-with-hierarchical-method-selection/</guid><description>LLM-MM-Agent uses LLMs as autonomous agents for end-to-end mathematical modeling, featuring a unique hierarchical method library with actor-critic selection. Supports GPT-4o and DeepSeek-R1.</description></item><item><title>Minimalist Python AI demos: exploring qxresearch-event-1's concise LLM patterns</title><link>https://ramdi.fr/github-stars/minimalist-python-ai-demos-exploring-qxresearch-event-1-s-concise-llm-patterns/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/minimalist-python-ai-demos-exploring-qxresearch-event-1-s-concise-llm-patterns/</guid><description>qxresearch-event-1 is a collection of 50+ minimalist Python apps showcasing core AI patterns like fine-tuning, vector DB, and Whisper in about 10 lines each. A practical learning resource.</description></item><item><title>Surf: Connecting OpenAI's Computer Use API to a Cloud Virtual Desktop with Real-Time Streaming</title><link>https://ramdi.fr/github-stars/surf-connecting-openai-s-computer-use-api-to-a-cloud-virtual-desktop-with-real-time-streaming/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/surf-connecting-openai-s-computer-use-api-to-a-cloud-virtual-desktop-with-real-time-streaming/</guid><description>Surf integrates OpenAI&amp;rsquo;s Computer Use API with E2B&amp;rsquo;s cloud virtual desktop to control a Linux desktop via natural language, streaming actions back to the browser in real-time.</description></item><item><title>SkillClaw: A modular Python framework for orchestrating AI agents across OpenAI-compatible and AWS Bedrock APIs</title><link>https://ramdi.fr/github-stars/skillclaw-a-modular-python-framework-for-orchestrating-ai-agents-across-openai-compatible-and-aws-bedrock-apis/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/skillclaw-a-modular-python-framework-for-orchestrating-ai-agents-across-openai-compatible-and-aws-bedrock-apis/</guid><description>SkillClaw is a Python framework enabling flexible AI agent orchestration across OpenAI-compatible and AWS Bedrock APIs, focusing on modularity and provider-agnostic design.</description></item><item><title>Structured prompt engineering with awesome-gpt-image-2: a curated GPT Image 2 prompt library in TypeScript</title><link>https://ramdi.fr/github-stars/structured-prompt-engineering-with-awesome-gpt-image-2-a-curated-gpt-image-2-prompt-library-in-typescript/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/structured-prompt-engineering-with-awesome-gpt-image-2-a-curated-gpt-image-2-prompt-library-in-typescript/</guid><description>A TypeScript library of 4,000+ curated GPT Image 2 prompts in JSON with dynamic Raycast Snippet arguments, multilingual support, and a companion web gallery for easy browsing.</description></item><item><title>Fire Enrich: a sequential multi-agent pipeline for enriched company profiles from emails</title><link>https://ramdi.fr/github-stars/fire-enrich-a-sequential-multi-agent-pipeline-for-enriched-company-profiles-from-emails/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/fire-enrich-a-sequential-multi-agent-pipeline-for-enriched-company-profiles-from-emails/</guid><description>Fire Enrich orchestrates 5 specialized AI agents in sequence to enrich company profiles from email addresses, using Next.js, OpenAI, and Firecrawl.</description></item><item><title>Inside openclaw-claude-bridge: a translation layer bridging OpenClaw and Claude Code CLI</title><link>https://ramdi.fr/github-stars/inside-openclaw-claude-bridge-a-translation-layer-bridging-openclaw-and-claude-code-cli/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-openclaw-claude-bridge-a-translation-layer-bridging-openclaw-and-claude-code-cli/</guid><description>openclaw-claude-bridge translates OpenClaw&amp;rsquo;s OpenAI API calls into Claude Code CLI&amp;rsquo;s native protocol, managing persistent sessions and tool-call conversions with a React dashboard for real-time metrics.</description></item><item><title>AI Knowledge Graph Generator: Building structured graphs from unstructured text with LLMs</title><link>https://ramdi.fr/github-stars/ai-knowledge-graph-generator-building-structured-graphs-from-unstructured-text-with-llms/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/ai-knowledge-graph-generator-building-structured-graphs-from-unstructured-text-with-llms/</guid><description>A Python tool that converts unstructured text into interactive knowledge graphs using a three-phase LLM pipeline with SPO triplet extraction, entity standardization, and relationship inference.</description></item><item><title>Claudish: A versatile TypeScript CLI proxy bridging Claude Code with 580+ AI models</title><link>https://ramdi.fr/github-stars/claudish-a-versatile-typescript-cli-proxy-bridging-claude-code-with-580-ai-models/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/claudish-a-versatile-typescript-cli-proxy-bridging-claude-code-with-580-ai-models/</guid><description>Claudish is a TypeScript CLI proxy that lets Claude Code work with 580+ AI models via OpenRouter, direct APIs, and local inference, enabling multimodal capabilities through vision proxying.</description></item><item><title>gpt_image_2_skill: modular AI image generation prompts as an agent skill and CLI</title><link>https://ramdi.fr/github-stars/gpt-image-2-skill-modular-ai-image-generation-prompts-as-an-agent-skill-and-cli/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/gpt-image-2-skill-modular-ai-image-generation-prompts-as-an-agent-skill-and-cli/</guid><description>gpt_image_2_skill packages 162 curated image generation prompts as an AI agent skill and CLI, wrapping OpenAI&amp;rsquo;s image APIs with validation and budget control for natural-language invocation.</description></item><item><title>WhyHow Knowledge Graph Studio: building RAG-native knowledge graphs with MongoDB and OpenAI</title><link>https://ramdi.fr/github-stars/whyhow-knowledge-graph-studio-building-rag-native-knowledge-graphs-with-mongodb-and-openai/</link><pubDate>Mon, 04 May 2026 10:23:01 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capabilities</title><link>https://ramdi.fr/github-stars/openai-skills-modular-agent-skills-for-reusable-ai-capabilities/</link><pubDate>Sat, 25 Apr 2026 07:57:59 +0000</pubDate><guid>https://ramdi.fr/github-stars/openai-skills-modular-agent-skills-for-reusable-ai-capabilities/</guid><description>The openai/skills repo offers a catalog of modular &amp;lsquo;Agent Skills&amp;rsquo; for OpenAI Codex agents, enabling reusable AI functionalities with a standardized installation system.</description></item><item><title>OpenAI Codex CLI: local-first AI coding assistant with ChatGPT integration</title><link>https://ramdi.fr/github-stars/openai-codex-cli-local-first-ai-coding-assistant-with-chatgpt-integration/</link><pubDate>Thu, 23 Apr 2026 23:28:46 +0000</pubDate><guid>https://ramdi.fr/github-stars/openai-codex-cli-local-first-ai-coding-assistant-with-chatgpt-integration/</guid><description>OpenAI Codex CLI brings AI coding assistance local to your terminal, integrating with ChatGPT plans for powerful hybrid AI workflows. Here&amp;rsquo;s how it works and who it&amp;rsquo;s for.</description></item></channel></rss>