<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Plugin-System on Noureddine RAMDI</title><link>https://ramdi.fr/tags/plugin-system/</link><description>Recent content in Plugin-System 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/plugin-system/index.xml" rel="self" type="application/rss+xml"/><item><title>Mini-Wiki: AI-powered incremental wiki documentation generation with instruction-based plugins</title><link>https://ramdi.fr/github-stars/mini-wiki-ai-powered-incremental-wiki-documentation-generation-with-instruction-based-plugins/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/mini-wiki-ai-powered-incremental-wiki-documentation-generation-with-instruction-based-plugins/</guid><description>Mini-Wiki enables AI agents to generate and maintain structured wiki docs from codebases incrementally, using a safe instruction-based plugin system. Supports Mermaid diagrams and multi-language output.</description></item><item><title>OpenGuider: a modular, voice-first AI assistant with local-first privacy and plugin-driven automation</title><link>https://ramdi.fr/github-stars/openguider-a-modular-voice-first-ai-assistant-with-local-first-privacy-and-plugin-driven-automation/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/openguider-a-modular-voice-first-ai-assistant-with-local-first-privacy-and-plugin-driven-automation/</guid><description>OpenGuider is an Electron desktop AI assistant with multi-LLM support, voice interaction, and a plugin system including browser automation. It balances local-first privacy with flexible AI workflows.</description></item><item><title>Weave: a Go microkernel platform for hot-pluggable AI application development</title><link>https://ramdi.fr/github-stars/weave-a-go-microkernel-platform-for-hot-pluggable-ai-application-development/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/weave-a-go-microkernel-platform-for-hot-pluggable-ai-application-development/</guid><description>Weave is a Go-based AI platform with a microkernel architecture that supports hot-pluggable AI plugins and dynamic multi-model switching. Deploy with Docker Compose for rapid development.</description></item><item><title>Foxel: a pluggable, AI-powered self-hosted cloud storage platform</title><link>https://ramdi.fr/github-stars/foxel-a-pluggable-ai-powered-self-hosted-cloud-storage-platform/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/foxel-a-pluggable-ai-powered-self-hosted-cloud-storage-platform/</guid><description>Foxel offers a self-hosted cloud storage platform with runtime plugin loading and AI-driven semantic search across multiple backends. Explore its architecture, plugin system, and deployment.</description></item><item><title>Gephi: modular graph visualization with NetBeans plugin architecture</title><link>https://ramdi.fr/github-stars/gephi-modular-graph-visualization-with-netbeans-plugin-architecture/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/gephi-modular-graph-visualization-with-netbeans-plugin-architecture/</guid><description>Gephi is an open-source Java platform for visualizing and manipulating large graphs up to a million elements in real-time. Its modular NetBeans-based architecture enables rich plugin extensibility.</description></item><item><title>Inside Second Brain: A Python AI OS with self-extending plugins and hybrid search</title><link>https://ramdi.fr/github-stars/inside-second-brain-a-python-ai-os-with-self-extending-plugins-and-hybrid-search/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-second-brain-a-python-ai-os-with-self-extending-plugins-and-hybrid-search/</guid><description>Second Brain is a Python framework that indexes local files with embeddings, runs background subagents, and lets AI agents build and hot-load their own plugins at runtime.</description></item><item><title>How Mattermost packages enterprise collaboration with a unified Go + React binary and rich plugin system</title><link>https://ramdi.fr/github-stars/how-mattermost-packages-enterprise-collaboration-with-a-unified-go-react-binary-and-rich-plugin-system/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/how-mattermost-packages-enterprise-collaboration-with-a-unified-go-react-binary-and-rich-plugin-system/</guid><description>Mattermost combines a Go backend and React frontend into a single binary for self-hosted enterprise collaboration. It supports rich plugins, extensive deployment options, and monthly MIT-licensed releases.</description></item><item><title>LobeHub: An extensible AI agent playground with MCP plugin architecture</title><link>https://ramdi.fr/github-stars/lobehub-an-extensible-ai-agent-playground-with-mcp-plugin-architecture/</link><pubDate>Sat, 02 May 2026 20:15:49 +0000</pubDate><guid>https://ramdi.fr/github-stars/lobehub-an-extensible-ai-agent-playground-with-mcp-plugin-architecture/</guid><description>LobeHub offers a TypeScript-based AI agent platform with a unique MCP plugin system for integrating 10,000+ skills and collaborative multi-agent workflows. Explore its architecture and developer experience.</description></item></channel></rss>