<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Memory-Management on Noureddine RAMDI</title><link>https://ramdi.fr/tags/memory-management/</link><description>Recent content in Memory-Management 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/memory-management/index.xml" rel="self" type="application/rss+xml"/><item><title>Ori-Mnemos: scoped memory management for AI agents in TypeScript</title><link>https://ramdi.fr/github-stars/ori-mnemos-scoped-memory-management-for-ai-agents-in-typescript/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/ori-mnemos-scoped-memory-management-for-ai-agents-in-typescript/</guid><description>Ori-Mnemos provides a TypeScript CLI tool for managing AI agent memory with scoped vaults and activation modes, enabling persistent and flexible context handling.</description></item><item><title>Reverse-engineering Claude Code: an open-source playbook for AI coding agent prompts</title><link>https://ramdi.fr/github-stars/reverse-engineering-claude-code-an-open-source-playbook-for-ai-coding-agent-prompts/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/reverse-engineering-claude-code-an-open-source-playbook-for-ai-coding-agent-prompts/</guid><description>This repo reverse-engineers Claude Code&amp;rsquo;s AI coding agent prompts into reusable templates covering safety, tool routing, multi-agent coordination, and memory management for practical prompt engineering.</description></item><item><title>Mapping the OpenClaw AI agent ecosystem: a curated catalog of skills, dashboards, and integrations</title><link>https://ramdi.fr/github-stars/mapping-the-openclaw-ai-agent-ecosystem-a-curated-catalog-of-skills-dashboards-and-integrations/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/mapping-the-openclaw-ai-agent-ecosystem-a-curated-catalog-of-skills-dashboards-and-integrations/</guid><description>OpenClaw offers a comprehensive AI agent platform with a rich ecosystem of skills, dashboards, memory plugins, and multi-channel integrations. This curated catalog maps 80+ projects for developers exploring agent frameworks.</description></item><item><title>EvoClaw: Structured memory and identity evolution framework for OpenClaw AI agents</title><link>https://ramdi.fr/github-stars/evoclaw-structured-memory-and-identity-evolution-framework-for-openclaw-ai-agents/</link><pubDate>Mon, 04 May 2026 10:23:03 +0000</pubDate><guid>https://ramdi.fr/github-stars/evoclaw-structured-memory-and-identity-evolution-framework-for-openclaw-ai-agents/</guid><description>EvoClaw enforces AI agent memory and identity evolution with an 8-validator pipeline ensuring integrity and governance, featuring a tiered memory system and radial mindmap UI.</description></item><item><title>Memary: Recursive Knowledge Graph Memory for Autonomous AI Agents</title><link>https://ramdi.fr/github-stars/memary-recursive-knowledge-graph-memory-for-autonomous-ai-agents/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/memary-recursive-knowledge-graph-memory-for-autonomous-ai-agents/</guid><description>Memary is an open-source memory layer for AI agents using knowledge graphs and recursive retrieval to efficiently store and query agent memories. It supports multi-agent setups and integrates with LlamaIndex and OpenAI.</description></item><item><title>claude-memory-compiler: automating AI conversation memory compilation for Claude Code</title><link>https://ramdi.fr/github-stars/claude-memory-compiler-automating-ai-conversation-memory-compilation-for-claude-code/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/claude-memory-compiler-automating-ai-conversation-memory-compilation-for-claude-code/</guid><description>claude-memory-compiler automates capturing and compiling Claude Code conversations into a knowledge base, improving AI agent memory management with minimal setup.</description></item><item><title>Mind: a structured persistent memory layer with 3-tier context for AI agents</title><link>https://ramdi.fr/github-stars/mind-a-structured-persistent-memory-layer-with-3-tier-context-for-ai-agents/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/mind-a-structured-persistent-memory-layer-with-3-tier-context-for-ai-agents/</guid><description>Mind offers a SQLite-backed persistent memory layer with a 3-tier model for AI agents, solving context decay via checkpoint recovery and semantic search integration.</description></item><item><title>mem0: optimizing AI agent memory with a new single-pass additive algorithm</title><link>https://ramdi.fr/github-stars/mem0-optimizing-ai-agent-memory-with-a-new-single-pass-additive-algorithm/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/mem0-optimizing-ai-agent-memory-with-a-new-single-pass-additive-algorithm/</guid><description>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.</description></item></channel></rss>