Articles for tag: AI Agents, developer tools, memory systems, multi-user support, MUXI, open-source framework, real-time communication

March 9, 2025

Revolutionize Your AI with the Extensible AI Agents Framework from Ranaroussi/Muxi for Advanced Solutions and Customization

MUXI is a flexible framework designed for creating AI agents that can communicate in real-time and remember information. It allows developers to build and manage multiple AI agents, each with unique abilities, using a standardized communication protocol. MUXI supports various features like short-term and long-term memory, multi-user experiences, and easy integration with tools. It provides ...

March 2, 2025

Market News

Ai Agents

Revolutionizing LLMs: A-MEM Dynamic Memory System for Enhanced Agentic Learning and Structuring Without Static Limitations

Researchers from Rutgers University, Ant Group, and Salesforce have developed A-MEM, a new memory system designed for large language model agents. Traditional memory systems often lack flexibility, making it hard for these agents to adapt and learn from new information. A-MEM addresses this issue by using a method inspired by Zettelkasten note-taking, allowing each interaction ...

March 2, 2025

Market News

Ai Agents

Revolutionizing LLM Agents: A-MEM’s Dynamic Memory System for Enhanced Memory Structuring and Agentic Operations

Researchers from Rutgers University, Ant Group, and Salesforce have developed A-MEM, an innovative memory system for large language model agents. Unlike traditional memory systems that are rigid and fixed, A-MEM uses a flexible approach inspired by the Zettelkasten note-taking method. Each interaction is recorded as a detailed note, allowing the memory to adapt and evolve ...

January 30, 2025

Market News

Ai Agents

Unlocking AI Potential: A Beginner’s Guide to Creating an Agent-Based System with LangGraph

An agent is an advanced system powered by a Large Language Model (LLM) that can autonomously choose its actions and workflows. Unlike traditional chatbots, agents can decide based on context, utilize external tools like web searches, and adapt their approach for improved problem-solving. Key components of agents include memory, which allows them to retain context, ...