Recent posts tagged aimemory

Como importar o histórico de desenvolvimento para uma memória local pesquisável, validar os dados e organizar a migração no Debian. O histórico de uma ferramenta de desenvolvimento com IA pode acumular meses de decisões técnicas, diagnósticos, coman...

Como migrei 177 sessões de desenvolvimento para uma memória local pesquisável, preservando o histórico original e preparando o ambiente para reutilizar conhecimento entre sessões de IA. O problema: cada sessão termina, mas o conhecimento precisa con...

Quem utiliza agentes de IA para desenvolver software já percebeu um problema recorrente: a cada nova sessão, parte do contexto se perde. Decisões de arquitetura, particularidades do projeto, comandos utilizados e soluções de problemas anteriores nem ...

> Scope: This article examines the mainland Chinese AI agent ecosystem for international readers. It is an editorial counterpart to the Chinese version rather than a line-by-line translation. > > The analysis is based on public API documentation, ope...

Ciao a tutti ragazzi di Coder Legion! Oggi voglio condividere con voi un progetto open-source a cui ho lavorato ultimamente e che mi sta salvando un sacco di tempo. Si tratta di Neural Memoryhttps://github.com/drakonkat/neural-memory, un server MC...

DWA-10 — Indestructible Memory Kernel v3 The memory architecture AI agents actually deserve. ───────────────────────── MEMORY QUALITY ───────────────────────── ① Persistent context across sessions Preferences, goals, and constraints survive conver...

As artificial intelligence systems operate across multiple models, platforms, execution environments, and organizations, the question of trust increasingly appears at the infrastructure level. Over time, trust emerges from whether identity, memory, a...

In the modern AI landscape, the key question is no longer “How smart can a model become?” but rather something deeper and more fundamental: How can we trust the meaning semantics, memory, and identity of AI systems when they begin to interact across ...

AI is growing faster than the structures built to hold it. We have smarter models, bigger datasets, and increasingly autonomous agents — but we lack one critical thing: A trust layer. A foundation for identity. A foundation for memory. A foundati...

> This article explains why the Canonical Funnel Economy CFE is not a > concept but a real, operational Trust Layer Infrastructure for the AI > era — using DID as the “AI Digital Passport” and CID as the “Immutable > Memory Code” that prevents semant...

The Foundation for Shared Meaning and Cross-System Agentic AI AI is evolving into something far more powerful than a chatbot. We are entering the age of Agentic AI — systems that can reason, plan, act, and collaborate across platforms. AI agents wi...

The Evolution of AI Memory: From Context Windows to True Long-Term Memory Artificial intelligence has come a long way, but one thing has always held it back: memory. Large Language Models LLMs are great at short conversations, yet they quickly forget...