LoreConvo and Mem0 offer contrasting approaches to AI agent memory, with LoreConvo using structured, user-committed sessions stored locally in a SQLite file, while Mem0 automatically extracts facts in…
Modern agent memory architectures move beyond simple context windows by extracting facts, preserving episodes, building semantic structure, and retrieving through multiple signals. The design choices—…
A developer building in public for 21 days discovered that every major agent memory API—including Mem0, Zep, Letta, and OpenAI's Assistants—is missing a lifecycle state field to mark facts as supersed…
A solo developer in Accra, Ghana, has launched AgentRAM, a memory API for AI agents that eliminates the need for vector databases or embedding pipelines. The service provides durable key-value memory …
Researchers have introduced "Behavioral Specification" as a new interpretive layer for AI memory, arguing that current systems optimized for factual recall fail to capture how a specific person proces…
The AI industry's approach to solving statelessness—by using centralized, server-side memory services—is fundamentally flawed for sensitive workflows. Instead, the article proposes that persistent con…