Tagged articles

Mnemovela

3 articles · Page 1 of 1

Sep 13, 2026 · Artificial Intelligence

Choosing an Agent Memory Layer: 7 Critical Decision Points from Write Timing to Forgetting

This guide compares six major agent memory systems—Mem0, Graphiti, Letta, Cognee, Supermemory, and Mnemovela—across seven decision points including write timing, conflict resolution, forgetting strategies, and context assembly, helping engineers select the right memory architecture for their AI agents.

AI AgentsAgent MemoryCognee

0 likes · 30 min read

Choosing an Agent Memory Layer: 7 Critical Decision Points from Write Timing to Forgetting

Architects Research Society

Sep 3, 2026 · Artificial Intelligence

2026 AI Agent Memory Layer Landscape: From Vector Stores to Cognitive Runtimes

This article surveys the 2026 AI Agent memory ecosystem, comparing specialized memory layers like Mem0, Zep, Letta, and Mnemovela, framework-native solutions, infrastructure offerings, and lightweight tools, with a decision framework for choosing the right cognitive architecture.

AI AgentCognitive ArchitectureKnowledge Graph

0 likes · 12 min read

2026 AI Agent Memory Layer Landscape: From Vector Stores to Cognitive Runtimes

Architects Research Society

Sep 2, 2026 · Artificial Intelligence

Why Agent Memory Goes Beyond Vector Databases: Inside MNEMOVELA’s Cognition Runtime Model

The article explains that typical agent systems store long‑term memory as raw chat logs embedded in a vector database, which only captures similarity, and introduces MNEMOVELA’s cognition runtime model that classifies memories into types, uses Git‑like branching, hybrid retrieval, and context assembly to provide semantically rich, versioned agent memory.

Agent MemoryMnemovelacognition runtime

0 likes · 6 min read

Why Agent Memory Goes Beyond Vector Databases: Inside MNEMOVELA’s Cognition Runtime Model