MemPalace: The Best-Benchmarked Open-Source AI Memory System

Fri, 01 May 2026 00:00:00 +0000

AI agents struggle with long-term memory. Without it, every conversation starts from zero – no recollection of past tasks, user preferences, or ongoing projects. MemPalace takes direct aim at this limitation with a uniquely ambitious approach: a spatial hierarchy modeled on the ancient method of loci, the same mnemonic technique Roman orators used to memorize entire speeches. The result is an open-source AI memory system that achieves 96.6% recall on LongMemEval, the highest score among open-source systems at time of writing.

MemPalace is built by MemPalace, a team exploring biologically inspired architectures for AI memory. The project is local-first, meaning your agent’s memory lives on your machine rather than in a cloud API. This matters for both privacy and latency – memory retrieval happens in milliseconds without a network round trip.

Supermemory MCP: Persistent Memory for AI Agents via MCP

Fri, 01 May 2026 00:00:00 +0000

One of the biggest limitations of current AI agents is their lack of persistent memory. Each new conversation starts from scratch, forcing users to repeat context and preferences. Supermemory MCP solves this by providing a persistent memory layer that AI agents can read from and write to across sessions, all through the Model Context Protocol.

Developed by supermemoryai, this MCP server gives AI agents the ability to remember facts about users, recall past interactions, and build a knowledge base over time. It supports structured and unstructured memory, automatic summarization, and configurable retention policies. The result is AI agents that learn and improve with every interaction.

AI Memory on SoloSoft

MemPalace: The Best-Benchmarked Open-Source AI Memory System

Supermemory MCP: Persistent Memory for AI Agents via MCP