Universal memory layer for AI Agents. It provides scalable, extensible, and interoperable memory storage and retrieval to streamline AI agent state management for next-generation autonomous systems.
Extended Memory Semantics - Persistent shared object memory and parallelism for Node.js and Python
Plug-and-play memory for LLMs in 3 lines of code. Add persistent, intelligent, human-like memory and recall to any model in minutes.
RECIPE : high-performance, concurrent indexes for persistent memory (SOSP 2019)
Scalable Hashing on Persistent Memory
A persistent local memory for AI, LLMs, or Copilot in VS Code.
The world's first wait-free Software Transactional Memory
SplitFS: persistent-memory file system that reduces software overhead (SOSP 2019)
Persistent AI memory for coding assistants - MCP server providing context persistence across sessions for Claude, Cursor, Windsurf. MCP Tools for task tracking, workflow automation, and AI memory. Eliminates context loss between sessions.
Persistent Intelligence Infrastructure for AI Agents
An open-source BzTree implementation
Benchmarking framework for index structures on persistent memory
Native persistent memory support for Go
✨ mem0 MCP Server: A memory system using mem0 for AI applications with model context protocl (MCP) integration. Enables long-term memory for AI agents as a drop-in MCP server.
Distributed Shared Persistent Memory. SoCC 2017
Persistent memory allocator for data-centric analytics
🧬 KIP is a Knowledge-memory Interaction Protocol designed for LLMs, aiming to build a sustainable learning and self-evolving memory system for AI Agents.
Passive Disaggregated Persistent Memory at USENIX ATC 2020.
High Performance Learned Index on Persistent Memory
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