libingzheren/Jev-Mem

Official code for the paper "Memora: A Harmonic Memory Representation Balancing Abstraction and Specificity"

Hindsight: Agent Memory That Learns

Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.

30 sec to give your AI agents persistent memory. Reduce 90% token consumption while also maintaining quality.

Memory Palace is a long-term memory operating system purpose-built for AI Agents.

LLM-supervised persistent memory for AI agents — graph-based recall, cross-session knowledge, single binary. Works with DeepSeek Harness, Claude Code, OpenClaw, and any agent runtime.

[EMNLP 2025 Oral] MemoryOS is designed to provide a memory operating system for personalized AI agents.

Durable, file-based long-term memory for AI agents. Five-package plugin family: SDK, CLI, MCP server, Hermes adapter, and a LangGraph BaseStore. No vector database, no embeddings.

Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harness support.