A-MEM: Agentic Memory for LLM Agents
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The code for NeurIPS 2025 paper "A-Mem: Agentic Memory for LLM Agents"
The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.
Memory system for autonomous agents - built by an agent, for agents
Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings
The paper list of "Memory in the Age of AI Agents: A Survey"
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.
