agiresearch/A-mem
A-MEM: Agentic Memory for LLM Agents
The code for NeurIPS 2025 paper "A-Mem: Agentic Memory for LLM Agents"
Quick read
Latest capture 2026-08-11 04:44
0 paths
Agent instructions and tool configuration found in this repository.
No config files detected.
43 observed captures since 2026-06-02. Observed captures are shown by default.
Stars from first capture +42
Observed captures only
All tracked data
Observed snapshots
Observed snapshots
Nearest indexed repositories by embedding similarity.
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.
Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings
Memory system for autonomous agents - built by an agent, for agents
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.