The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.
Quick read
Latest capture 2026-09-04 04:25
25 paths
Agent instructions and tool configuration found in this repository.
Agent instructions 11
Agent workspace 3
Claude Code 11
1 more path detected.
104 observed captures since 2026-05-22. Observed captures are shown by default.
Stars from first capture +8234
Observed captures only
All tracked data
Observed snapshots
Observed snapshots
Nearest indexed repositories by embedding similarity.
Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings
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.
Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc.
Memory and context engine + app that is extremely fast, scalable, and can be run fully locally. The Memory API for the AI era.
Memory system for autonomous agents - built by an agent, for agents
Personal memory across agents
