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.

Headless knowledge base with bidirectional Markdown sync

Simple standalone MCP server giving Claude the ability to remember your conversations and learn from them over time.

A lightweight, Git-backed permanent memory for AI agents.

memX: self-learning, self-maintaining memory plugin for AI agents; native support for claude code, codex, and openclaw

A portable memory protocol for AI agents — load it as standing rules; a curation discipline + reference spec + optional cap hook.

Next-gen AI memory layer with importance scoring, temporal decay, hierarchical memory, and YMYL prioritization

Open-source cognitive coprocessor with active memory for AI agents — persistent recall, semantic search, overnight dreaming, verified facts, encrypted USB sync. MCP server; works with Claude, ChatGPT, and any local LLM. Built by one maker and his agents.