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Universal memory layer for AI Agents

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.

Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.

🗃 Offload your store management to a worker easily.

KaibanJS is a JavaScript-native framework for building and managing multi-agent systems with a Kanban-inspired approach.

A reactive atomic state engine for React(including React 18) and all React like, carrying dependency collection feature, supporting fine-grained updates.

Signals for Python - Reactive Declarative State Management Library for Python - automatic dependency tracking and reactive updates for your application state. Inspired by Angular Signals / SolidJS.

An innovative desktop manager for macOS

A framework-agnostic state management library that keeps your app’s state clean and simple. It uses a fine-grained state model, breaking state into independent, manageable chunks.

Shared versioned state for multi-agent AI workflows. An MCP server.