Sliding Window Memory

Pieces stores and organizes work‑related context—code, docs, chats—within familiar tools, creating OS‑level long‑term memory. It supports real‑time LLM context via local plugins, letting users keep data on‑device or sync to a chosen cloud, aiding continuity for teams.

Supermemory unifies user profiling, a vector memory graph, and rapid retrieval into a single API, extracting PDFs, web pages, images, and syncing from Notion, Slack, Google Drive, Gmail, S3. It integrates via TypeScript, Python, or REST.

EverMemOS is a long-term memory operating system for AI agents that converts interactions into structured MemUnits, organizes hierarchical adaptive memory graphs, and provides indexed retrieval, reranking, and APIs to enable persistent, context-aware, stateful behavior across sessions.

Remind AI is an open‑source memory system that records and indexes digital activity. It stores data from email, messaging, and document editors in a structured graph, enabling users to retrieve past actions and files with natural language via local LLMs.

Memorr.AI is a Mac/Windows desktop app that preserves context across AI chats using a split-screen chat plus visual memory canvas, enabling branching conversations, multi-model use, local storage, BYOK, and exportable memory for long-term workflows.

llongterm is a memory-focused AI tool that enhances chatbots and virtual assistants by enabling contextual memory retention. It supports personalized interactions across various applications, including education and customer support, and is compatible with multiple programming languages.

Cognee is an open-source agent memory platform that captures context, builds graph and vector memory, and enables persistent, searchable recall across sessions via an SDK, memory API, connectors (S3, Slack, Notion, Drive) and governance controls.