Hierarchical Memory Graphs

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.

The StoryGraph is an AI-powered reading platform utilizing machine learning. It offers personalized book recommendations, stats tracking, customizable selections, mood/theme filters, live reactions, reading challenges, and content warnings for an immersive reading experience.

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.

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.

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.

understand-anything.com is an AI tool that transforms any codebase into an interactive knowledge graph, mapping files, functions, and dependencies across 26+ file types. It enables rapid code comprehension through features like dependency pathfinding, fuzzy semantic search, and AI-guided tours for o

Rove stores photos and videos in a graph database, letting users create nodes and link media by themes, colors, or moods. Its non‑linear search and collaborative nodes enable designers, planners, and families to quickly find and share content.

Heptabase is a visual note-taking and knowledge management tool that enables users to create interconnected notes across various formats, annotate PDFs, and collaborate in real-time, enhancing the organization and understanding of complex topics.

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.

Mythia creates interactive, branching AI-driven stories that adapt to player choices using Memory Fragments and Timelines for tactical encounters, puzzles, and traps. It supports character customization, long-form saved sessions, seamless continuity, and multiple timeline management.

Web‑based task manager that creates hierarchical tasks with unlimited depth. AI auto‑breaks large tasks into subtasks, estimates time, extracts actions from images, supports deadlines, calendar views, collaboration, bulk editing, command palette, markdown, dependencies, recurring tasks, and real‑tim

TinyHumans is a platform for building practical AI products and personal assistants, offering OpenHuman for individual workflow support and Neocortex for production-grade memory infrastructure. It emphasizes privacy, simple integration, and low-latency retrieval to accelerate team decision-making an

Docugram transforms text into visual diagrams like decision trees and flowcharts, enhancing clarity of complex information. It features editable nodes, auto layout for professional appearances, and easy saving for future editing, ideal for professionals communicating processes effectively.

Mem is an AI knowledge‑base that consolidates notes, research, and meeting transcripts into a searchable hub. It auto‑extracts key points, groups content, and answers queries, aiding students, professionals, and teams in quick information retrieval.

Bethge Lab develops data‑centric, lifelong learning AI models for multimodal knowledge retrieval, theorem proving, and scientific forecasting, using compositional representations to prevent forgetting and mechanistic interpretability tools to model neural coding and attention.

Memu is an agent memory system that enables AI agents to store and retrieve structured customer memories, enhancing engagement. It offers seamless integration with existing applications, real-time monitoring, and behavior optimization for improved operational efficiency.

Heuristica is an AI‑driven study platform that builds concept maps, flashcards, quizzes, and notes from PDFs, videos, websites, PubMed, and arXiv. It supports multiple LLMs, offers spaced repetition, and summarizes documents and media for efficient learning.

Free AI Graph Maker enables users to create interactive charts and graphs, including bar, pie, and line charts. It supports Gantt charts, flowcharts, and mind maps, facilitating effective data visualization for various sectors like education and finance.

Connected Papers visualizes academic literature as a graph, letting users enter a paper and instantly see related works, citation paths, and trends. It aids in building bibliographies, spotting gaps, and finding recent research.

HumanLayer is an open-source IDE and orchestration layer for AI coding agents, managing parallel Claude Code sessions, multiclaude workflows, worktrees and remote workers, with context-engineering tools, session replay, workflow templates and GitHub-integrated code-review automation.

xmem is a knowledge-sharing tool that centralizes organizational documentation, offers robust API integration, and features real-time data synchronization. Its AI-driven search and role-based access enhance data management and improve teamwork efficiency.

Memgrain converts notes, PDFs, and web pages into AI‑generated flashcards with explanations and spaced‑repetition schedules, auto‑creates quizzes, grades them instantly, and provides a memorization guide to track progress, enhancing retention for students and lifelong learners.

Lettria transforms unstructured PDFs into structured knowledge graphs, enabling precise, traceable answers in regulated sectors. Its NLP modules extract tables, diagrams, entities, and relationships, combining graph retrieval with vector search to improve accuracy and support audit‑ready compliance

Sup AI is a multi-model orchestration platform that intelligently routes queries to the best frontier models for task-specific results. It ensures verifiable accuracy by scoring outputs in real-time, automatically retrying low-confidence responses and linking claims to citable sources.

HereAfter AI captures and securely stores audio interviews with accompanying photos. A voice‑guided interface lets family members retrieve stories by topic or date, and only authorized recipients can access the content, available on web or mobile.

paperclip is an open-source, self-hosted AI orchestration platform for creating and managing autonomous companies and agent teams—providing role-based hiring, goal-driven task delegation, budgeting, audit trails, multi-tenant deployment, extensible LLM integrations, and monitoring dashboards.

Datagran reorganizes sales, ops, customer success, and growth into human‑led AI cells. One human oversees each cell while AI agents research, coordinate, and handle routine tasks, integrating seamlessly with existing workflows through shared memory and policy enforcement.

GraphRAG by Microsoft is an advanced graph-based system for extracting structured data from unstructured text using large language models. It improves reasoning over private data and offers a user-friendly experience with Azure resources.

TreeMind uses AI to convert prompts, images, or documents into structured mind maps and other diagram types. It supports unlimited nodes, real‑time collaboration, multiple export formats, and cross‑platform sync for students, educators, and teams.

Tana is an AI-native workspace that enhances knowledge management by transforming notes into tasks, projects, and documents. With AI-powered meeting transcription, custom feeds, and automation, it streamlines workflows for professionals, teams, and individuals seeking organized productivity.

GenWorlds is an event‑driven framework for building scalable multi‑agent systems in generative AI worlds, supporting custom agents, objects, goals, memory imports, cognitive models (Tree of Thoughts, Chain of Thoughts, AutoGPT), WebSocket interfaces, and integration with Qdrant and LangChain.

Vectorize is a modular AI platform for building, deploying, and managing intelligent agents with persistent memory. It offers end‑to‑end context engineering, data connectors, automated pipelines, semantic search, and enterprise security for reliable RAG solutions.

Emergent Mind collects recent arXiv papers, categorizes by topic or author, offers concise summaries, in‑depth analyses, whiteboard and video renderings, plus community‑driven email digests, helping researchers, students, educators, and industry professionals locate and explain literature quickly.

Memno is a privacy-first personal AI assistant that builds a personal knowledge graph from photos, documents, voice notes, emails, contacts and calendars to enable context-aware search, reminders, automated scheduling, multilingual calls and task automation.

MyMemo is an AI-powered knowledge management tool that simplifies organizing and accessing personal data. It provides AI-driven recaps, tailored collections, and extracts essential insights for efficient information retrieval.

Kompas is a local-first desktop app that builds a personal knowledge graph from notes, documents, highlights, web pages and voice, organizing work into sessions that retrieve related material to support progressive, connected writing and offline LLM use.

Hex unifies notebooks, conversational queries, and dashboards in a single workspace. It uses shared semantic context to offer reliable insights from Snowflake, BigQuery, Redshift, and more. Data scientists write code, while business users ask plain‑language questions via Threads or Slack.

Mem.ai is an AI-powered workspace that simplifies information management and collaboration, automates tasks, and facilitates knowledge sharing.

Inception Labs' diffusion-based large language models (dLLMs) offer faster, more efficient, and cost-effective text generation than traditional autoregressive models. With built-in error correction, multimodal support, and structured output control, they excel in function calling and complex data ge

Recall is an AI-driven knowledge management tool that organizes and retrieves information efficiently. It summarizes content, uses an interactive knowledge graph, supports spaced repetition, and ensures cross-platform accessibility while prioritizing user data privacy.

Leaves is a virtual biographer AI app that helps users craft and preserve their life stories effortlessly. With user-friendly features, storytelling options, privacy protection, and professional services available, it's a versatile tool for creating personalized narratives and sharing memories acros

Curiosity unifies enterprise data into a knowledge graph, enabling AI‑powered search and assistants across legacy and modern systems. It deploys on‑premises for GDPR compliance, offers fast hybrid search, and reduces response times and error rates.

Squirro consolidates structured and unstructured data using knowledge graphs and AI guardrails, delivering secure, compliant analytics for regulated sectors. It offers document intelligence, semantic search, real‑time compliance monitoring, and privacy controls, enabling faster decisions and reduced

Cerebro is an AI-powered knowledge management tool that consolidates information from various sources, enabling efficient retrieval of insights through automated key point extraction. It streamlines workflows and connects ideas to combat information overload.

Memo AI is a workspace that ingests PDFs, videos, websites, and text, extracting structured content into semantic chunks with vector embeddings for hybrid keyword‑semantic retrieval. It generates flashcards, tests, summaries, mind maps, and supports active‑recall, spaced repetition, multilingual AI

ANUMA AI is a private, local-first chat platform that uses a unified memory layer to preserve full conversation context when switching between AI models. It ensures user control and data privacy with client-side encryption, no external logging, and support for leading open-source models.

Cerebras provides a wafer-scale AI accelerator and software stack that enables single-node training of very large LLMs, high-throughput low-latency inference (GLM-4.6 at 1,000 TPS), PyTorch SDK, deployment options, and MLOps tooling.

Haxiom is an online Markdown editor for collaborative teams that organizes knowledge into a unified, GitHub-linked knowledge base with real-time multiplayer editing, AI-driven note structuring and deduplication, semantic search, GitHub sync, Typst math rendering, and an AI assistant.

Dreamspace offers an infinite canvas for visualizing and comparing large‑language‑model outputs. Users run prompts, view text and image results in nodes, link iterations, chain outputs, and collaborate on shared canvases.