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.

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.

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

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.

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.

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.

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.

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.

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.

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

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.

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.

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.

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.

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.

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.

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.

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.

DGM is an AI-powered, free online diagramming tool with advanced features. It provides smart shapes (UML, ERD, flowcharts, UI wireframes) and code generation assistance. Key attributes include cloud storage, hand-drawn styles, web publication, and upcoming real-time collaboration.

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.

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.

DiagramGPT turns natural‑language prompts into architecture, sequence, BPMN, flowchart, ERD, and cloud diagrams. Users pick templates, view use‑case videos, edit in code‑based Eraser, and export to documentation tools. Collaboration, dark mode, and API support are included.

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

MyMap turns text prompts into mind maps, flowcharts, SWOT, timelines, and database schemas on an infinite canvas. It auto‑generates and places nodes with real‑time AI context awareness, letting users drag, connect, and reorganize for brainstorming and planning.

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.

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.

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

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.

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.

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.

categorAIze.io automatically categorizes URLs, text, and images using large language models. Users can define custom categories, let the system generate them, and organize results in hierarchical structures. It offers a browser interface, REST API, and extensible plugins.

Memories.ai leverages AI for fast video analysis, identifying patterns and activities to enhance workflow efficiency. It offers real-time insights, automates tasks, and aids decision-making, streamlining marketing, security, and content discovery processes.

Heyday is an AI-powered memory assistant that organizes and resurfaces forgotten content from various platforms, with a 14-day free trial and monthly pricing starting at $19.

CEBRA compresses high‑dimensional behavioral and neural time series into low‑dimensional, interpretable embeddings, supporting supervised and self‑supervised workflows. It preserves consistency across sessions and modalities, enabling accurate cross‑species trajectory decoding and multimodal integra

MemoHugs captures personal memories through chat, documents, photos, and video to build a memoir dataset. It creates a digital avatar that mirrors the user’s voice and personality, offering interactive advice, storytelling, and educational conversations while preserving legacy.

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.

Datascale converts SQL into interactive diagrams, revealing keys and joins without database changes. Engineers trace lineage, design systems, assess normalization, and collaborate with AI to draft specs and refactor plans.

iChatbook lets users chat through full book collections, fetch precise passages via vector search, build knowledge graphs, and adapt summaries to reading levels. It retains conversation history for revisiting insights and supports role‑management for training teams.