Memory Management Servers

Maintains structured markdown documents as living memory for focused projects, enabling systematic organization, search, and updates of accumulated context across multiple conversations.

Readwise

Official

Integrates with Readwise to search and retrieve highlights from a user's library, enabling researchers and knowledge workers to reference saved notes during conversations without switching contexts.

Qdrant

Official

Store and retrieve vector-based memories for AI systems.

Enables AI to search, purchase, and manage internet domains through Sherlock Domains API, handling authentication, ICANN requirements, and DNS configuration behind the scenes.

Provides a bridge to systemd-coredump functionality for accessing, managing, and analyzing system core dumps in Linux environments, including listing available coredumps, retrieving information, extracting dumps, and generating stack traces using GDB.

Integrates with Supabase to persist and retrieve LLM interaction styles using emojikeys, enabling consistent personalized experiences across conversations.

Channel-based messaging system that enables Slack-like communication infrastructure across projects and agent hierarchies with SQLite persistence, YAML configuration, and automatic agent discovery for coordinating multi-agent workflows and cross-project collaboration.

Integrates with Anki flashcard collections through AnkiConnect to enable complete deck management, note creation, card scheduling, study statistics tracking, and media file operations for language learners and students.

Optimizes multi-agent coordination through intelligent SQLite database design with normalized tables, integer enums, and pre-aggregated views to achieve 96% token reduction in context sharing for decision tracking, agent messaging, file change monitoring, and constraint management.

Leverage Rememberizer's document API for AI-powered semantic search and retrieval of enterprise knowledge.

Integrates with Anki flashcard software to create, manage, and study flashcards through natural language interactions with your local Anki desktop application

Human-like temporal memory for AI assistants that naturally fades over time unless reinforced through use, mimicking the Ebbinghaus forgetting curve

Human-like temporal memory for AI assistants that naturally fades over time unless reinforced through use, mimicking the Ebbinghaus forgetting curve

InfraNodus

Official

Find content gaps, get an overview, and build ontology of any text or public discourse for research, SEO, and content creation

Provides persistent memory for Claude through a local knowledge graph that stores entities with observations and relations, enabling structured information retrieval and complex context retention across conversations.

Provides intelligent search capabilities across Claude Code conversation history with specialized tools for conversation search, file context discovery, error solution patterns, and session management through JSONL log parsing and AI-enhanced query expansion.

Rember

Official

Create flashcards and study/remember anything you care about with spaced repetition reviews on Rember.

DollhouseMCP

Official

A comprehensive Model Context Protocol (MCP) server that enables dynamic AI persona management with an integrated GitHub-powered marketplace, allowing Claude and other compatible AI assistants to activate different behavioral personas.

A local, persistent memory system for AI coding assistants that stores decisions, patterns, and session context via MCP tools. It enables cross-session memory management using SQLite and optional vector search without external dependencies or cloud storage.

A Model Context Protocol server that provides persistent memory capabilities for AI systems, enabling true continuity of consciousness across conversations through episodic, semantic, procedural, and strategic memory types.

Enables persistent memory for AI systems by providing tools for episodic, semantic, and procedural data storage through a vector-and-graph-enhanced database. It allows models to maintain long-term continuity using similarity search, thematic clustering, and identity tracking.