A
license-
qualityD
maintenanceA-MEM is a self-evolving memory system for coding agents that automatically organizes knowledge into a Zettelkasten-style graph with dynamic relationships, enabling semantic and structural search.
34
MIT
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"A tool or guide for creating a memory card game" matching MCP servers:
- Flicense-qualityDmaintenanceProvides an intelligent, graph-based memory system for LLM agents using the Zettelkasten principle, enabling automatic note construction, semantic linking, memory evolution, and autonomous graph maintenance with background optimization processes.10
- Alicense-qualityDmaintenanceEnables AI consciousness continuity and self-knowledge preservation across sessions using the Cognitive Hoffman Compression Framework (CHOFF) notation. Provides tools to save checkpoints, retrieve relevant memories with intelligent search, and access semantic anchors for decisions, breakthroughs, and questions.1MIT
- Alicense-qualityCmaintenanceMCP server that enables persistent, hybrid, local memory for LLM agents, with vector + BM25 search, knowledge graph, and policy-driven retention, providing token-budgeted context injection for AI assistants.MIT
- Alicense-qualityAmaintenanceProduction-ready MCP server providing RAG, hierarchical memory, and 8+ tools for AI agents via the Model Context Protocol.41Apache 2.0
- Alicense-qualityBmaintenanceA semantic-memory MCP server that stores text 'memories' with provenance and enables recall by meaning (vector search), keyword (FTS5), or structured filters.16MIT
- AlicenseAqualityAmaintenanceAn MCP server that transforms books into agent-callable skill packages, enabling AI agents to use books as guides for evidence, procedures, and tutoring.201MIT
- Alicense-qualityAmaintenancePersists Claude Code sessions to Notion as team memory, enabling queryable recall of decisions, work state, and project architecture.MIT
- Flicense-qualityCmaintenanceAuto-captured, auto-recalled, path-scoped memory for AI coding agents and teams.1
- Flicense-qualityBmaintenanceSlipstream - Built by Vektor Memory - a persistent multi-layered memory architecture. 4-layer associative graph memory (MAGMA) with autonomous REM cycle, CLI, DXT-MCP Cloak Tools.4
substrate-memoryofficial
Alicense-qualityCmaintenanceProvides Claude Co-work with MCP tools to search and record organizational memory, including search, read, query, ingest, remember, sync, and status operations.MIT- Alicense-qualityCmaintenanceMCP server providing durable Substrate organizational memory tools, including search, read, query, ingest, remember, and sync. It integrates with Codex to automatically capture completed turns and session boundaries for persistent memory.MIT
- Alicense-qualityDmaintenanceProvides a 'reflect' tool that creates cognitive checkpoints for AI assistants, forcing structured step-by-step reasoning through complex problems to improve accuracy and maintain context during task execution.126MIT
- Alicense-qualityCmaintenanceMCP server that connects Claude Code to Substrate organizational memory, providing tools for searching, reading, querying, and writing memory, with automatic capture of conversation turns.MIT
- Flicense-qualityCmaintenanceA local-first RAG system that indexes personal documents and enables querying them via an MCP tool, keeping data private with local embeddings.
- Flicense-qualityDmaintenanceA modular, extensible MCP multi-server hub that gives LLMs sandboxed file access, Git operations, web fetching, and persistent memory, deployable via Ansible.
- Flicense-qualityDmaintenanceA knowledge-graph-based memory system for AI agents that enables persistent information storage between conversations.6
- AlicenseAqualityBmaintenanceMulti-user, file-backed MCP memory server enabling isolated namespaces and persistent memory across sessions and AI clients.923MIT
- FlicenseAqualityDmaintenanceCentral registry for AI tools with vector search and knowledge graph, enabling intelligent tool discovery, chaining, and execution via MCP.12
- AlicenseAqualityCmaintenanceA different approach from typical persistent-memory MCPs. Instead of a local SQLite + embeddings store, the memory lives as plain files in a .ai-memory/ directory you commit to your repo (facts.jsonl, decisions/\*.md, gotchas.md). Git is the sync layer — what one Claude/Cursor/Cline learns about a repo, the next session (or a teammate's agent) picks up automatically. 5 MCP tools: get_rep51MIT