"Understanding or Using Memory Lists" matching MCP servers:

Local, searchable project memory for AI coding agents. Markdown source of truth, MCP interface, safe structured updates

Provides persistent memory with semantic search for MCP-based AI agents, enabling them to store and recall information across sessions using vector embeddings.

An MCP server that gives AI models a persistent notebook backed by a folder of Markdown files, with tools to discover, read, write, edit, and delete notes.

Governed cross-agent memory for coding agents with hybrid retrieval, provenance tracking, and cross-machine sync.

A stateless MCP server that gives coding agents a curated entry point to shared memory, orchestrating Hindsight (facts) and LightRAG (corpora) for automatic routing, URL ingestion, and consistency tooling.

MCP server for memory management with process inspection and cleanup tools.

Persistent, searchable per-project memory for Claude Code using DuckDB and vector search, with rule enforcement and a management UI.

Provides a persistent "second brain" for Claude featuring zero-latency hot caching, semantic cold storage, and automatic pattern mining from activity logs. It enables users to store, search, and automatically extract project facts and code patterns for enhanced contextual recall.

Persistent, searchable project memory for Claude Code. Each project has its own local DuckDB with vector embeddings, auto-loading context at session start.

A vendor-agnostic cognitive persistence layer for AI agents. Eliminate the "repetition tax" by transporting your context, preferences, and history across sessions. Features an auto-adaptation engine that syncs global instructions to ensure operational cohesion and optimize token usage across any LLM or multi-agent workflow.

Persistent local semantic memory for MCP tools, enabling storing and searching notes by meaning using local embeddings and SQLite.

Persistent memory management for AI assistants like Claude, enabling creation, search, and retrieval of memories with tagging and triggers.

Enables AI clients to search live documentation for popular developer libraries and return clean, source-cited summaries via a RAG pipeline.

I gave Claude a mass grave of 200 markdown files and now it remembers my entire project between sessions. No cloud, no API keys, one 10mb Go binary, and private. Stateless Agent Memory Engine is your synapse to the CLI.

An MCP server providing vision understanding tools (image QA, OCR, video and document understanding) via OpenAI-compatible endpoints, defaulting to Zhipu GLM vision models.

Enables searching X (Twitter) using the xAI Grok API to get summarised answers with citations. Supports filtering by handles, date range, and image/video understanding.

Enables querying Mexico's SAT public lists to verify RFCs in bulk, search by business name, and obtain tax risk verdicts such as critical, high, medium, low, or clean.

Local-first memory for AI coding agents using SQLite, enabling persistent recall of decisions, lessons, and project context without cloud or API keys.

Enables read-only local disk cleanup scanning via MCP, allowing clients to find large files, duplicates, junk extensions, and old files, and generate cleanup lists without deleting or modifying anything.

The open-source, self-organizing memory for all your AI tools. Persistent memory over MCP (remember, recall, observe): background agents extract entities, resolve conflicts, and keep cited syntheses current in an append-only, encrypted, single-tenant vault.