Knowledge & Memory MCP Servers — Page 17

Temporal knowledge graph of your codebase (Graphiti + Neo4j), served to AI agents via MCP.

Persistent memory for AI agents — semantic + recency search, ONNX embeddings, Docker Compose.

MemFlow MCP - A Model Context Protocol server for seamless memory management with intelligent search

Team engineering memory for AI coding assistants. 47 MCP tools, pgvector semantic search.

LLM Memory

Bi-temporal, provenance-carrying long-term memory for AI agents, in one SQLite file.

Bring MemPalace-style long-term memory to ChatGPT and remote AI agents.

<h2 align="center">Self-hosted MCP memory server for personal use and teams</h4>

Recall past Claude Code conversations from any project as clean, compact Markdown.

One shared, persistent memory across AI agents and systems, with semantic recall and live updates.

Persistent memory and virtual filesystem MCP server for AI agents.

Graph-based memory system for LLMs with knowledge graphs and semantic search.

Structured session journals for AI agents. Persistent memory across sessions.

Persistent memory for AI coding tools via MCP. Remembers across sessions and machines.

Search, read, create and edit your Memol notes from Claude. Team note-taking with AI search.

_{_{<i>"You never truly know the value of a moment until it becomes a memory."</i>}}

MCP server for enabling memory for Claude through a knowledge graph

Memori MCP server — persistent AI memory with recall and augmentation tools

A 100% local & private semantic memory MCP (Model Context Protocol) server for AI assistants. Built with ChromaDB for vector similarity search and FastMCP 2. Runs entirely locally - no data ever…

Local, explainable knowledge base for AI agents: hybrid search with provenance over SQLite.

Long-term memory for AI assistants. Isolated per-user storage, recall across conversations.

MCP server for remote management of project memory banks

Persistent long-term memory for AI agents: semantic search, knowledge graph, and task canvas.

Persistent memory for AI coding tools. 11 tools for any MCP-compatible AI tool.

This is an MCP server for retrieving all files in the memory-bank directory at once. Its purpose is to reduce AI tool invocation frequency when

Shared, persistent memory for AI agents — works with Claude, Kiro, Cursor, or any MCP client.

MCP server for memory search. Features record memory, search memory, add knowledge. From MEO...

[](https://mseep.ai/app/evangstav-python-memor

Persistent memory for AI agents. Remember, recall, and explore a shared knowledge graph.

An MCP server for a memory_bank knowledge base. It seeds one from nothing, gates every write against the rules the bank itself declares, routes to the right document without reading the bank, and…

MCP Server with Remote SSH support

Local-first graph memory for AI assistants with SQLite, semantic search, and MCP tools.

Local, explainable knowledge base for AI agents: hybrid search with provenance over SQLite.

Local codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Long-term memory MCP server for Claude Code. Stores facts in a local SQLite database with hybrid search (FTS5 + semantic vector similarity) and automatic context injection.

A Model Context Protocol server that provides knowledge graph management capabilities.

Developer journal with knowledge graphs, relationships, Git context, and semantic search

Cognitive memory for AI coding assistants — persistent memory across sessions

Local-first persistent memory for AI agents, with reasoning and formal verification.

memory-lean is an MCP server that gives Claude Code, Claude Desktop, Cursor and any other MCP client a knowledge graph that persists between sessions. It is a drop-in replacement for the reference…

Persistent memory and context window caching for LLM conversations. Save, retrieve, and manage memories with intelligent context archiving. MongoDB-backed storage.

Persistent memory + git snapshots for Claude Code. Never lose context or code.

A high-performance, **pure Rust** Model Context Protocol (MCP) server that provides persistent, semantic, and graph-based memory for AI agents.

A Model Context Protocol server that provides knowledge graph management capabilities. This server enables LLMs to create, read, update, and delete entities and relations in a persistent knowledge…

SQLite-backed MCP server for persistent memory, full-text retrieval, and graph traversal.

Every AI conversation starts from zero. Claude doesn't know which architecture decision you made last week. Cursor doesn't remember the bug you fixed

An MCP server that uses a knowledge graph to store and recall structured memory for AI models

Persistent semantic memory for AI agents with knowledge graphs and Intelligence Packs.

MemoryOracle - 10 agent memory tools: vector store, recall, summarization, redaction.

Local CLI that turns a coding goal into ranked, token-budgeted repository context for AI agents.

A lightweight, local Retrieval-Augmented Generation (RAG) memory store for MCP agents. Memory-Plus lets your agent record, retrieve, update, and

A complete Python port of the official [TypeScript MCP memory server](https://github.com/modelcontextprotocol/servers/tree/main/src/memory). This

Open-source memory backend for AI agents — REST API, MCP, OAuth, CLI, dashboard. One self-hosted service, every transport. Agents store decisions, share causal knowledge graphs, and retrieve context…

Persistent memory for AI agents. Search and store durable facts, preferences and decisions.

Add persistent memory to AI assistants. Store and recall info across conversations.

Every AI conversation starts from zero. MemPlato fixes that — it's a persistent memory layer for AI assistants, running entirely on your own device. Your data never leaves your phone.

Persistent memory for AI agents — remote MCP server. EU-hosted (Helsinki), privacy-first, deterministic recall with no LLM in the hot path.

AI continuity and memory hub for portable context, checkpoints, and cross-AI memory.

shared AI-context layer for teams — persistent memory your agents search and update over MCP

Agent memory with git-like version control. Custom LLMs turn conversations into structured facts with automatic conflict detection - your agent sees