Persistent-memory (SQLite) MCP server, derived from `my-local-storage-mcp`. Features the same tools (`remember_fact`, `recall_facts`, `recall_by_topic`), the same consolidation logic, and the same plugin system.

MCP server for enabling persistent knowledge storage for Claude through a knowledge graph with multiple storage backends

MCP server for persistent memory with JSON storage and atomic fact operations

MCP server for enabling persistent knowledge storage for Claude through a knowledge graph with multiple storage backends and fuzzy search

Local-first persistent memory layer for AI agents. SQLite-backed, MCP-compatible, cross-agent. Privacy: secret-blocking writes, file-only storage.

MCP Context Server — a FastMCP-based server providing persistent multimodal context storage for LLM agents.

LLM local persistent storage for security nerds

Enable AI agents to store, search, and delete persistent memories across sessions to enhance context retention and recall. Integrate seamlessly with Mem0.ai's cloud or self-hosted Supabase storage for scalable and reliable memory management. Optimize your LLM applications with advanced filtering, semantic search, and flexible storage modes tailored to your needs.

MCP server for persistent document storage with full-text search

The runtime layer for Agentic AI. 121 MCP tools: persistent memory, autonomous agents, vault storage, scheduled workflows, DeFi on Base (base_mcp_*), Robinhood Chain tokenized stocks and arbitrary crypto with V3/V4 smart routing (rh_*), live market data,

MCP server for Claude that provides persistent note-taking with JSON file storage

Persistent file storage for AI agents: a hosted MCP server. Save files, get a link a human can open.

MCP server for persistent memory with JSON storage and atomic fact operations

Persistent memory extension for Gemini CLI with local SQLite storage, hook-based recall/write, and optional MCP tools

MCP database server, free tier — one endpoint, 15 engines, persistent storage for AI assistants

A local Model Context Protocol server for training small text classifiers with Extreme Learning Machines (ELMs). It supports in-memory inference and optional SurrealDB persistence, prediction monitoring, and vector storage.

MCP Context Server — a FastMCP-based server providing persistent multimodal context storage for LLM agents.

A lightweight Model Context Protocol (MCP) server that provides persistent bookmark management for Claude and other MCP-compatible clients. Features categorized storage, resource discovery, and seamless integration with your AI workflow.

Persistent semantic memory server for MCP - Give your AI long-term memory that survives across conversations. Lightweight Python server with SQLite storage and semantic search.

Persistent memory for AI coding agents: automatic capture, explainable recall, knowledge consolidation, privacy controls, and portable offline storage. One Python file, zero dependencies.

MemoryLoom is an MCP-compatible memory server for editors, IDEs, and AI clients. It provides persistent memory with a clean tool interface, metadata-aware retrieval, and pluggable storage backends.

Persistent multi-path memory for AI agents — vector + BM25 keyword + entity graph search with RRF fusion, credential scrubbing, auto-consolidation, multi-backend storage (Qdrant + SQLite/Postgres)

Tiny TODO MCP is a specialized server that implements the Model Context Protocol (MCP), allowing AI assistants to interact with persistent storage for tasks. This enables AI models to maintain context over time and create and manage tasks beyond their usual context limitations.

CodeMind is an AI agent memory system that maintains persistent, real-time context over complex codebases. By utilizing symbol graph storage, AST chunking, and intelligent file scanning, CodeMind enables LLMs to reason about relationships across large code structures without losing track of dependencies

A local MCP server that gives code agents (Claude Code, Antigravity, and any other MCP client) a shared, persistent graph memory, backed by Kuzu — an embedded database purpose-built for graph storage and graph search — plus a live web dashboard showing the memory graph and an activity log.

**Persistent decision memory for AI coding agents.** Selvedge records why code changed, which approaches were rejected, and when decisions deserve another look, so future sessions can retrieve that context before editing. Query a function, database column, API route or dependency instead of reconstructing its history from an old conversation. Claude Code, Codex, Cursor, Copilot, Gemini CLI and Windsurf can connect through MCP. The CLI works independently. Decisions live in a local SQLite store, with no required hosted account and no LLM in the core storage or retrieval path. A saved explanation is testimony supplied by a person or agent. Selvedge does not extract hidden model reasoning, verify that an explanation is true, or guarantee that an agent will consult it. [Compatibility and capabilities](https://selvedge.sh/reference/compatibility/) · [56-second technical demo](https://youtu.be/wXoA9htThAM)

Persistent memory for AI agents — store, retrieve and search knowledge across sessions

PostgreSQL-backed virtual filesystem exposed via MCP tools. Persistent, session-isolated file operations for AI agents.

MCP server for AgentImprint sovereign memory — usable from any MCP harness

跨进程共享的持久记忆池 — 独立于 BIT 自带 memories.json 的中央记忆服务，CLI / HTTP API / MCP 多路接入，JSONL 落盘（BIT 生态）

MCP server providing AI agents with persistent, PostgreSQL-backed virtual filesystem — session-isolated file operations, cross-session stores, glob/grep search, and Row Level Security

面向 agent 的持久化业务级攻击面知识库。把 srcradar 的"业务名 → 法律实体图谱 → 主动测绘资产(小程序/公众号 + Web 范围 → 子域名/端口/指纹) → 每日增量 diff"通过 MCP 协议暴露出来,让任何 agent 无需重新扫描即可直接拿到已知资产清单与最新变动 —— 跳过信息收集,从已识别的目标开始

MCP server providing persistent key-value memory for AI agents with TTL and search

🧠 Persistent local memory for AI assistants across conversations. SQLite, no cloud, no config, works with any MCP client.

Code Box is a self-hosted, open-source Model Context Protocol (MCP) server that provides AI agents with a secure, stateful environment to execute Python and JavaScript code. It acts as a direct, zero-cost replacement for Azure Assistants Code Interpreter by persisting variables across calls, and safely executing read-only SQL querys