MindDory

A self-hosted MCP server that gives AI Agents persistent memory across sessions, projects, and machines.

AI trading memory layer for MT5/forex with 15 MCP tools — store/recall trades, pattern discovery, strategy evolution, and Outcome-Weighted Memory.

Hosted MCP server for persistent, shared AI agent memory

Two-layer memory for AI agents with an immune system — episodes compress into identity through citation-validated graduation. Zero dependencies, 5 MCP tools.

AI learning assistant that manages game time rewards based on school grades, homework, and bonus tasks

A deliberately vulnerable MCP server for hands-on penetration-testing practice — 26 challenges, 78 capture-the-flag flags, plus a victim-agent harness that shows a real LLM agent being exploited.

A lightweight MCP server for semantic memory storage, knowledge graphs, and cross-session context

A production-ready Model Context Protocol (MCP) server that provides a powerful, vector-native memory bank for AI agents. Built with the Protocol-Lattice Go Agent Framework, this server offers persistent, searchable, and shareable memory with multiple database backends.

Mnemex is a Python MCP server that provides AI assistants with human-like memory dynamics through temporal decay and natural spaced repetition, storing memories locally in human-readable JSONL and Markdown formats.