MCP-enabled AI conversation engine with MCTS analysis, FastAPI backend, and async operations for building advanced LLM applications

DevContext is a cutting-edge Model Context Protocol (MCP) server designed to provide developers with continuous, project-centric context awareness. Unlike traditional context systems, DevContext continuously learns from and adapts to your development patterns and delivers highly relevant context providing a deeper understanding of your codebase.

Cursor10x is a comprehensive suite of tools that enhances the A.I. agent's capabilities within the Cursor IDE, providing persistent memory across sessions, standardized task management, and enforced best practices through cursor rules.

Decentralized memory-sharing protocol for AI agent

DevContext is a cutting-edge Model Context Protocol (MCP) server designed to provide developers with continuous, project-centric context awareness. Unlike traditional context systems, DevContext continuously learns from and adapts to your development patterns and delivers highly relevant context providing a deeper understanding of your codebase.

Portable Agent Memory. Connect your AI conversations. Remember everything. Everywhere.

Memory that enables AI agents to learn from past failures without weight updates

Long-term Agentic Memory with LangGraph | Deeplearning.ai

Core module of Sentinel OS - an offline-first, memory-persistent AI operating core for autonomous secure agents in zero-trust environments.

curated review of memory-related MCP (model context protocol) server options