An MCP server that automatically enhances user prompts by applying advanced engineering techniques like chain-of-thought and few-shot reasoning based on identified intent. It optimizes technique selection through local learning and integrates directly into Claude sessions to improve output quality without additional API costs.
An MCP server that automatically optimizes AI prompts using evolutionary algorithms, helping improve prompt performance, creativity, and reliability through iterative testing and refinement.
Engram MCP provides persistent, cross-session memory for AI agents by automatically encoding errors, decisions, and discoveries during development sessions. It enables local, intelligent recall and automated context management to help AI learn from experience and avoid recurring mistakes.
An advanced MCP server that intelligently enhances prompts using 44+ metaprompt strategies, with LLM-driven strategy selection and enterprise-grade features.
SuperMemory is an MCP-first learning memory layer for agents. It helps Claude, Cursor, and other MCP clients reuse validated lessons from prior failures, corrections, and outcomes without saving full transcripts.
MCP server for persistent, compounding memory that automatically captures corrections and insights across AI sessions, enabling agents to learn and improve over time.
