brain-mcp and memora
Memora appears to be a server-side implementation of the Memory, Cognition, and Perception (MCP) system, providing semantic storage and knowledge graphs, while brain-mcp offers client-side tooling and utilities to interact with and leverage such a persistent memory system for AI agents.
About brain-mcp
mordechaipotash/brain-mcp
Your AI has amnesia. Persistent memory and cognitive context for AI. 25 MCP tools. 12ms recall.
This tool helps individuals, especially those with ADHD, manage and recall their past thoughts, ideas, and decisions made during conversations with AI assistants like ChatGPT or Claude. It takes your conversations with various AI tools as input and allows you to find specific insights, reconstruct mental states for projects, or understand how your thinking on a topic has evolved. This is ideal for anyone who relies on AI for brainstorming, problem-solving, or developing ideas and struggles with context switching or remembering details from past discussions.
About memora
agentic-box/memora
Give your AI agents persistent memory — MCP server for semantic storage, knowledge graphs, and cross-session context
This project helps AI agents remember information across different tasks and conversations, acting like a persistent brain. It takes in structured notes, conversations, and observations, then organizes them into a searchable memory and a visual knowledge graph. AI developers or researchers building sophisticated agents that need long-term context and recall would use this.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work