brain-mcp and context-engineering

brain-mcp
55
Established
context-engineering
50
Established
Maintenance 10/25
Adoption 7/25
Maturity 22/25
Community 16/25
Maintenance 10/25
Adoption 6/25
Maturity 15/25
Community 19/25
Stars: 25
Forks: 6
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 17
Forks: 17
Downloads:
Commits (30d): 0
Language: Python
License: MIT
No risk flags
No Package No Dependents

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.

personal-knowledge-management cognitive-assistance idea-recall project-re-entry adhd-productivity

About context-engineering

timothywarner-org/context-engineering

🧠 Stop building AI that forgets. Master MCP (Model Context Protocol) with production-ready semantic memory, hybrid RAG, and the WARNERCO Schematica teaching app. FastMCP + LangGraph + Vector/Graph stores. Your AI assistant's long-term memory starts here.

This project helps you build AI assistants that can 'remember' past interactions and information, preventing the common problem of AI forgetting context. You feed it data and instructions, and it produces an AI system with robust long-term memory capabilities. This is for AI developers, researchers, and engineers who want to create more intelligent and consistent conversational AI.

AI-development conversational-AI large-language-models semantic-memory AI-engineering

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