nocturne_memory and context-engineering
About nocturne_memory
Dataojitori/nocturne_memory
A lightweight, rollbackable, and visual Long-Term Memory Server for MCP Agents. Say goodbye to Vector RAG and amnesia. Empower your AI with persistent, graph-like structured memory across any model, session, or tool. Drop-in replacement for OpenClaw.
This project offers a long-term memory server that helps AI agents remember who they are and their past experiences across different sessions and models. It takes in structured memory entries, which can be created or updated by the AI itself, and provides a persistent, graph-like knowledge base. This is for developers building and managing AI agents who want their creations to have a continuous, evolving identity rather than starting fresh with each interaction.
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.
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