memory-journal-mcp and context-engineering
About memory-journal-mcp
neverinfamous/memory-journal-mcp
MCP Server for AI Context + Project Intelligence. Overcome Disconnected AI Sessions with Persistent Project Memory, Automatic Session Briefing & Summation, Triple Search, Knowledge Graphs, GitHub Integration (Actions, Insights, Issues, Kanban, Milestones, and PRs), Automated Scheduling, 42 Tools, Tool Filtering, and HTTP/SSE & stdio Transport.
This tool helps project managers and team leads using AI assistants overcome the problem of AI 'forgetting' past project context. It ingests your project's activity and AI conversations, then provides a persistent, searchable memory and automatically briefs AI agents on relevant history for ongoing tasks. This is ideal for development teams and managers who rely on AI for support in complex, long-running software projects.
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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