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.
Persists project context across AI sessions using SQLite with full-text and semantic vector search (HuggingFace transformers + sqlite-vec), enabling agents to auto-brief from history and hand off context via structured session summaries. Provides 61 MCP tools organized in 10 groups including GitHub Commander for automated issue triage, PR review, and audit workflows, plus dynamic multi-repo routing via PROJECT_REGISTRY for managing multiple projects with a single server instance. Architecture emphasizes structured error handling with classification codes and recovery hints for agent reliability, backed by 96.7% test coverage and Alpine Docker deployment.
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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