memory-journal-mcp and memorix
These two tools are ecosystem siblings: Project A leverages MCP (Memory Control Protocol) as its underlying mechanism for cross-IDE memory persistence, while Project B specifically provides an MCP server designed for managing AI context and project intelligence.
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 memorix
AVIDS2/memorix
Cross-Agent Memory Bridge Persistent memory for AI coding agents across 10 IDEs (Cursor, Windsurf, Claude Code, Codex, Copilot, Kiro, Antigravity, OpenCode, Trae, Gemini CLI) via MCP. Team collaboration, auto-cleanup, mini-skills, workspace sync. Never re-explain your project again.
This project gives AI coding agents a shared, persistent memory that goes beyond a single conversation or IDE. It helps developers and engineering teams using multiple AI coding agents like GitHub Copilot or Gemini CLI by allowing agents to remember past project details, decisions, and reasoning across different sessions and development environments. The result is that you don't have to re-explain your project to your AI assistant repeatedly.
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