memory-journal-mcp and simple-memory-mcp

memory-journal-mcp
53
Established
simple-memory-mcp
48
Emerging
Maintenance 10/25
Adoption 5/25
Maturity 24/25
Community 14/25
Maintenance 10/25
Adoption 4/25
Maturity 24/25
Community 10/25
Stars: 11
Forks: 3
Downloads:
Commits (30d): 0
Language: TypeScript
License: MIT
Stars: 6
Forks: 1
Downloads:
Commits (30d): 0
Language: TypeScript
License: MIT
No risk flags
No risk flags

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 simple-memory-mcp

chrisribe/simple-memory-mcp

🧠 Blazingly fast persistent memory for AI assistants. Sub-millisecond SQLite storage with smart tagging, full-text search, and automatic relationships. MCP server + CLI.

Implements an MCP server with a GraphQL interface for memory operations, storing data in local SQLite with BM25 full-text search scoring rather than embeddings. Integrates directly with Claude Desktop and VS Code via MCP protocol, plus includes a CLI for manual queries and a web interface for browsing stored memories. Designed as a lightweight alternative to RAG systems for single-user local knowledge management without vector databases or cloud dependencies.

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