memento-mcp and MegaMemory
The second tool, MegaMemory, is an ecosystem sibling to Memento MCP, as it explicitly states it is an "MCP server," indicating it is built upon or provides a server implementation compatible with the Memento MCP system.
About memento-mcp
gannonh/memento-mcp
Memento MCP: A Knowledge Graph Memory System for LLMs
Implements a Neo4j-backed knowledge graph with semantic search via vector embeddings, temporal versioning, and confidence-weighted relations for persistent LLM memory across MCP-compatible clients. Supports hybrid search combining vector similarity with keyword matching, automatic schema initialization, and point-in-time graph retrieval for tracking historical knowledge evolution. Integrates directly with Claude Desktop, Cursor, and GitHub Copilot through the Model Context Protocol.
About MegaMemory
0xK3vin/MegaMemory
Persistent project knowledge graph for coding agents. MCP server with semantic search, in-process embeddings, and web explorer.
Uses in-process ONNX embeddings (all-MiniLM-L6-v2) and SQLite with WAL for zero-dependency semantic search and persistence. Operates as an MCP stdio server integrated with Claude Code, OpenCode, Antigravity, and Codex, with built-in two-way merge conflict resolution for collaborative knowledge graph management across branches. The LLM itself acts as the indexer—concepts are stored in natural language rather than parsed code symbols—enabling agents to update the graph after each task and query semantic context before starting new ones.
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