mcp-memory-libsql and MegaMemory
About mcp-memory-libsql
spences10/mcp-memory-libsql
🧠 High-performance persistent memory system for Model Context Protocol (MCP) powered by libSQL. Features vector search, semantic knowledge storage, and efficient relationship management - perfect for AI agents and knowledge graph applications.
Implements relevance-ranked text search with fuzzy matching across entities, observations, and relations using libSQL's full-text capabilities, optimized to minimize token consumption in LLM prompts. Supports both local SQLite and remote Turso databases via environment configuration, with token-based authentication for remote access. Exposes standard MCP memory operations (create/update/delete entities and relations, relationship exploration) through a text-search interface designed for AI agent knowledge persistence.
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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