Contexta vs mcp-memory-graph

Contexta gives AI assistants a persistent, typed memory layer backed by a knowledge graph. One tool call searches across keyword, vector, and graph indexes simultaneously — so your agent finds the right context whether it remembers a phrase, a concept, or a relationship between entities.

A context-aware memory MCP server for Claude Code and any MCP-compatible AI agent. Goes beyond basic vector search by adding authority weighting, conflict detection, and typed relationship edges between memories — so your agent always retrieves the right answer when sources disagree. Inspired by t

Agents

MCP Servers

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