Amela MCP Memory Tool

A local, high-performance memory server for AI agents, built with SQLite, vector embeddings, and a knowledge graph. Packaged for npm and Docker.

Query and interact with FalkorDB graph databases using AI models.

An MCP server powered by txtai for semantic search, knowledge graphs, and AI-driven text processing.

Embeddings, vector search, document storage, and full-text search with the open-source AI application database

Neo4j graph database server (schema + read/write-cypher) and separate graph database backed memory

MCP server for Apache AGE graph databases on PostgreSQL. 21 MCP tools — the most comprehensive Apache AGE MCP server (graph CRUD, Cypher queries, batch transactions, semantic search, Graph RAG, vis.js visualization, export/import) - F#/.NET — the only non-Python Apache AGE MCP server, installs as a single dotnet tool - Production-grade — BenchmarkDotNet-verified performance (cached queries in 62 ns, Cypher in 1 ms) - Open source — MIT license, published on NuGet - Documentation — full docs site at neftedollar.com/age-mcp

A server for interacting with ArangoDB, a native multi-model database system.

A framework for building and querying temporally-aware knowledge graphs for AI agents.

Enables memory for Claude using a knowledge graph with fuzzy semantic search and persistent storage.

A vector database server for storing, searching, and managing vector embeddings.

A production-ready persistent memory system for AI agents, offering searchable memory across sessions with semantic search and support for multiple database backends.