Alternatives to Memgraph

Vespa AI is an open-source, distributed search and serving engine that runs vector, text, and structured retrieval with machine-learned ranking in the same

Apache Doris: an open-source real-time SQL database that unifies OLAP analytics, full-text search, and vector search in one engine.

NodeDB fuses vector search, graph, document, columnar, key-value, full-text, sparse array, and CRDT into one universal database engine

AI memory layer that gives agents and apps persistent, cross-session context

Vespa is an open-source distributed search and AI platform that unifies vector, text, and structured retrieval with machine-learned ranking in one engine.

Open-source distributed SQL database unifying transactions, HTAP analytics, and native vector search for AI agents.

Open-source context intelligence and persistent memory for LLM agents: semantic dedup and deterministic compression in ~12ms with no LLM calls.

Memori is an LLM-agnostic agent memory layer that turns agent trace and conversation into structured, auditable persistent state.

Open-source, cloud-native data warehouse in Rust that runs analytics, vector search, full-text search, and geospatial on object storage.

Open-source, self-hosted memory engine that gives AI agents persistent, inspectable state with full audit trails.

Self-hosted memory and secrets layer that gives Claude Code, Codex, and OpenCode agents persistent context on your own machine

AI-native graph database running vector similarity and OpenCypher traversal in one query for GraphRAG pipelines.

Open-source, self-hosted graph memory engine that gives AI agents sentence-level recall across sessions—runs on SQLite or your own production database.

Self-hosted node software for the OriginTrail Decentralized Knowledge Graph — verifiable, AI-ready memory that your agents own.

OttO is a local-first knowledge graph that runs an MCP server on your machine so AI agents can query your notes directly.

ALIVE is a free, MIT-licensed local context manager that gives Claude Code durable, file-based project memory across sessions.

Open-source context retrieval layer that syncs your apps and databases and answers AI agent queries with grounded, real-time data.

TopK is a unified retrieval engine — search, multi-vector models, and inference in one API for high-recall RAG and agent memory at billion-document scale.

Graph and vector persistent memory for AI agents — push JSON, get a typed, searchable graph.

Fully managed vector database and knowledge platform for AI retrieval, with Pinecone Nexus compiling enterprise data into governed knowledge for agent queries.

Open-source RAG engine with built-in ETL, hybrid search and agentic retrieval for enterprise AI agents.

Open-source vector database for billion-scale similarity search, hybrid retrieval, and RAG

Open-source Microsoft Research RAG that builds a knowledge graph and community summaries from your documents, then queries them in four modes.

Open-source multimodal lakehouse that keeps curation, feature engineering, hybrid search, and training on one Lance table.

Developer observability platform that traces, replays, and debugs AI agent runs across OpenAI, CrewAI, Autogen and 400+ LLMs

Fully managed serverless vector database on Milvus with tiered storage and usage-based billing for GenAI apps

Open-source local-first AI memory that stores every conversation verbatim in a method-of-loci palace on your machine.

Portable, encrypted memory that follows you across ChatGPT, Claude, Codex, Gemini and any API model.

Free, MIT-licensed web admin UI for the Chroma embedding database, built with Next.js

API-first document parsing that turns PDFs, spreadsheets, and slides into source-linked structured JSON for AI agents and RAG pipelines.