Alternatives to Rushdb

Mem0 is an AI memory layer that gives agents and apps persistent, cross-session context

Open-source context intelligence and persistent memory for LLM agents, deduping and compressing in ~12ms with no LLM calls.

Zero-LLM persistent memory for AI agents — deterministic, auditable, and fully offline.

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

Dkg Engine is the self-hosted node software for the OriginTrail Decentralized Knowledge Graph — verifiable, AI-ready memory for agents.

TiDB is an open-source distributed SQL database for AI agent memory, vector search, ACID transactions, and real-time HTAP analytics.

Memgraph is an in-memory graph database built for GraphRAG, AI memory, and real-time graph analytics on one engine.

MemoryLake gives AI assistants and agents portable, encrypted cross-model memory.

API-first document parsing that turns 20+ formats into structured JSON for AI agents and RAG pipelines.

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

Local-first memory and secrets for AI agents that run Claude Code, Codex, and OpenCode

AutoMem gives MCP-based AI agents persistent graph-vector memory with relational recall.

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

AI-native graph database engine that fuses GraphRAG vector search with OpenCypher traversal at sub-10ms P99 latency

Shared structural memory for multi-agent coding: one live code map, many agents, nothing lost

One universal database engine that fuses vector, graph, document, columnar, key-value, and full-text search behind a single SQL query.

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.

Long-term memory for AI agents: one API call per turn stores facts and returns the memories your next prompt needs.

Open-source protocol suite that standardizes LLM, vector, graph, and embedding calls across AI frameworks so you swap providers in config, not code.

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 that turns messy documents into a trustworthy context layer for AI agents, with ETL, hybrid search and agentic retrieval.

Open-source vector database for billion-scale AI similarity search and RAG

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

Granica cuts data lake storage and processing costs and keeps long-running AI agents from losing their place.

Vespa is a distributed AI search platform unifying vector, text, and ML ranking at scale.

pgvector adds open-source vector similarity search to Postgres so you keep embeddings next to your relational data.

Vespa AI is an open-source search platform that unifies vector, text, and ML ranking at scale.

Fully managed vector lakebase for billion-scale AI search, RAG, and recommendations, built on open-source Milvus.

Open-source search infrastructure for AI that keeps vectors, metadata and indexes on cheap object storage.

Apache Doris: open-source real-time SQL analytics, full-text search, and vector search for AI