Data & Research · GitHub ·158 ★

rushdb

RushDB is a graph + vector database and memory layer for AI agents. Push any JSON, get typed, searchable, relationship-aware records back — no schema, no migrations. Built on Neo4j.

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Details

Author
rush-db
Category
Data & Research
Platform
GitHub
Framework
custom
Language
typescript
Stars
158
First indexed
2026-05-28
Last active
2026-05-25
Directory sync
2026-05-28
@rush-db

Overview

RushDB is a graph + vector database and memory layer for AI agents. Push any JSON, get typed, searchable, relationship-aware records back — no schema, no migrations. Built on Neo4j.

Quick start

git

git clone https://github.com/rush-db/rushdb

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What rushdb can do

llmembeddingragdata
  • Llm — llm task automation.
  • Embedding — Computes vector embeddings for semantic search.
  • Rag — Retrieves grounded context before answering.
  • Data — Reads, transforms, and analyses structured data.

Frequently asked questions

What is rushdb?
RushDB is a graph + vector database and memory layer for AI agents. Push any JSON, get typed, searchable, relationship-aware records back — no schema, no migrations. Built on Neo4j.
How do I install rushdb?
Use git: `git clone https://github.com/rush-db/rushdb`. Full setup details on the source page linked above.
Is rushdb open source?
rushdb is published on GitHub.
What are alternatives to rushdb?
Comparable agents include autoresearch, OpenBB, MinerU. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for rushdb is sourced from GitHub, published by rush-db.

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