BadgerDB integration

What the BadgerDB package does

BadgerDB is an embeddable, persistent and fast key-value (KV) database.

Embeddable key-value database using BadgerDB (dgraph-io/badger). Supports persistent disk storage and in-memory mode. Provides CRUD operations (Open, Close, Get, Set, Delete, List) with configurable encoding/decoding (JSON, string, int64, float64, bool). Set supports TTL expiration. Features atomic transactions (Start Transaction, Commit Transaction), merge operations for counters (increment/decrement) and JSON object merging (Start Merge, Merge, Stop Merge), key listing with prefix filtering, CSV export with configurable separators, and full backup/restore (both live and offline). No authentication required.

Namespace

Robomotion.BadgerDB

Latest version

0.5.0 (13 versions published)

Written in

Go

Categories

Database

BadgerDB nodes (15)

These are the node IDs an agentic flow or an RPA bot uses, exactly as they appear in the Flow Designer and in flow code. An agent tool node can also be called by an AI agent on its own. The Toolkit node hands an agent several of the package operations at once.

Platforms

The BadgerDB package runs on Windows, macOS and Linux robots. Any Robomotion robot on these operating systems can run a flow that uses it.

How to install the BadgerDB package

1. Open Packages in the Robomotion Flow Designer.
2. Search for BadgerDB or Robomotion.BadgerDB, then click Install on its card.
3. The BadgerDB nodes appear in the node palette for everyone in the workspace, because installation is per workspace.

From a terminal, the Robomotion CLI installs the same package:

robomotion install Robomotion.BadgerDB

Related integrations

Packages that share a category or keywords with BadgerDB. It is filed under Database.

• BaserowConnect to Baserow and manage rows, tables, and fields. Baserow is an open-source no-code database platform.
• Bika AIConnect to Bika AI and manage spaces, database records, and attachments
• ClickHouseClickHouse is the fastest and most resource efficient open-source database for real-time apps and analytics.
• LanceDBStore and search embeddings in LanceDB - the embedded vector database. Works against a local directory, S3/GCS/Azure object storage or LanceDB Cloud. Vector, full-text and hybrid search, SQL filters, upserts, indexing, plus a Toolkit that hands the whole database to an AI agent.
• Microsoft SQL ServerMSSQL (a relational database management system developed by Microsoft) package for performing database operations such as execute query or non queries.
• MongoDBMongoDB (a source-available cross-platform document-oriented database program. Classified as a NoSQL database program) package for performing document or database operations.

BadgerDB documentation

The BadgerDB package reference on docs.robomotion.io documents each node and its properties.