reductstore_agent
- Software
- Middleware
- Tool
A ROS 2 node that records selected topics into a ReductStore instance, with YAML-based configuration. The project is in maintenance mode, with Reduct Bridge named as the actively developed successor.
Made by ReductStore, Germany (checked on github.com/reductstore (opens in a new tab)).
Source on GitHub: github.com/reductstore/reductstore_agent (opens in a new tab). Facts read at commit da79553 (opens in a new tab).
Licenses
- Code
- MIT (opens in a new tab)
Read by Robotheca from LICENSE (opens in a new tab) (MIT) at commit da79553 (opens in a new tab), on 16 Oct 2026.
- Commercial use
- Yes
What it does
- Records selected ROS 2 topics and streams them to ReductStore in near real-time.
- Splits recordings by time, size, or topic groups to avoid oversized rosbag files.
- Supports optional compression, filtering, and dynamic labels to tag and retrieve data segments.
- Includes an optional rosbag_replayer node for playing back recorded bags at a chosen rate.
- Distributed as a Snap package and suitable for Ubuntu Core based robotic systems.
- Configuration options and pipeline behavior are documented on the ReductStore website.
Written by Robotheca from the project's README (opens in a new tab) at commit da79553.
Getting started
- Difficulty
- Intermediate
- Hardware it needs, as the project states it
- A running ReductStore instance, which can be started locally with Docker, via Snap, or from binaries. Tested with ROS 2 Jazzy and Rolling on Ubuntu 24.04 with Python 3.12.
- How to start
- The project's README (opens in a new tab)
Maintenance
- Status
- Maintained: a commit in the last 12 months
- Newest commit
- 25 Mar 2026 on main
- Latest release
- Release v0.2.0 (21 Sept 2025)
Checked on GitHub on 16 Oct 2026.
Links
Robots that can run it
No robot on Robotheca is linked to it yet. Links come from a robot's robot.yaml, from its dependency files read as text, or from Robotheca's editors.
Robotheca lists software as a reference: nothing is hosted or run here, and every fact links to where it was read.