DataTonic
by Josephrp
Notebook-first agent builder for data pipelines, swarms, and visual analysis
What It Does
Builds data-capable agents and swarms that run commands, process datasets, populate semantic memory, and produce visual analyses guided by the Planning Pattern. Uses notebook-driven workflows and connectors (chroma, Azure, semantic-kernel) to persist data and memory while coordinating multi-agent tasks as outlined by the Human-in-the-Loop Pattern. Distinctive features include dataset creation pipelines, secure command execution, and built-in visualization for agent outputs and datasets.
Key Benefits
Best For
Researchers and engineers who need to spin up data-focused agent swarms to collect datasets, audit behaviors, and prototype agent-driven analyses. Leverage Ground Truth to ground evaluations in verifiable data.
Applications
- Generate reproducible datasets by running swarms of agents on data collection tasks
- Capture semantic memory and logs to build evidence for agent-to-agent evaluation
- Visualize agent outputs and analyses to audit behaviors and debug failure modes