OpenPond Desktop
The open-source harness, beside your local work.
Use agents with the files, terminals, browsers, and review tools your work already needs. Turn approved outcomes into Tasksets, evaluations, and model training from one local-first workspace.
Stay close to the work that becomes the learning signal.
OpenPond Desktop keeps conversations, source, tool results, approvals, and training evidence connected. Work locally, move execution into an isolated cloud sandbox when needed, and review every change before it becomes shared infrastructure or model data.
- 01
Work beside the source
Give agents the project, terminal, browser, files, and review context needed to complete real work instead of isolated chat prompts.
- 02
Review useful outcomes
Inspect edits, traces, generated artifacts, and conversations before promoting the best work into a reusable Taskset.
- 03
Improve and train
Run evaluations, refine the harness, and start a bounded model-training run only when the evidence supports it.
One continuous loop
From conversation to model without leaving the workspace.
Create Tasksets from reviewed work, compare baselines, inspect training runs, and decide which model version is ready to use. The source conversation and evaluation evidence stay attached to every decision.
One app. The whole harness.
Desktop uses the same open-source runtime and source-owned agent packages as OpenPond Web, CLI, and TUI.