# Agent Studio

Sketches small agent graphs, runs them against your own local Ollama model, and writes a transcript and brief for each run — no cloud.

Status: active

## The Problem

Sketching how a few agents should hand off — intake, planner, orchestrator, executor — usually happens in your head or on a whiteboard, then gets lost in code. There's no quick way to draw the graph, run it against a real model, and see where it breaks before committing to an implementation.

## What I Built

![Agent Studio canvas — an Intake → Plan → Execute agent graph with connected nodes, a node inspector (title, description, role, instructions) on the right, snapshots, and a test query run against a local Ollama model ::border](/images/projects/agent-studio/canvas.jpg)

A local visual canvas for designing and testing small agent graphs against a locally-running Ollama instance — no cloud. You drag nodes (agent, tool, subagent roles), connect their ports into a DAG, then run the graph with live per-node status streaming. Each run writes a `transcript.json` and a `brief.md`.

## The whole graph runs on your machine

Everything runs locally; state lives in `localStorage` with a panel to promote it to disk. Beyond the basic run loop:

- **Per-node mocks and fixtures** — pin a node's output to test the rest of the graph deterministically
- **Solo-node and step runs** — execute one node, or step through with an inspector
- **Snapshots** — save and restore canvas states
- **Import / export** — round-trip a graph as Markdown or a JSON spec

![Agent Studio onboarding — the three core gestures (drag a node, drag from a port to connect, click a node to edit) over the live canvas ::border](/images/projects/agent-studio/onboarding.jpg)

The whole point is a fast loop between sketching an agent topology and watching it actually run against a model you control.

## Links

- [HTML project page](https://rosslabs.ai/projects/agent-studio/)
- [Source code](https://github.com/tyroneross/agent-studio)