RESOURCES · DOCS · AGENT STUDIO · QUICKSTART

From install to a replay packet in sixty seconds.

Install the desktop app or open the browser edition. Connect to a sample MCP server. Record a tool call. Replay it. Export the regression artifact.

QUICKSTART
Agent Studio Open
LOCAL-FIRST
ConnectComposeTracesReplayObserveShip
COMPOSE · TOOL CALL
{ "tool": "refund_order", "order_id": "ORD-1042", "dry_run": true }
TOOLS
18
TRACE
.ast
P95
812ms
TRACE READOUT
INSTRUMENT READOUT · FIRST SESSION
STEP 01 · INSTALL AND OPEN

Local-first by default.

Desktop gets stdio MCP, the local OTLP receiver, OS keychain storage, sandbox mode, and update-channel wiring from the shared Open Studio Platform shell.

The browser edition is intentionally smaller: remote SSE and HTTP MCP, A2A card testing, IndexedDB trace storage, and BYO provider keys protected by a passphrase.

↳ COMMANDS
brew install auraoneai/open/agent-studio-open
agentstudio sample filesystem --open
agentstudio connect --stdio "npx -y @modelcontextprotocol/server-filesystem ./sample-data"
STEP 02 · FIRST REPLAY

Record, replay, and keep it.

Use Compose to call a tool. Press Record before sending. The session appears in Trace Browser with tool calls, model messages, latency, cost estimates, and risk annotations.

Replay with the same model to verify determinism. Export a GitHub Action or a JUnit report when the sequence should become release coverage.

01

Connect to a sample MCP server

Pick filesystem, fetch, or sqlite from the sample drawer. The connection panel shows transport, latency, and the manifest counts.

↳ CHECK
02

Confirm Manifest Inspector renders

Tools, Resources, Prompts, and JSON tabs all populate. Risk findings show up in the side rail.

↳ CHECK
03

Send a schema-backed tool call

Use Compose to call a tool with the form view, then switch to JSON to confirm the wire-level payload.

↳ CHECK
04

Replay and export a trace card

Replay the session against the same model to verify determinism, then export a trace card or a GitHub Action.

↳ CHECK
STEP 03 · EXPORT THE ARTIFACT

One command becomes a release gate.

The exported .ast trace is portable. Drop it into a GitHub Action, a JUnit pipeline, a PR comment, or an AuraOne intake packet. The next release has to clear it.

↳ EXPORT
agentstudio record --session refund-path
agentstudio replay refund-path.ast --compare anthropic,openai
agentstudio export refund-path.ast --github-action --out .github/workflows/agentstudio.yml
agentstudio export refund-path.ast --junit --out reports/agentstudio.xml
QUICKSTART

Next time, it's already a replay.

You shipped one trace. Repeat the loop on the path that actually broke. That is the regression bank.

60-second quickstart | Agent Studio Open Docs