Complete applications built on the Agents API. Each one runs against a real Core installation with a Project API key.

Example	What it shows
Parsar Agent workbench	A product UI: models, Skills, MCP, reusable Agents, and Sessions on any runtime

Parsar Agent workbench

A small single-user product built on Core. You save model providers, Skills and MCP servers, combine them into Agents, then start Sessions in a managed sandbox, with no workspace, or on your own machine.

Source: example/parsar.

Run and configure it with the example README, which also owns its supported features, storage and validation.

What to look at

Each feature maps to one part of the API. Read the code next to the guide section:

Feature	API used	Guide	Code
Server-side key and headers	Bearer key, OpenAI-Beta, route allowlist	Before you start	server.mjs
Agents with a harness and model	x_agents_core.harness, model_provider	Core extensions	server/sessions.mjs
Sessions on three runtimes	openai_hosted, none, self_hosted with workspace_directory	Create a Session	server/sessions.mjs
Crash-safe Session creation	Idempotency-Key, recovery from a lost response	Idempotency	server/sessions.mjs
Live replies	Event stream, text deltas, reconnect and reconcile	Stream events	src/lib/live-session.ts
Follow-ups and cancel	Input events with idempotency keys	Send input	src/Composer.tsx
History	Paging Turns and Items	Pagination	src/lib/api.ts
Skills and versions	/skills, default version	Skills	src/Skills.tsx
Connect your own machine	x_agents_core.installation, Environment status	Self-hosted execution	src/ConnectMachine.tsx

Add an example

Create a directory under example/ with a README explaining how to run it and which API features it demonstrates, then add a row to this index. Follow the application example boundary.