Quickstarts, guides, REST and SDK reference, and integration playbooks. This is the shape of the documentation - sections marked soon are being written now.
The catalog and reference are being written activity by activity. Until a section lands, the team will answer directly - usually the same day.
Ask us instead →Three paths in, each one to a running workflow inside ten minutes. The canvas is fastest, the SDK is most expressive, MCP is for connecting an agent you already have.
Drag activities onto the canvas, wire them up, hit Run. No code, no install - the fastest path to a running workflow.
Install the SDK, decorate a function, run it locally. Workflows version with your code, diff like your code, deploy like your code.
Expose your workflows as tools to Claude, ChatGPT or any MCP-compatible client. Per-tenant server, JWT-bridge auth, audit by construction.
Eight top-level sections, shaped like the product itself - what you see in the dashboard maps to what you find here.
Everything available in the dashboard is available over REST and through the Python SDK. Here is list workflows in both - pick the surface that fits your stack.
curl https://api.lyhnis.com/v1/workflows \ -H "Authorization: Bearer $LYHNIS_API_KEY" \ -G -d limit=50 # → cursor-paginated { "data": [ { "id": "wf_01JX7", "name": "invoice_processing", "version": 14, "schedule": "0 9 * * MON" } ], "cursor": "eyJvZmZzZXQiOjUwfQ" }
from lyhnis import Client client = Client(api_key=os.environ["LYHNIS_API_KEY"]) # iterates every page for you for wf in client.workflows.list(): print(wf.name, wf.version) # or take the cursor yourself page = client.workflows.list(limit=50) while page.cursor: page = client.workflows.list(cursor=page.cursor)
The latest releases, live platform status, and where to ask when the docs come up short.