AI workflow automation
you can rerun by chat.
Orkas turns recurring tasks into reusable sub-agents. They read context, call skills and connectors, and draft outputs; permission prompts depend on the selected mode and connector actions are not guaranteed to prompt one by one.
Not every workflow is a fixed trigger-action rule
Traditional automation is best when the rule is stable. AI workflow automation is useful when the task requires reading, reasoning, tool calls, drafts, and human approval in one loop.
Read unstructured context
Agents can summarize docs, issues, emails, PDFs, and local files before deciding what to do.
- read
- reason
Call the right tools
Skills and connectors let agents search, run code, edit files, or work with apps like GitHub and Notion.
- skills
- connectors
Choose a permission mode
Approval modes prompt for sensitive local operations; routine operations may run without prompting, and connector actions are not guaranteed to prompt individually.
- permissions
- control
Run it again
A recurring workflow becomes a sub-agent you can summon again from chat.
- reuse
- agents
Four moves from repeat task to reusable agent
Describe the loop
Tell Orkas what you repeat and what a good output looks like.
Assign skills
Give the sub-agent search, code execution, file access, or connector abilities.
Review permissions
Select the appropriate local-access mode and review connector access before external actions.
Summon by chat
Run the workflow again by calling the sub-agent in a new conversation.
Good fits for AI workflow automation
Weekly reports
Read GitHub, Notion, calendar notes, and files, then draft a concise update.
Inbox triage
Summarize email, identify replies, and draft responses for approval.
Bug fix loops
Reproduce an issue, edit files, run tests, and explain the diff.
AI workflow automation questions
What is AI workflow automation?
AI workflow automation uses an AI assistant or agent to read context, make decisions, call tools, draft outputs, and ask for approval where needed. It is useful when the task is not just a fixed trigger-action rule.
How does Orkas automate recurring work?
Orkas lets you turn recurring work into reusable sub-agents with their own instructions, skills, and context boundaries. You summon that sub-agent by chat when you want to run the workflow again.
Is Orkas a replacement for Zapier or RPA tools?
Not always. Zapier and RPA are strong for deterministic trigger-action flows. Orkas is better for workflows that need language understanding, research, file work, code, tool calls, and human approval in one conversation.
Can Orkas automate tools like Notion, Slack, Gmail, or GitHub?
Yes. Orkas connects workspace tools through opt-in connectors and OAuth, then agents can call the actions those connectors expose. Connector actions are tool calls and are not guaranteed to pause for a separate approval prompt, so review access and external actions before running them.
Turn repeated work into reusable agents
Free, open source, local-first. Build workflows that read, reason, and call tools under the permission mode you select.