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Publishing an AI agent means giving another person a reliable way to obtain, configure and operate it. For an imported workflow, that requires more than exporting a file: the recipient needs a compatible runtime, credentials, dependencies and instructions for recognizing success or failure.
Theaimart's current agent flow distributes workflow files. It does not operate those workflows in a managed agent sandbox or supply their external service credentials. This guide describes the verified repository flow as reviewed on 9 November 2026; it does not claim that a live submission or approval was performed for this article.
Choose the correct distribution format
| What you built | What to distribute | What users need |
|---|---|---|
| Hosted service | A launch destination and account instructions | Access to the service and its terms |
| Importable workflow | A supported export and setup guide | Compatible workflow platform and credentials |
| MCP integration | A package or remote endpoint with client instructions | Compatible host, configuration and authorization |
Use the application publishing guide for a hosted app. Use MCP distribution guidance for an MCP server. This article owns workflow packaging and agent submission intent.
Define the supported task
Write a concrete contract before exporting. Identify input format, expected output, permissions, external services, resource limits and the point at which a person must review an action. Include conditions under which the workflow stops rather than improvises.
For an illustrative support workflow, the contract might be “categorize a supplied request and save a draft response for review.” That is different from sending replies or issuing refunds. Document the actual behavior rather than describing every automation as autonomous.
The agent-versus-chatbot comparison explains the action boundary. The apps-versus-agents guide explains why packaging and execution are independent choices.
Prepare a clean export
Export the workflow using the target platform's supported process. Inspect the resulting file for embedded API keys, authorization headers, private URLs, account identifiers and sample customer records. Remove credentials rather than replacing them with another production account.
Use synthetic example inputs. Identify required connection names and explain how the recipient supplies their own secrets. If the platform stores some configuration outside the export, document that dependency explicitly.
Keep a versioned copy of the exact artifact you intend to distribute. A screenshot of the editor cannot establish what a recipient will import. Associate release notes and compatibility information with that artifact version.
Test in a fresh environment
Import the export into a clean instance of its target runtime. This catches dependencies hidden in your development account: custom nodes, local files, existing credentials and environment variables.
Run a normal case, an empty input, an invalid input and a denied-permission case. If the workflow performs writes, test duplicate requests and partial failures in a safe environment. Confirm whether retrying can repeat an action.
Record the runtime version, dependency versions, configuration steps and expected result. State exactly what was tested. Do not describe an untested integration as production-ready or report invented time savings.
Write instructions that identify the owner of each step
A useful README explains installation, configuration, sample execution, expected output, error handling and updates. Name separately billed services and explain who pays them. A free workflow download does not mean free inference.
| Recipient question | Documentation to include |
|---|---|
| Where does it run? | Platform and tested version |
| What does it access? | Services, data and credential scopes |
| What can it change? | Write operations and review requirements |
| How do I know it worked? | Observable output or final state |
| What if it fails halfway? | Recovery and duplicate-prevention instructions |
| How do I update it? | Version, changelog and migration steps |
If a tool is optional, explain the behavior without it. If a service is mandatory, make that requirement visible before download rather than burying it in troubleshooting.
Submit on Theaimart
The authoritative agent upload documentation matches the current creator form. The form accepts .json, .yaml, .yml and .zip workflow files up to 25 MB, or a complete HTTPS file URL.
- Sign in and open AI Agents → Upload AI Agents.
- Enter a name, category, task-focused description and contact information.
- Identify the target platform and supply the workflow file or HTTPS file destination.
- Add the requested media, developer information, license, version and dependencies.
- Check the displayed price and terms. Current form validation permits values from zero to 10,000; that validation is not a payout or revenue guarantee.
- Submit for review and use the receipt's management destination to check status.
Submission does not establish public approval. Verify the listing after approval, including the downloadable artifact and its setup information. A catalogue listing is not an execution service or security certification.
Keep updates safe for existing users
Treat changes in credentials, dependency versions or write behavior as meaningful release information. A user should not discover that an update now sends messages when the previous version only drafted them.
Test migration with a copy of a representative configuration containing safe values. Keep secrets outside public examples. Document how users can preserve their own settings without importing credentials from your development environment.
Provide a support route and request minimal diagnostic information. Ask for the version, failed step and sanitized error rather than complete private prompts or tokens. Remove obsolete download links or clearly identify unsupported releases.
Common publishing failures
An export that works only in the author's account usually needs better dependency and setup documentation. An import that succeeds but produces no output needs an observable acceptance test. A workflow that retries writes without checking prior state needs a recovery design before distribution.
If the upload is rejected, check the file type, size and destination format. If execution fails after download, inspect the recipient's runtime and credentials: Theaimart does not execute the workflow for them.
Read listing best practices, run the launch checklist, and then inspect the final recipient journey. Browse agent workflows to understand the delivery format, while assessing each listing's actual requirements independently.