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Early access

Operating infrastructurefor AI agents

Automedha is where indie developers run AI agents: on demand or on a schedule, with metered tools and a record of each run’s status and cost. No server per agent necessary.

Request early access

Start with the agent you are already building.*

Runs that survive restarts Tools priced before they run Each run on record

Hosting, schedules, and cost

Building agents got easy.
Running them didn’t.

Claude or Codex writes a working AI agent in an afternoon. Hosting it, paying for the tools it calls, and knowing what it did is the half nobody anticipates. Automedha runs that half.

01 / Your workIdea, instructions, inputs

Define what the agent should do and what a good result looks like.

02 / AutomedhaRun, capabilities, controls

Give the agent a place to run, tools it can call, and limits it must respect.

03 / Your dashboardStatus, ending, recorded cost

Inspect what ran before you decide what to change or repeat.

A catalog agent with its inputs, provisioned and ready01Catalog02Configure03Ready
Pick it, set the inputs, run it.

No server per agent necessary.

Pick an agent from the catalog and Automedha provisions it. Search, page reading, models, media, storage, and email come through one interface, and each paid call is quoted before it runs.

See what agents can call
A configured agent starts on a recurring weekday scheduleMon09:00Tue09:00Wed09:00Thu09:00Fri09:00
Example: a weekday briefing.

Run it now, or on a schedule.

Start a run when you need one, or give the agent a cron schedule and timezone. Pausing an agent stops new starts and pauses its schedules; a run already in progress continues.

See how agents run
Illustrative charges from recorded runs against spending capacity$18.40example usage
Hourly · daily · monthly capacity

Know how each run ended.

Status, timestamps, why it ended, and its recorded charges, per run. Route models through your own model provider key if you prefer.

See the dashboard

You write it, we run it.

Write the agent.*Automedha runs itand everything after.

Examples, and your own code

Example agents you can create.
Or write your own.*

The catalog keeps growing. Each agent shows its inputs, its output, and its limits before the first run.

01
In the catalog

Research a product decision and share the source trail.

Turn a topic into a report with source links you can read and share.

Output

A researched, revised report and an illustrated static page with a share link.

Share links expire after 24 hours. Publishing can stop at a draft, and custom domains are not supported.
See agent details
02
In the catalog

Put a draft through a bounded critique and revision loop.

Give the first draft a structured critique before it reaches your editorial review.

Output

A final draft, its score and critique, and whether it met your rubric.

The final draft is returned when the attempt limit is reached, even if it has not passed. You make the final editorial decision; it is not published to a website.
See agent details
03
In the catalog

Check a public project site before you ship it.

Find pages and links that need attention before the next release or handover.

Output

A report on unreadable pages, content issues and whether Terms and Privacy links resolve.

Checks cover readable public page content and links. The agent does not log in, capture screenshots or check visual regressions; it does not certify legal compliance.
See agent details

Your first run

From your first agent
to a repeatable run.

Choose an agent, set the inputs for your project, and inspect the result before you put it on a schedule.

Your first agentIllustrative dashboard walkthrough
Automedha / Product researchExample

Create an agent

Start with the task.

Choose an agent to configure for your project.

Research Micro-SiteSources then report then a temporary page link
Self-Editing WriterBrief then draft then rubric then revision
Content PackOne source then copy variants and optional media

Read the agent’s setup and output limits before choosing.

Explore the steps. This example does not start a real run.

What’s next

Your own code.
The same place to run.

Hosted agent code and a local Studio, alongside coding and repository tools.

Upcoming

Run the code you already wrote.

Sandboxed builds and isolated execution give your own agents the same runtime as the catalog.

See the code roadmap
Upcoming

Give agents a fuller workspace.

Managed files, data stores, browser sessions, code tools, and repository access.

See the tools roadmap

FAQ

Before you move past the prototype.

Can I deploy an agent I have already written?

Yes. Alongside the catalog agents you configure and run, Automedha hosts agent code you have already written, with a local Studio.*

Can I use my own model account?

Yes. Add a model provider key and choose the model route. Those calls are billed by your provider, outside Automedha’s usage record.

Can I connect an existing tool endpoint?

Register an authenticated MCP endpoint in the dashboard. Agents you write call it from hosted agent code.*

What can I inspect after a failed run?

Status, timestamps, and the reason execution ended, per run. A run timeline lays the steps out in order.*

What happens after I request access?

Tell us which agent you want to run. Once access is confirmed, you configure it and start runs from the dashboard.

Early access

Take the agent you built to production.

Tell us what the agent does and what it needs to call. You configure it and start the runs.

Request early accessNo payment details required to request access.

Grounded in Automedha notes

Ask what runs today.

Sources are listed under the answer.