# Agents and autonomy updates

Source: https://www.hyperagent.com/docs/changelog/2026-07-agents-and-autonomy

> For AI agents: the documentation index is at https://www.hyperagent.com/llms.txt and the complete documentation in one file at https://www.hyperagent.com/llms-full.txt. Any docs page is also served as Markdown by appending `.md` to its URL.

Delegation, smarter setup, model controls, and clearer autonomy settings for agents.

These updates make agents easier to direct, easier to configure, and better at handing work to each other.

Mention another agent in a thread and Hyperagent hands off that part of the
run, then brings the answer back into your thread.

Agents can now call on other agents mid-run, without an @mention, so
recurring delegated work happens automatically.

The result comes back into the original thread. You control which agents each
agent can delegate to.

Override an agent's toolkit for a single thread without changing the agent
itself.

The Tools section is now editable right in the thread.

Switch models right from the thread header.

Click the model pill in the thread header to open the full picker. It shows
context-window details, token usage, caching breakdown, and the thread's
running cost, so you know where you stand before committing to a longer run.

Set what an agent can do in threads you're watching separately from what it
can do unattended on schedules and live runs.

The agent editor's Access tab is now Autonomy.

Run Live Mode on the cadence that fits, and see the estimated daily cost
before you save.

Choose every 2, 4, 8, or 12 hours, once a day, or a custom interval.

Scheduled agents can stay quiet unless there's something that needs your
attention.

In the schedule editor, turn on "Only deliver when something needs attention."

Scheduled runs can post their final report to a Slack channel instead of
only writing it back to the original thread.

Each subagent now gets its own browser session, and the canvas shows every
active session in a grid with inline live views.

Generated skill scripts are directly editable, so you can fix the last
details yourself instead of regenerating the whole script.
