New models, shared agent context, and clearer controls

This release adds more model choices and gives teams clearer control over agent knowledge, configuration, Slack access, and delegated work.

Four new models for every job

Choose from four new models based on the context, volume, and depth your work requires.

Gemini 3.7 Flash: Review and compare large document sets, such as ten vendor proposals and a set of evaluation criteria. A job at that scale usually costs tens of cents in model usage, depending on the files and number of retries.
MiniMax M3: Work across process documents, customer notes, sales transcripts, pricing sheets, and product documentation. Try it as a lower-cost option for searching a large internal knowledge base.
DeepSeek V4 Flash: Handle high-volume coding and tool work, including routine bug fixes, integration updates, tests, and repetitive technical tasks. It's currently the lowest-cost model available in Hyperagent.
Grok 4.6: Complete longer research and analysis assignments that end in a decision-ready brief, market assessment, or competitor comparison. It costs more than the other three models, so use it when sustained analysis is worth the additional spend.

Learn more in Models.

Shared context across agent teams

Agents in Teams can now work from shared memories, skills, and documents in the Library. When an agent delegates work, the specialist receives the relevant context.

The result returns to the original thread, keeping the full assignment and its handoffs together.

Learn how context travels in Agent delegation.

Find knowledge by what it says

Library search now uses text inside document sections and table descriptions, along with exact terms and meaning.

You can find the right document or table using a phrase from its contents without knowing its title.

Team memories and an agent's learned memories use relevance-based retrieval too. Search for a topic or detail even when your wording doesn't match the title.

Tables now include a purpose description and generated tags. Agents can find tables from other threads when you have access to them.

Review agent changes before saving

Changes in agent configuration now stay in one editable draft, including identity, invocation settings, context, memories, and model.

Review the complete set of changes, then use Save or Discard to apply or revert them together.

Manage Slack-connected agents

Dedicated Slack apps can now find people by name or email, so agents can mention or prepare a direct message for the right person.

Slack setup shows when admin approval is pending, denied, or complete. It also displays a reconnect notice when the bot token is no longer valid.

The channel picker refreshes stale data and invites the bot when a newly granted channel requires it. From Bot identity, you can move the agent's app to another connected Slack workspace.

Learn more in Slack.

Additional improvements

Clearer agent creation. New-agent setup names the configured default model from agent configuration. When required information is missing, the create control explains what you need to add.
Saved thread views. Switch between list and grid views across Threads with one saved preference.
Nested delegated threads. Expand delegated child threads beneath their parent instead of scanning them as separate top-level conversations.
Control thread knowledge. Choose "Include in knowledge" or "Exclude from knowledge" from a thread's actions menu. Learn more in Knowledge access.
Clearer schedule details. Agent pages show author-given schedule names, and weekday controls follow the ordering used by your locale. Learn more in Invocations.
Restore scheduled destinations. Restoring an agent version preserves its scheduled delivery destinations.
Preview skills and memories. The @mention picker distinguishes similarly named skills and memories with previews. In a new thread, choices are scoped to the selected agent.