product-updates
Your agents can do more. You stay in control.
Your agent can carry work from research to action, bring context into new conversations, and show you what it plans to do, remember, and learn.
Four new models for every job
New this week: Four new models ready to take on any job, agents can search across team documents, tables, and memories for shared context. Plus, safer agent updates, and an improved experience with Slack. * Gemini 3.7 Flash fits document-heavy operations. Think: reviewing ten vendor proposals, comparing them against
Product Updates
Run your agents as one team
New this week: stronger models for the agents that coordinate multi-step jobs and pass work to other agents. Plus, clearer handoffs between agents, and alerts when an agent needs you.
From OpenClaw to Hyperagent: What Actually Changes
Hyperagent has everything your OpenClaw setup was trying to do, without the burden of running the infrastructure underneath it.
Product Updates
How to choose the best model for your agent, plus 2 new ones to try
New this week: a practical guide to choosing the right model for your agent's work. Try the newest models available: Gemini 3.6 Flash, and Inkling. Plus, switch models directly from thread headers, smarter thread tabs, shared billing, and complete search in Hyperagent via Cmd + K. Which model
Which Model Earns Its Keep? We Ran 14 Models on Real Knowledge Work to Find Out.
The best model for a job is almost never the best model on the leaderboard. Fourteen models, forty-two runs, on the real knowledge work our customers hand to agents every day.
Composio Security Incident - Hyperagent Response
Last updated: May 26, 2026 at 16:00 PT. We will continue to update this page as we learn more, so please check back regularly. On May 21, 2026, Composio, a platform we use to facilitate integrations between Hyperagent and various third-party data sources, disclosed a security incident in
Same Prompt, Better Results: How One Founder Built a Self-Improving Sales Pipeline
11 agents manage Deskimo's BD pipeline. The agent that runs today is meaningfully different from the one they shipped. Same prompt, same integrations, but three weeks of editorial judgment get built into every draft using a learning loop powered by Hyperagent's memories.
Brokers Used to Spend Hours Generating Documents. Now they Spend those Hours with Clients.
A 40-person insurance brokerage built 11 AI agents in a week. The documents that used to eat their days now take minutes. What they're doing with the time back is the real story.
This Founder Didn't Hire a PR Team. She Built One.
How one founder got the PR she needed before she could afford to hire for it. Anna just finished recording her second guest podcast appearance of the month. Before she's even closed her laptop, the host has offered to introduce her to ten people in the veteran community.
An AI Agent Produces Our Weekly Numbers in 2 minutes. Yes, We Still Check Every One.
Airtable's finance team saves 5 hours each week with an agent that produces their Weekly Business Review with numbers leadership can actually trust.
How Airtable's Data Team Built an Agent That Saves 200 Hours a Week
Airtable's Data team deployed an AI agent on Hyperagent that fields analytical questions from across the company. What would take the data team an extra 200 hours a week to handle manually, is now handled by Airtable's Data Agent.