HyperAgent

HyperAgent builds AI agents that teams can assign to ongoing work, from sales research and data processing to creating websites, reports and marketing materials. Agents use browsers, code and connected accounts to produce finished deliverables, with work triggered through Slack, Telegram, webhooks or schedules. The product is designed for people who can describe a result without necessarily knowing how to program it: a marketer, for example, can ask an agent to combine campaign exports into a clean dataset.

Its defining structure separates an agent’s standing job from each individual run. An agent retains its role, tools and controls, while a thread holds a particular run’s messages, files and decisions. Reusable skills capture methods; memories carry facts and preferences into subsequent work. This lets a team improve a shared method without rebuilding every agent that uses it, or change the underlying model while preserving the role. Each thread also has a private computing environment whose files and installed packages persist across turns.

That structure supports recurring operations as well as individual assignments. HyperAgent’s company-published customer accounts describe Appell Striping using agents to find prospects, prepare outreach and handle follow-on jobs, and Deskimo using them for its business development pipeline. Teams can share configured agents through workspaces and retain their outputs in a Library, making both the working method and its results available beyond the original conversation.