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The cloud agent operating system for knowledge work
AI chatbots can answer questions, but they can't do your work — they aren't connected to your tools, can't take actions, and stop running when you close the tab. Meanwhile, knowledge workers are still spending most of their day switching between dozens of SaaS apps, manually stitching together workflows that should be automated. Tasklet is the AI agent that actually does the work. It connects to every tool you use — via thousands of built-in integrations, any HTTP API, or MCP servers — and takes real actions on your behalf: pulling reports, updating CRMs, triaging emails, processing data, and more. When it needs a UI, it generates one on the fly. When it needs to crunch numbers or do bulk operations, it writes and runs code in a cloud sandbox. When it needs to interact with a website that doesn't have an API, it uses a real browser. And because it runs in the cloud 24/7, you can set up triggers to have it take ongoing responsibility for workflows — not just do something once, but handle it going forward. The product is deliberately simple: a chat interface where you talk to an extremely capable agent. But underneath that simplicity is a cloud-native agent runtime, best-in-class context engineering, a universal connections layer, and multi-model support that keeps us on the frontier as AI improves. We think legacy SaaS is being unbundled by agents, and Tasklet is the operating system that ties it all together.
Tasklet positions itself as a cloud-based AI command center for teams, enabling agents, connections, apps, and knowledge to be orchestrated from one place. It aims to scale productivity by letting teams describe tasks in plain English and have Tasklet select tools, write code, and execute the work automatically.
Tasklet connects to thousands of apps or any API, allowing a team to describe a task in plain English and have Tasklet determine the outcome and execute it by selecting tools, writing code, running the work, and returning a finished result. It provides centralized billing and per-member usage controls, supports sharing access without exposing credentials, enables building reusable agents that can be shared across the team, and can connect to any HTTP API or private MCP/internal APIs. Agents run in a cloud sandbox, can operate 24/7, run on schedules or in response to events, and can leverage live software components (browsers, files, databases, etc.) to perform complex workflows. It supports a browser-like live software capability, sandboxed compute for heavy tasks, and a marketplace-like repertoire of apps and models (Anthropic, OpenAI, Google, etc.). Security features include granular access controls, usage analytics, and data custody assurances.
Who it’s for: teams and companies seeking to automate knowledge work and operations by building and sharing AI-powered agents that integrate with existing apps and data sources
Pricing page indicates multiple paid tiers (Starter, Pro, Custom) and a Free tier, suggesting product-market traction and ongoing monetization efforts; references to enterprise security certifications in progress; mentions of customers and teams deploying agents imply growing usage.
Current: founder at Tasklet Formerly: founder at Firebase & Shortwave
AI agents that connect to all your tools, use computers in the cloud, and run automatically 24/7 to get real work done
Tasklet is a cloud-based AI agent operating system that connects to business tools and runs workflows automatically 24/7. It takes actions across integrated applications, generates dashboards, and handles data processing without manual intervention.
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How Tasklet’s homepage introduced itself over the years — each line is the page title the web actually saw, linked to that moment’s archived capture.
One prompt. One app. One living workspace for teams.
AI agents reliable enough to do real work
