Key Takeaways
- AI desktop agents in 2026 split into three distinct architectures: local agents that drive your keyboard and mouse directly (Claude Cowork, Lapu AI, Goose), cloud agents that run tasks in isolated virtual machines and report results back (Manus, Genspark Claw, OpenAI Codex App), and hybrid orchestrators that mix local access with cloud model execution (Perplexity Computer, Microsoft Copilot Recall). Each architecture has different privacy, latency, and autonomy trade-offs.
- Background task execution specifically refers to agents that continue running after you close the prompt window. Manus, Genspark Claw, and the OpenAI Codex App (cloud mode) all support tasks that outlast the browser session. Claude Cowork, Lapu AI, and Goose require your machine to stay on and the app to remain active; they are foreground-dependent in their current implementations.
- Manus AI leads on raw autonomy for long-horizon tasks. Its Scheduled Tasks 2.0 feature and dedicated cloud VM per task make it the strongest option for multi-step workflows that require browsing, code execution, file manipulation, and external API calls within a single agent run. Pricing starts at $0 (300 daily credits) with paid tiers from $20 to $200 per month.
- Goose (by Block) is the only fully open-source desktop agent in this list with 27,000-plus GitHub stars, Apache 2.0 licensed, and donated to the Linux Foundation’s Agentic AI Foundation. It supports 30-plus LLMs, runs locally on macOS and Windows, and costs nothing as software with users paying only for model API calls (light usage typically $5 to $20 per month).
- Claude Cowork, launched by Anthropic in March 2026, is the only native macOS desktop agent in this list that drives the actual mouse and keyboard through OS-level APIs. It is included in Claude Pro ($20/month) and Max plans and operates on local files in a sandboxed environment with full access to your macOS applications.
- The OpenAI Codex App supports background cloud task execution for more than 24 hours, even while your laptop is offline, in isolated cloud sandboxes. It supports three execution modes: local (your project directory), worktree (isolated Git worktree), and cloud (OpenAI-managed containers). Cloud tasks are designed for engineering workflows requiring long-horizon autonomous coding and testing.
- Choosing between local and cloud execution comes down to data sensitivity, task length, and whether you need the agent to continue running without your machine active. Local agents (Cowork, Goose, Lapu AI) keep all data on your device and require your machine to stay on. Cloud agents (Manus, Claw, Codex App cloud) handle tasks that outlast your session but require sending data to a remote environment.
AI desktop agents became a distinct product category in 2026. The category matured beyond simple browser automation into agents that drive mouse and keyboard directly, execute multi-step tasks in cloud virtual machines, write and test code overnight, and deliver finished outputs to your inbox by morning. The range of tools now available is wide, and the architectural differences between them (local versus cloud, permissioned versus autonomous, foreground versus background) matter more than the marketing language around any individual product.
This list covers the eight strongest AI desktop agents for autonomous background task execution in 2026, organized by their execution architecture and the specific workflows where each has a clear advantage.
How We Evaluated These Tools
We evaluated each tool on five criteria: execution architecture (local, cloud, or hybrid), background task support (does the agent continue running after you close the prompt window), task breadth (web browsing, file manipulation, code execution, external API calls), transparency and permission model (does the agent show you what it intends to do before acting), and pricing relative to the capabilities delivered. We excluded tools that are browser-only or require continuous human supervision for every step.
1. Manus AI: Best for Fully Autonomous Multi-Step Tasks
Manus is the most capable autonomous agent on this list for long-horizon tasks that require web browsing, code execution, file manipulation, and external API calls within a single run. The agent allocates a dedicated cloud virtual machine for each task, which gives it a complete sandboxed environment with networking, a file system, a browser, and software tools. Scheduled Tasks 2.0 (launched in 2026) lets you define recurring automated workflows that run on a schedule without manual triggering.
Manus supports integrations with Gmail, Google Calendar, Notion, Slack, WhatsApp, and Telegram, and includes a Web App Builder for producing structured outputs. The 1.6 model family (1.6 Lite, 1.6, 1.6 Max) powers different tiers of the product. Background execution is native: tasks continue in the cloud VM after you close the browser, and results are delivered when complete.
Pros:
- True background execution in isolated cloud VMs that outlast browser sessions
- Broadest task breadth of any tool in this list (web, code, files, APIs, messaging)
- Scheduled Tasks 2.0 for recurring autonomous workflows
- Free tier available (300 daily refresh credits)
Cons:
- Credit-based billing; monthly credits do not roll over
- Cloud execution means task data passes through Manus’s VMs
- Higher tiers ($40-$200/month) required for serious workloads
Pricing:
- Free: 300 daily refresh credits, Manus 1.6 Lite
- Pro ($20/month): 4,000 monthly credits
- Pro ($40/month): 8,000 monthly credits
- Team: From $20 per seat, SSO, analytics, shared templates
Visit: Manus AI
2. Claude Cowork: Best for macOS Users Who Want Local Desktop Control
Claude Cowork is Anthropic’s desktop agent for macOS, launched in March 2026. It is the only native macOS agent in this list that drives the actual mouse and keyboard through OS-level accessibility APIs. Claude Cowork can open applications, navigate menus, read and write local files, and complete multi-step workflows across your installed macOS software, all within a sandboxed environment that contains its access to files you explicitly authorize.
Claude Cowork is included in Claude Pro ($20/month) and Max plans, making it one of the most accessible options for users who already pay for a Claude subscription. It uses Claude’s Sonnet-class models by default, with access to more capable models on higher tiers. Because it runs locally and drives the OS directly, all data stays on your machine, which is the key privacy advantage over cloud-execution agents.
Pros:
- Drives mouse and keyboard natively on macOS through OS accessibility APIs
- Local execution: all data stays on your device
- Included with Claude Pro ($20/month)
- Sandboxed file access with explicit authorization per folder
Cons:
- macOS only; no Windows version as of mid-2026
- Requires your machine to remain on and app active (no cloud background execution)
- Limited to tasks your macOS applications can handle directly
Pricing:
- Claude Pro ($20/month): Includes Claude Cowork access
- Claude Max ($100/month): Higher usage limits and model access
Visit: Claude Cowork
3. OpenAI Codex App: Best for Background Autonomous Coding Tasks
The OpenAI Codex App is designed for engineering teams that need an agent to execute multi-hour or multi-day coding tasks autonomously. Cloud mode runs in OpenAI-managed isolated containers and supports task execution for more than 24 hours, even while your laptop is offline. The agent can read an existing codebase, propose multi-file changes, write and run tests, fix failing tests, and commit the results, all without requiring your presence during execution.
Three execution modes are available: local (runs directly in your project directory), worktree (isolated Git worktree for safer parallel execution), and cloud (OpenAI-managed containers for longest-horizon tasks). Cloud tasks are the key differentiator for background execution: they are truly offline-capable, meaning you can assign a task in the evening and have a pull request ready the next morning. The Codex App connects to the same GPT model family as Codex CLI and requires an active OpenAI API plan.
Pros:
- Cloud mode supports 24-plus hours of background execution while laptop is offline
- Three execution modes for different safety and isolation requirements
- Produces real code changes, tests, and commits; not just suggestions
- Integrates with existing Git workflows
Cons:
- Engineering and coding workflows only; not a general desktop agent
- Requires OpenAI API plan; costs scale with token usage on complex tasks
- Cloud mode sends codebase to OpenAI infrastructure
Pricing:
- Included: With active OpenAI API plan
- Cost: Based on API token consumption per task; cloud tasks vary by complexity
Visit: OpenAI Codex App
4. Genspark Claw: Best for Delegating to an Always-On Cloud Agent via Messaging
Genspark Claw is built around the concept of an AI colleague available through messaging platforms: WhatsApp, Slack, and Telegram. The agent runs on a dedicated cloud computer that is always on, accepting delegated tasks through your existing messaging apps and returning results when done. Claw’s cloud computer has access to web browsing, file creation, research pipelines, and data processing, making it well-suited for knowledge work tasks that do not require direct access to your local files.
The “AI employee” framing is specific: Claw is designed to be delegated tasks the way you would delegate to a human assistant, via a message. You describe the outcome, Claw plans and executes it on its cloud computer, and you receive the result in the same thread. Pricing starts at $40 per month, positioning it as a tool for professional and team use rather than casual personal use.
Pros:
- Always-on cloud computer accepts tasks via WhatsApp, Slack, and Telegram
- True background execution: tasks run on the cloud regardless of your device status
- No app to install; works through messaging platforms you already use
- Good for research, data processing, and content creation at scale
Cons:
- No access to your local files by default
- $40/month minimum makes it less accessible for individual users
- Cloud execution means task data passes through Genspark’s infrastructure
Pricing:
- From $40/month for cloud computer access via messaging platforms
Visit: Genspark Claw
5. Goose (by Block): Best Free Open-Source Desktop Agent
Goose is an open-source AI agent built by Block (the company behind Square and Cash App), donated to the Linux Foundation’s Agentic AI Foundation under the Apache 2.0 license. It runs locally on macOS and Windows as a desktop application and CLI, supports 30-plus LLMs including Claude, GPT, Gemini, and local Ollama models, and costs nothing as software. Light usage with Claude or GPT typically costs $5 to $20 per month in API fees; using local Ollama models brings the total cost to zero.
Goose provides nearly identical functionality to Claude Code for engineering tasks but runs entirely on the user’s local machine with full control over model selection and data routing. It is part of the AAIF at the Linux Foundation, ensuring the project remains vendor-neutral and community-governed. With 27,000-plus GitHub stars, it has strong community support and a rapid development cadence. For knowledge workers who want a capable local agent without paying a monthly subscription, Goose is the most cost-effective option in this list.
Pros:
- Fully free and open-source under Apache 2.0; part of Linux Foundation
- 30-plus LLMs supported including local Ollama models at zero inference cost
- Runs locally on macOS and Windows; no data leaves your machine with local models
- 27,000-plus GitHub stars with active community development
Cons:
- Requires your machine to remain on (no cloud background execution)
- Configuration overhead to connect and manage multiple providers
- Less polished UI than commercial alternatives
Pricing:
- Free (Apache 2.0) plus your own model API costs ($5-$20/month typical)
- Free with Ollama: Zero total cost
Visit: Goose on GitHub
6. Lapu AI: Best for Privacy-First Permissioned Desktop Automation
Lapu AI is a local desktop agent built around explicit user permission before every action. The agent code runs on your macOS or Windows machine, drives the keyboard and mouse through OS-level accessibility APIs, and pauses before any action that modifies files, sends messages, or interacts with external services. Unlike cloud agents that execute autonomously in remote VMs, Lapu AI’s “permissioned local actor” model keeps the user in the loop at each decision point.
This approach is intentionally conservative: Lapu AI is designed for users who want AI assistance on sensitive desktop workflows without the risk of an autonomous agent taking irreversible actions without review. The permission-before-action model means it is slower than fully autonomous agents for tasks where you trust the agent’s judgment, but it eliminates the risk of unintended consequences in applications handling sensitive data, email, or financial information.
Pros:
- Explicit user permission required before every action affecting files or external services
- Runs fully locally; no data sent to remote servers
- Suitable for workflows involving sensitive data, email, or financial applications
- Works with full macOS and Windows desktop environments
Cons:
- Not designed for unsupervised background execution; requires active user presence
- Slower workflow than fully autonomous agents due to permission checkpoints
- Less task breadth than cloud-execution agents
Pricing:
- Available via Lapu AI; pricing available on site
Visit: Lapu AI
7. Perplexity Computer: Best for Multi-Model Orchestration on Complex Research Tasks
Perplexity Computer is Perplexity’s autonomous super-agent designed for complex digital tasks requiring multiple specialized models working in sequence. Rather than a single model completing the entire task, it breaks a user’s request into structured subtasks and routes each to the most appropriate model. This multi-model orchestration approach is particularly effective for research-heavy workflows that combine web search, synthesis, document creation, and structured output in a single automated pipeline.
Perplexity Computer is available on a dedicated Mac mini setup that Perplexity runs for users, allowing truly 24/7 background task execution without your own machine being on. The product sits between a cloud agent and a personal assistant: you describe the outcome, it orchestrates the subtasks across specialized models, and it delivers the result. It is more specialized toward research and knowledge work than general desktop automation.
Pros:
- Multi-model orchestration routes each subtask to the best-suited model
- Available as a dedicated cloud Mac mini for 24/7 background execution
- Strong for research, synthesis, and structured document creation
- Integrates Perplexity’s web search as a native capability
Cons:
- Less suited for hands-on desktop automation (driving specific apps on your machine)
- Cloud-only; no local execution option
Pricing:
- Available via Perplexity AI; pricing available on site
Visit: Perplexity Computer
8. Microsoft Copilot with Recall: Best for Windows Enterprise Knowledge Workers
Microsoft Copilot with the Recall timeline feature is the enterprise-oriented desktop agent layer on Copilot+ PCs running Windows 11. Recall creates a searchable visual timeline of everything that has appeared on your screen, which Copilot can query to surface past information, re-open workflows, and understand context across applications. At Microsoft Build 2026, Microsoft shifted its Windows AI strategy toward local agents that run across CPUs, GPUs, and NPUs without requiring Copilot+ branded hardware.
For enterprise knowledge workers inside the Microsoft 365 ecosystem, Copilot is the most deeply integrated option in this list. It operates across Office applications, Teams, Outlook, and SharePoint, with the Microsoft 365 Copilot plan at $30 per user per month adding AI assistance across the full productivity suite. The new E7 Frontier tier at $99 per user per month bundles E5, Microsoft 365 Copilot, and Agent 365 (a control plane for managing AI agents across an organization) for large enterprise deployments. Recall requires enterprise Purview integration to meet data governance requirements.
Pros:
- Deep integration with Microsoft 365 apps (Office, Teams, Outlook, SharePoint)
- Recall provides searchable visual history of all on-screen activity
- Agent 365 for managing multiple AI agents across an organization
- Strong enterprise compliance, SSO, and data governance via Microsoft Purview
Cons:
- Windows only; Recall requires Copilot+ PC hardware for full feature set
- Enterprise pricing ($30-$99/user/month) is the highest in this list
- Recall raised security concerns in 2024; enterprise deployment requires Purview safeguards
- Less effective for autonomous multi-step task execution than Manus or Claw
Pricing:
- Microsoft 365 Copilot: $30/user/month
- Microsoft 365 E7 Frontier: $99/user/month (includes Copilot and Agent 365)
Visit: Microsoft Copilot
Which Tool Should You Choose?
For the broadest autonomous task execution with true background capability, Manus is the strongest all-around choice for individuals and small teams. Its cloud VM architecture, Scheduled Tasks 2.0, and task breadth (web, code, files, external APIs) cover the most ground, and the free tier makes it accessible to test before committing to a paid plan.
For macOS users who want local desktop control on their own machine without data leaving their device, Claude Cowork covers most knowledge work tasks at the Claude Pro price point. For Windows enterprise teams, Microsoft Copilot with Agent 365 is the most integrated option but at a significant cost premium.
Engineering teams that need autonomous coding tasks running overnight should evaluate the OpenAI Codex App’s cloud mode, which is purpose-built for that workflow. Teams with budget constraints or local model requirements will find Goose the most cost-effective option. For users handling sensitive data who need human approval before every action, Lapu AI is the only tool in this list explicitly designed for that use case.
Frequently Asked Questions
What is an AI desktop agent?
A desktop AI agent is software that runs on your computer (or in a cloud environment representing your computer) and uses AI to plan and complete multi-step tasks autonomously. Unlike a chatbot that answers questions in a chat window, a desktop agent acts: it opens applications, reads and writes files, navigates interfaces, executes code, and delivers finished outputs. In 2026, the category split into local agents (running on your machine with OS-level access), cloud agents (running in remote VMs), and hybrids that combine both approaches.
What is the difference between a local and a cloud desktop agent?
A local agent (Claude Cowork, Goose, Lapu AI) runs on your machine, drives your actual applications, and keeps all data on your device. It requires your computer to remain on and the agent app to remain active during task execution. A cloud agent (Manus, Genspark Claw, OpenAI Codex App cloud mode) runs in a remote virtual machine, which means tasks can continue even when your laptop is off, but task data passes through the cloud provider’s infrastructure. The right choice depends on your data sensitivity requirements and whether you need tasks to continue running without your machine active.
Which AI desktop agent is best for background task execution?
Manus, Genspark Claw, and the OpenAI Codex App (cloud mode) are the strongest options for true background execution where tasks continue after you close the application. Manus is the most general-purpose. Genspark Claw is best for delegation via messaging apps. The Codex App cloud mode is best specifically for coding and engineering tasks that may run for 24-plus hours. Local agents like Claude Cowork and Goose require your machine to remain on and the application to remain active.
Is there a free AI desktop agent?
Manus has a free tier with 300 daily refresh credits. Goose is fully free and open-source under Apache 2.0, with users paying only for their model API calls (light usage typically $5 to $20 per month; zero with local Ollama models). Claude Cowork is included with Claude Pro at $20 per month rather than having a standalone free tier. OpenCode, which is terminal-based rather than a full desktop agent, is MIT-licensed and free.
Can AI desktop agents access my files?
Local agents (Claude Cowork, Goose, Lapu AI) can access files directly on your machine, typically with sandboxed or permissioned access where you authorize which folders the agent can read and write. Cloud agents (Manus, Genspark Claw) work within their remote virtual machines and access your files only if you upload them or connect a cloud storage integration. Enterprise products like Microsoft Copilot access files through Microsoft 365 cloud storage with Purview governance controls.
