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Pan-Agent

Free#6 of 24 in AI Computer Use Agents

Pan-Agent: A versatile local agent for desktop, browser, bot, and scheduled automation. Ranked #6 of 24 in AI Computer Use Agents by our editors (8.7/10); pricing: Free plan; best for open-source agents needing memory and bots.

8.7/10Editor score
Pan-Agent8.7 Visit Pan-Agent

At a glance

  • Editor score
    8.7 / 10
  • Pricing
    Free plan
  • Best for
    Open-source agents needing memory and bots
  • Free plan
    Yes
  • Paid from
    Free
  • Desktop app control
    Yes
  • Facts checked
    22 Sep 2026
Pan-Agent screenshot
  • Where it wins

    • Controls desktops and browsers with vision, OCR, keyboard, and mouse input
    • Supports persistent memory, isolated profiles, approvals, and scheduled tasks
    • Runs on Windows, macOS, Linux, and connects with major model providers
  • Where it doesn't

    • Self-hosting requires local setup and operational responsibility
    • External model providers may add usage fees
    • Dangerous actions can require approval, limiting unattended automation

Our verdict on Pan-Agent

Pan-Agent is a self-hosted AI assistant for people who want an agent to operate a local computer rather than only generate text. It runs on Windows, macOS, and Linux, with a local HTTP API for headless use and scripting. Its scope covers desktop control through screenshots, keyboard and mouse input, window management, OCR, vision, Chromium browser automation, and web search. Open-source users who need persistent memory, isolated profiles, messaging bots, or scheduled tasks will find a broad set of capabilities in one local application.

The open-source model is central to the product's appeal. Pan-Agent is described as MIT-licensed and free to use, while external model providers may still charge for their services. Provider options include OpenAI, Anthropic, OpenRouter, Groq, Ollama, LM Studio, vLLM, and llama.cpp. This gives teams and individual developers room to select hosted or local models, depending on their setup. Telegram, Discord, and Slack connectivity extends the agent beyond the desktop, while cron-based scheduling supports recurring tasks.

Control and safety features shape where Pan-Agent fits. Persistent cross-session memory and separate profiles help distinguish contexts, and the approval system requests confirmation for dangerous actions while blocking selected catastrophic commands. These controls are useful for computer automation, but self-hosting means the user remains responsible for installation, configuration, model access, and ongoing operation. Pan-Agent is a strong choice for technical users who want local, extensible automation across desktop and browser environments. It is less suitable for buyers seeking a fully managed service with no local administration or external model-provider considerations.

Your product? Our editors can test Pan-Agent in depth and publish a review, labelled as paid · from $149/mo →

Pan-Agent pricing

Plans Free planFree Free to use — no paid tier required for the core job.
See plans on github.com

Pan-Agent fact sheet

Free planYes
Paid fromFree
Desktop app controlYes
Supported platformsWindows, macOS, Linux
Browser controlYes
Screen understandingYes
DeploymentLocal
Human approval controlsYes
API accessYes
DeploymentSelf-hosted, Desktop
PlatformsWindows, macOS, Linux
SupportDocs
Built forSolo, Small business (editorial estimate)
Integrations11 integrations: Telegram, Discord, Slack, OpenAI, Anthropic, OpenRouter …
PricingFree plan
Websitegithub.com
Facts checked22 Sep 2026

Pan-Agent integrations

Pan-Agent lists 11 integrations on its own site.

  • Telegram
  • Discord
  • Slack
  • OpenAI
  • Anthropic
  • OpenRouter
  • Groq
  • Ollama
  • LM Studio
  • vLLM
  • llama.cpp

Alternatives to Pan-Agent

See all Pan-Agent alternatives →

Pan-Agent vs the competition

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Featured on iTechGuides

Featured on iTechGuides — Pan-Agent 8.7/10

Pan-Agent is listed in our AI Computer Use Agents directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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