PolySwitch is a desktop AI agent platform that turns your computer into an AI-powered workforce. Instead of working with a single AI assistant, PolySwitch lets you create and run multiple specialized AI bots simultaneously for coding, research, browser automation, testing, content creation, productivity, and repetitive tasks.
PolySwitch supports multiple AI models and providers, allowing you to use your own API keys and choose the right model for each task. It can also work with local AI models through platforms such as Ollama, giving you greater flexibility and control over how your AI workflows run.
AI agents can interact with your desktop, browser, files, and applications to perform real tasks rather than simply generating text. You can run agents in parallel, automate recurring workflows, and keep human approval in the loop for sensitive actions.
With its focus on multi-agent workflows, desktop automation, model flexibility, and user control, PolySwitch is designed for developers, founders, researchers, creators, and professionals who want to build their own AI workforce.
Key features include:
- Multiple AI agents running simultaneously
- AI-powered desktop and browser automation
- Support for multiple AI models and providers
- Bring Your Own API Keys (BYOK)
- Local AI model support through Ollama
- Background and scheduled AI tasks
- File, application, and workflow automation
- Human approval for sensitive actions
- Flexible workflows for development, research, productivity, and business
PolySwitch puts your AI agents, models, and automated workflows in one desktop environment.
Top comments (2)
Running multiple agents in parallel on one desktop raises a resource question most launch posts skip: browser sessions. If three agents each spin up their own Chromium instance for browser automation, memory usage gets ugly fast — and if they share one, you need session isolation or they stomp on each other's cookies and logins.
I run a small multi-role agent fleet (scout/critic/operator/builder) for a repo-automation project, and the two things that mattered more than model choice were: per-role API budgets, because one verbose role on a shared key starves the others; and explicit deny-lists per role, not just capability lists. The failure mode that keeps recurring is an agent confidently doing something adjacent to its job — an operator role deciding to commit code, for instance.
How does PolySwitch scope what each bot can touch? And on the scheduled-task side: recurring runs are easy, but what happens when a scheduled run fails halfway — is there a retry policy, or does the operator come back to a half-mutated desktop?
Here is how Polybot handles each of them under the hood:
Browser Isolation and Memory For standard web tasks, Polybot avoids spinning up multiple heavy Chromium instances. It uses a lightweight virtual subsystem called Ego-Lite, which runs isolated browser spaces with separate cookie jars per bot/thread. Instead of rendering heavy visual pixels, it parses a token-efficient semantic accessibility tree. When full GUI automation is actually required, it runs inside an isolated container VM capped at 4 GB RAM and 2 CPUs, leaving your host desktop untouched.
Scoping, Deny-Lists, and Budgets Each bot is strictly bound to assigned toolkits. An operator bot without developer permissions cannot invoke git or file-editing tools - the harness blocks the call before execution. On top of that, Polybot enforces an explicit governance policy with deny-lists and approval gates; destructive actions fail closed if unattended. We also track task-level budgets (tokens, USD cost, tool calls, and runtimes) so a verbose bot cannot starve the others on a shared key.
Half-Mutated Desktop and Retry Policy Scheduled tasks run through a durable job engine using atomic leases and idempotency keys. If a run fails, it retries with exponential backoff and jitter up to 3 times before routing to a Dead Letter Queue (DLQ) with saved logs. To protect your files, Polybot takes a per-turn snapshot in a shadow git repository before any bot touches the workspace, allowing clean rollbacks if a task fails halfway. External operations are tracked via a side-effect ledger to prevent duplicate actions on retry.
Hope you will try polyswitch.io :)