peerd
peerd is the first AI agent harness native to the browser, allowing AI agents to drive tabs, run sandboxed compute, and share peer-to-peer with no backend.
peerd
What is peerd?
peerd vs Similar AI Tools
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How to use peerd?
- 1Clone the repository from GitHub.
- 2Load the extension/ folder unpacked in Chrome (or Firefox) with Developer mode enabled.
- 3Click the peerd icon in the toolbar to open the side panel.
- 4On first run, create a local vault unlocked by Touch ID, passkey, or passphrase.
- 5Add your API key(s) for Anthropic, OpenRouter, or Ollama in Settings.
- 6Start chatting – peerd can read and drive open tabs, run commands in a sandboxed VM, build apps, and more.
peerd Key Features
- In-browser AI agent loop with full tool integration
- Sandboxed compute: WebVM (Linux), JS Notebooks, and App tabs
- Peer-to-peer sharing via WebRTC (preview channel)
- BYOK – bring your own API keys (Anthropic, OpenRouter, Ollama)
- No backend, no telemetry, no cloud storage
- Local encrypted vault for keys, chat history, and audit log
- Voice input with local STT (Moonshine)
- Open source under Apache 2.0
peerd Use Cases
- Automating browser tasks and web scraping
- Building and testing code in a sandboxed environment
- Creating and running AI-powered apps
- Collaborating with AI agents over a P2P network
- Privacy-preserving AI agent experimentation
peerd Pricing & Free Credits
peerd currently operates on a Free model.
This tool is completely free to use
peerd Pros & Cons
Pros
- Fully client-side – no backend dependency or data leaks
- Supports multiple model providers (Anthropic, OpenRouter, Ollama)
- Sandboxes code execution (WebVM, Notebook) for safety
- P2P sharing enables decentralized agent collaboration
- Strong security boundaries: vault, egress chokepoint, disposable runner
Cons
- Experimental (0.x) – breaking changes likely
- Requires manual setup and API keys
- Limited to browser environment (Chrome/Firefox)
- CheerpX VM depends on proprietary runtime (licensing restrictions for commercial use)
What is peerd best for?
- Developers exploring AI agents
- Privacy-conscious users wanting local control
- Researchers testing agent workflows in the browser
- Hobbyists building personal AI assistants
peerd FAQ
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