Electron

Munder Difflin is a free, open-source desktop multi-agent harness that runs multiple terminal-based AI coding agents as coordinated local agents. It wraps agents including Claude Code, OpenAI Codex, Gemini CLI, Qwen, OpenCode, GitHub Copilot CLI, and custom commands, working with users' existing subscriptions and hourly usage limits. Each agent runs as a real node-pty process and is rendered through xterm.js, while an Electron and React interface displays sessions as avatars on a Pixi.js office floor. A GOD orchestrator called Michael assigns and routes work, adjudicates agent messages, and escalates spending, destructive operations, scope changes, and other configured approvals. Agents coordinate through a local Git-backed hive of plain-file memory, atomic mailboxes, a shared blackboard, and an append-only event log; a markdown-first semantic memory layer supports recall across sessions. Optional Git worktrees isolate parallel agents.

PI-Desktop is a local-first desktop workspace for AI coding agents, built with Electron, a Rust host core, and the pi Agent Harness. It lets users open local projects, connect cloud or local models through providers such as OpenAI-compatible APIs, manage projects and long-running sessions, and review file changes and command output. Its architecture separates the React renderer, Electron desktop orchestration, Rust-managed permissions, filesystem access, SQLite persistence and secrets, and a pi Agent sidecar responsible for the agent loop, model interaction, and streaming. Agent, Plan, and Goal modes provide different approval boundaries; agents can read and edit files, run commands, and delegate exploration, implementation, research, testing, or review to background Subagents. The workspace supports MCP servers, Skills, installable Plugins, model and provider switching, session imports, notifications, context checkpoints, and a plugin marketplace. Conversations are stored locally as JSONL with a SQLite index, settings and logs remain on the machine, credentials use the operating-system keychain, and model requests go directly to the configured provider or endpoint. Plugin processes are permission-gated and isolated from the renderer, but plugins remain user-trusted code rather than a complete operating-system sandbox. It is an early-preview cross-platform application distributed for macOS, Windows, and Linux under the GNU Lesser General Public License v3.0.

Cloudflare OS is an open-source AI productivity environment developed by Cloudflare and built on Cloudflare Workers. It provides an agent chat interface preloaded with company-specific knowledge, sandboxed development of shareable applications called gadgets, and a security framework called Gatekeepers for controlling agents and apps. It is intended to be customized into an organization's own company operating environment rather than adopted unchanged as a traditional computer operating system. Each user receives a private, separately sandboxed instance of a productivity application, such as a slide-deck tool, whiteboard, game, or dashboard. Agents can create and modify these gadgets and perform tasks involving configured company systems and integrations. Gatekeepers are service-specific Workers that expose a Cap'n Web API, handle authorization such as OAuth, restrict access to the intended resource, log gadget and agent actions, and support human approval for side effects. Instead of stopping synchronously for approval, a Gatekeeper can simulate the outcome locally, let the agent continue and queue actions, then allow the user to approve or reject those actions later in bulk or individually. The full stack can be run locally with pnpm, Wrangler, and workerd using `pnpm run-local`, or deployed to a Cloudflare account. The repository describes the project as an early-access release under heavy development; the local setup is intended for evaluation rather than production use.

Jevry is an open-source, MIT-licensed desktop browser agent created by Michael Swissa. It is an Electron browser that combines a language model for planning and text or visual reasoning with TypeSafe's Jev model for selecting typed actions from controls observed on the current page. Chromium executes the selected operations through guarded native input rather than generated JavaScript, arbitrary selectors, or shell commands. Its loop observes page text and compatible controls, compiles supported operation-and-target choices such as clicking, typing, scrolling, or stopping, asks Jev to choose, validates the choice against the current document and target, executes it, records an input receipt, and checks the resulting evidence before continuing. It supports browser tasks such as forms, page-grounded questions, research and citation, documentation navigation, catalogs, and selected visual or numeric games. The project is an experimental developer preview for macOS and Windows; it requires a TypeSafe Jev connection plus a text-model connection, and some capabilities—including uploads, extensions, password-manager workflows, and certain cross-origin interactions—remain unsupported or unverified.