whereismyai
Pandacode
Pandacode is a native desktop workspace for managing and running multiple coding agents side by side.
PandaCode is a native desktop workspace designed for developers who use multiple coding agents. It runs various coding command-line interfaces side by side with your projects, Git repositories, a terminal, and a browser in a single window. Built with Tauri, Rust, SQLite, and TypeScript, it operates without bundled Chromium, resident Node servers, React runtimes, or embedded editor engines. It features parallel task management boards, agent teams, bot integrations for messaging platforms, local and cloud sandbox support, and review tools for every turn. Users can manage GitHub pull requests and issues, view unified and split diffs, and handle approvals directly within the interface. It maintains privacy with local data storage in SQLite and requires no accounts or telemetry.
Pandacode at a glance
- Best for: Software engineer
- Runs on: macOS, Windows, Linux
- Pricing: Free and open source
- Released: October 2026
- Category: AI coding tool
- Website: github.com/aicodeking/pandacode
Key features
- Switch between multiple coding models and reasoning efforts per task
- Manage parallel tasks across projects with a status board
- Deploy agent teams with an architect and multiple workers
- Connect agents to messaging bots like Telegram, Slack, and Discord
- Drive local VMs and cloud sandboxes from agents
- Review saved turn changes with unified and split diffs
- Control Git worktrees and manage GitHub repositories
- Attach images, PDFs, documents, and folder mockups
Use it for
- Managing parallel coding tasks across multiple projects
- Running agent teams to plan and execute software development
- Reviewing code diffs and managing GitHub pull requests
- Testing built applications using integrated simulators and emulators
- Connecting coding agents to messaging platforms for remote updates
Companions
Tools that articles about Pandacode recommend using with it, each with its job.
- Context7 — Provides up-to-date documentation for AI agents and code editors.
- Ollama — Run local models at zero marginal cost, with code kept on your machine.
- OpenRouter — Access over 500 models and 80 providers through one unified API.
- Daytona — Runs sessions in isolated sandboxes synced to git branches.
- Composio — Equips AI agents with tools, managed user auth, and sandboxes across 1,500+ apps
- Oh My OpenCode Slim — Lightweight multi-agent orchestration and background tasks.
Alternatives to Pandacode
- OpenCode — Works with 75+ model providers, local models, and existing subscriptions
- PandaOS — It combines code, tools, and AI agents into one local workspace to prevent context switching.
- Lody — Run coding agents in parallel with isolated worktrees and live diff reviews.
- ZCode — Integrates GLM-5.3 with multi-agent workflows and remote chat control.
- jevgrep — Reduces coding agent costs by providing targeted, relevant repository context.
- SwarmPane — Run multiple AI coding agents side by side and let your tests pick the winner.
- Atlas — Centralize agent control, session logging, and project git state in one workspace.
- Orca — Runs multiple AI coding agents simultaneously in isolated workspaces.
- MonkeyCode — It combines browser-based cloud environments, desktop integration, and mobile collaboration.
- Jackalope — Run multiple AI coding agents side by side in parallel Git worktrees.
- PI Desktop — It keeps projects, settings, and sessions local without mandatory accounts.
- Codeg — Run multiple AI coding agents together and manage them from mobile devices.
All Pandacode alternatives