Verified project record
openchamber/openchamber
OpenChamber is a workspace for running, monitoring, reviewing, and shipping AI coding work across desktop, web, VS Code, and mobile. It turns AI coding sessions into trackable, reviewable work that can continue across devices and flow into GitHub review and release.
Project overview
Its Session Goals can keep an agent working after the app is closed until a goal completes, and it can run the same task in up to five model sessions and fuse the strongest parts into a new session, all inside one workspace spanning desktop, web/PWA, VS Code, iOS, Android, and CLI/server surfaces.
- Project type
- AI Agent · AI Coding · Workflow
- Use cases
- Coding & Development · Automation
- Deployment
- Refer to project documentation
- License
- MIT
Best for
- Developers and AI engineers who need to run, monitor, review, and ship AI coding work across multiple devices.
- Teams that work through GitHub issues and pull requests and want agents to receive failed checks and review comments.
- Users who want to track session states, approvals, token use, and costs across projects.
Key capabilities
- Runs AI coding sessions, shows what changed, and supports taking the work through review and release.
- Keeps an agent working toward a defined goal until completion, blocking, or a configured limit.
- Runs the same task in up to five separate model sessions and can combine the strongest parts into a new session.
- Turns a large diff into an AI-guided, ordered tour that groups related edits and explains how they fit together.
- Lets users inspect a running app beside the conversation and send an element screenshot, styles, position, and browser errors to the agent.
- Starts sessions from GitHub issues or pull requests, sends failed checks and review comments to the agent, and updates or merges pull requests.
- Makes projects and sessions available across desktop, web/PWA, VS Code, iOS, and Android, including progress review and terminal reattachment.
- Connects paired devices through Private Relay with one-time QR codes, encrypted connections, and revocation support.
Limitations and risks
- CLI/Web and VS Code use an installed OpenCode CLI; the desktop bundle avoids a separate installation by including it.
- The documentation advises using LAN mode only on a trusted network and protecting browser access with a UI password.
Getting started
- Download the latest desktop release; on Linux, make the AppImage executable and run it (Linux may require FUSE). The desktop bundle includes a matching copy of the OpenCode CLI, so no separate installation is needed.
- Install the CLI/Web package, which requires Node.js 22+, run the install command, and set a UI password, then open the CLI/Web interface. This path uses an installed OpenCode CLI.
Evidence and sources
- GitHub project description: Agentic Development Environment based on OpenCode AI agent
- README: **OpenChamber is an open-source workspace for running and reviewing AI coding work on desktop, web, VS Code, and mobile.**
- README: Give a session a finish line with **Session Goals**. OpenChamber checks the result after every turn and keeps the agent working until it completes the goal, gets blocked, or reach…
- README: Use **Multi-run** to give the same task to up to five models, each in its own session and optionally its own worktree. See what each one actually built, choose the best result, or…
- README: **Changes Walkthrough** turns a large diff into an AI-guided tour of the change. It groups related edits into steps, puts them in the order the change makes sense, and explains ho…
AI Search
Find projects, verify facts, compare options, or turn a complex need into an actionable plan
Try a searchA click only fills the search box; you stay in control
Project Details
0