Roomote

Roomote is a self-hosted, source-available AI coding agent built for engineering teams that want autonomous coding work without handing their code, prompts, or data to a vendor's black box. It connects to the tools your team already uses and returns reviewable pull requests through your normal review workflow.

Unlike IDE-based tools like Cline or local agents, Roomote runs in the cloud on your own infrastructure. You assign it work from Slack, an issue tracker, GitHub, or the web. It investigates, plans, and ships changes, then opens a PR your team can read end to end. You keep full control of what merges.

What it can do:

• Full lifecycle tasks. Repo-backed answers, scoped fixes, database migrations, bug investigations, and reviewable PRs. Not just code suggestions.
• Self-review loops. Before marking work done, it runs the actual app, reviews its own changes, and attaches previews or screenshots as proof.
• Live preview URLs. Reviewers get a running instance to inspect, not just a diff.
• Parallel tasks. Multiple teammates can run unlimited tasks simultaneously, including live multi-user sessions on the same issue.
• Model-agnostic. Bring Claude, GPT, or any open-weight model. Swap providers without changing your workflow.
• Broad integrations. Connects to Jira, Linear, Sentry, Grafana, Supabase, BigQuery, Snowflake, Figma, Notion, PostHog, Vercel, and more.

Roomate uses OpenCode as its underlying harness, which keeps it token-efficient compared to first-party vendor agents.

Every prompt, decision path, and line of the agent is in the repository. You can read it, fork it, and adapt it for your team's needs. The license lets you self-host, modify, and redistribute it for internal use, education, and professional services. Competing commercial products built on top of it are the main restriction.

It's a practical fit for engineering leaders who want model choice and deployment control, and for solo developers who want a cloud agent they own and can run cheaply on open-weight models. Non-engineering teammates can also assign work through familiar interfaces without any local setup.