ClawSweeper is a production GitHub App and CLI that autonomously reviews issues and pull requests across OpenClaw repositories, writes durable markdown reports with YAML front matter, applies conservative close/merge/repair actions behind policy guards, and runs Codex/OpenClaw-powered fix, automerge, and issue-implementation repair pipelines. It is deployed as a set of GitHub Actions workflows plus a Cloudflare Workers dashboard backed by Durable Objects, R2, and a separate git state repository with ledgers, canonical record tuples, and telemetry. This is a hard operational bot, not a library or user-facing product; it consumes GitHub webhook and scheduled sweep data and emits state, review records, notifications, and merge/close mutations.
Symphony is an autonomous AI agent orchestration service written in Elixir/Phoenix, designed to manage coding agents (like OpenAI's Codex) that resolve issues from project trackers. In production, it polls Linear, GitHub, GitLab, Jira, or Asana for new work, creates isolated per-issue workspaces, launches Codex agents with provider-native tools, manages retries and backoff, and provides live observability via a terminal dashboard and optional web UI. The architecture follows OTP best practices: a supervisor tree with GenServers for the orchestrator state machine, polling loop, status dashboard, and tracker adapters. Key entry points include the CLI (`SymphonyElixir.CLI.main`), the Phoenix web endpoint, and Mix tasks for code quality checks. Data flows are event-driven: poll tracker -> normalize to Issue struct -> dispatch via AgentRunner -> create workspace -> run Codex turns -> cleanup. The system is explicitly experimental ("engineering preview") but demonstrates strong engineering in its adapter pattern, configuration design, and test infrastructure.