Show HN: Earshot, a homebrew Claude Tag

A developer released Earshot, an open-source Slack bot that uses Anthropic's Claude to autonomously scope, delegate, and track tasks from Slack threads, with state-machine durability and safety guards enforced by the harness. The tool runs on Bun with SQLite, uses Codex CLI for model access, and is designed for trusted workspaces where silence is a feature and the model never holds keys.

A homebrew Claude Tag https://www.anthropic.com/news/introducing-claude-tag . Bro is literally rebuilding OpenClaw for no reason It sits in your Slack channels and mostly stays quiet. Mention it and it takes real work: scoping, filing, delegating, tailing. Between mentions it listens, and when the prod alert fires at 2am it has already read the thread, checked the tracker, and decided whether to wake you. you @earshot that parentNode crash is back, scope it and hand it off bot on it, scoping first so the handoff has a real brief ⚙ reading thread · checking linear ×3 scoped and delegated: ENG-165 now carries the prior root cause, starting files, and acceptance criteria. i'll tail it and only ping you on PR, escalation, done, or stuck. ⋮ ENG-165 hit staging with PR 840 attached. Every task reports back. A thread is not a task: work lives in a durable ledger with a state machine, timers, and restart recovery. Kill the process mid-task and it still tells the channel how it ended. Silence is a feature. It learns what each channel is and calibrates; standing rules are one line of YAML. Posts are hard-capped per day, and an emoji is the preferred acknowledgment. The model doesn't hold the keys. Grants, confirmation gates, spend budgets, append-only audit, all enforced by the harness. Prompts shape behavior; they don't guard it. One process, one bun:sqlite file, near-zero dependencies. Readable in an afternoon. Warning Single-operator build for trusted workspaces. Venue membership is the ACL. Bun https://bun.sh + a Slack app in Socket Mode + the Codex CLI logged in via exe.dev https://exe.dev bills to a ChatGPT plan, not API tokens . git clone https://github.com/Octember/earshot && cd earshot bun install cp deploy/policy.example.yaml policy.yaml .env: SLACK BOT TOKEN, SLACK APP TOKEN, SLACK BOT USER ID bun run src/main.ts doctor bun run src/main.ts start Runbook: DEPLOY.md /Octember/earshot/blob/main/DEPLOY.md . Or build your own from the spec: the behavior is fully defined in SPEC.md /Octember/earshot/blob/main/SPEC.md RFC-2119, runtime- and platform-agnostic ; bun test is its conformance matrix.