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PurrrrrFocus: Pomodoro Timer App - App Store Workflow Engine — Multi-Step Orchestration for Bun RapidPhoto: Pro Photo Editor App - App Store GitHub - DheerG/swarms: Achieve extraordinary results with claude code across a variety of tasks SPICE simulation → oscilloscope → verification with Claude Code — Lucas Gerads Show HN: VCoding – A 5 MB native Windows IDE with no dynamic dependencies Show HN: LLMs don't hallucinate because they're bad at math, it's the format GitHub - Agent-FM/agentfm-core: AgentFM is a peer-to-peer network that turns everyday computers into a decentralized AI supercomputer. AgentFM lets you run massive AI workloads directly across a global mesh of idle CPUs and GPUs. Show HN: Tracking Top US Science Olympiad Alumni over Last 25 Years GitHub - Potarix/agent-hub: One place to talk to all your agents Show HN: Runtime security for AI agents(injection,tool abuse, data exfiltration) GitHub - dubeyKartikay/lazyspotify: Terminal Spotify client for macOS and Linux GitHub - the-banana-tool/king-louie: Easy to use GUI Personal AI Assistant. Win/Linux/Mac. Show HN I made my vacation rental bookable by AI agents–no Airbnb, 0% commission GitHub - basteez/jsf-autoreload: maven plugin to enable hot reload on jsf projects uvm32/hosts/host-gdbstub at main · ringtailsoftware/uvm32 GitHub - labsai/EDDI: Config-driven engine that turns JSON into production-grade AI agents. Multi-agent orchestration, 12+ LLM providers, MCP/A2A protocols, RAG, persistent memory, and enterprise compliance (EU AI Act, GDPR, HIPAA). Built on Quarkus. GitHub - glitchnsec/fortyone-oss: AI Executive Assistant Platform Quickstart | Alien GitHub - muxshed/shed: One stream in, or many. Every destination, simultaneously. No cloud middleman, no per-channel fees, no limits. GitHub - ocrbase-hq/ocrbase: 📄 PDF/IMG ->.MD/JSON Document OCR API for PaddleOCR and GLMOCR. Self-hostable. GitHub - impactjo/home-memory: MCP server that lets your AI assistant remember everything about your home. GitHub - Sets88/dbcls: DbCls is a powerful terminal database client that supports various databases GitHub - neptun2000/heor-agent-mcp GitHub - SeanFDZ/macmind: Single-layer transformer in HyperTalk for the classic Macintosh RollQuation: Math Puzzles - Apps on Google Play GitHub - dropbox/witchcraft Show HN: Agent-cache – Multi-tier LLM/tool/session caching for Valkey and Redis GitHub - opentalon/opentalon: OpenTalon is an open-source platform built from the ground up in Go as a robust alternative to OpenClaw LinkedIn™ 职位抓取工具 - Chrome 应用商店
ai-whisper — ai-creed
vuphanse · 2026-06-27 · via Hacker News: Show HN

v0.7.0 — open source, on npm, actively used personally.

what it does

ai-whisper pairs two coding agents in your terminal — mount any two of Claude, Codex, and ezio, provider-agnostic by design. They share a single baton — one owns the turn at a time — and structured workflows drive the collaboration, with an evaluator gating each round. The relay isn’t tied to any one arrangement; today’s workflows pair an implementer and a reviewer (spec-driven-development, ralph-loop, complex-bug-fixing, deliberation).

why

Hard agent tasks go better with a second agent reviewing. Whisper makes that pairing feel like one workflow instead of two terminals pretending to talk to each other.

ai-whisper was built this way: nearly every feature started as a spec run through its own spec-driven-development workflow.

# features

  • structured workflows — spec-driven-development, ralph-loop, complex-bug-fixing, deliberation
  • single-baton relay — one owner at a time, not a swarm
  • role-agnostic — workflows assign the roles (today: implementer + reviewer)
  • autonomous loops gated by an llm evaluator
  • pausable, resumable runs — pause a healthy run mid-flight, recover a stuck one, don't restart
  • real mounted claude / codex / ezio sessions as the source of truth

workflows

A workflow is a structured loop — phases, gates, round budgets — not a long prompt. Pick by the shape of the work:

  • spec-driven-development — when you can describe “done” up front. Sharpens a spec into a plan, then executes it under review.
  • ralph-loop — when you can’t. Grinds an open-ended goal chunk-by-chunk, a reviewer gating each one.
  • complex-bug-fixing — when a bug is reported but the root cause isn’t. Three phases (diagnosis → fix-and-verify → post-mortem), with the implementer required to reproduce the bug — a committed failing test, not speculation from reading code.
  • deliberation — when the idea is still fuzzy and you can’t describe “done” yet. An Explorer and Challenger map the space (objectives → approaches → tradeoffs → synthesis), then hand back a committed findings doc to take into brainstorming or SDD.

Whichever you pick, you write the spec, goal, or bug report; the run converges on the criteria you set — so a precise artifact is most of the outcome.

Autonomous covers the loop, not the ship decision. A finished run is a strong draft: you still read the diff, run it, and QA it before it lands. ai-whisper does the convergence and hands you the full trail to judge fast.

see it run

A real spec-driven-development run: Claude (left) and Codex (middle) work in their own mounted sessions while the dashboard (right) tracks the baton handoffs and per-phase verdicts.