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Show HN: AI agents for UK GDAD PCF roles and their skills The Two Pillars: Mixer Mode and Meta-Software in the Reorganization of Software Work After AI GitHub - JaiCode08/teleport-env What 1,000+ Harness Experiments Taught Me About Self-Improving Agents Show HN: Liiists, a Markdown-first, iOS and CLI list app SwiperTab – Get this Extension for 🦊 Firefox (en-US) GitHub - kouhxp/fftext: Summarize, explain, fact-check, or translate any text, URL, or file. No GPU. No cloud. One command GitHub - sweetpad-dev/sweetpad: Develop Swift/iOS projects using VSCode GitHub - dogmaticdev/IRON: IRON a.k.a. Intermediate Representation Object Notation is a Interpreter/Database that is used to create Programming Languages. GitHub - sjhalani7/vaen: Package your AI coding harness into a portable .agent file, and share it across repos, teams, & the community without ever having to copy-paste instructions, skills, MCP config, or secrets. Show HN: Gandalf the Grader Show HN: Citadeld – replay any CI failure locally from a single file GitHub - tdortman/cuSBF: High-Performance GPU Super Bloom Filter coral-ai/claude-code-token-xray at main · Coral-Bricks-AI/coral-ai GitHub - ulyssestenn/funes: Funes is a Git-based framework for LLM-managed knowledge work: an AI Librarian ingests raw sources, builds an interlinked Markdown knowledge base, and uses it to produce cited reports, analyses, and other outputs. GitHub - ThatXliner/gah: Git Add Hunk, built for agents to use GitHub - harmont-dev/harmont-cli: Command-line client for the Harmont CI platform GitHub - brooksmcmillin/mcp-authflow: OAuth 2.0 Authorization Server framework for MCP servers GitHub - javaid-codes/audit-supply-chain-agents GitHub - amorey/gochan: A small library of common channel architectures for Go, inspired by Rust GitHub - arifozgun/OpenGem: Free, Open-Source AI API Gateway with Gemini, OpenAI & Anthropic Compatibility in 1 file GitHub - Pranesh950/BioPetals: 🌸 Run BIOxAI models at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading GitHub - cnguyen14/bounty-doctor: Diagnose a GitHub bounty issue before you waste hours: detects honeypot scam repos, AI-bot attempt swarms, and stale contests. Show HN: CoreMCP – MCP Server for On-Prem DBs Show HN: KittyHTML – Render HTML/CSS as an inline image in your terminal GitHub - bingud/filemat: Web-based file manager Show HN: TruthLens – Free multi-signal deepfake image detector GitHub - apexlocal-jz/claude-usage-tray: Windows system-tray app showing your Claude Code rate-limit usage at a glance. Zero deps, ~300 lines of PowerShell. Cross-IDE (works regardless of VS Code, Cursor, plain terminal). Release v0.1.2.1 · kouhxp/yapsnap GitHub - noopolis/moltnet: Self-hostable chat network for AI agents. Pre-built bridges for Claude Code, Codex, and the Claws. Rooms, DMs, history. No Slack bots, no Matrix, no glue code.
ai-whisper — ai-creed
vuphanse · 2026-06-27 · via 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.