Vocoding

Vocoding is a buy-once, privacy-first desktop AI workspace for macOS and Windows that routes your voice requests through 380+ specialized agents and portable skills to hand back review-ready replies, documents, proposals, and code.

What is Vocoding?

Vocoding is a young desktop product that wants to be less of a chatbot and more of an operating layer for AI-assisted work. Built as a macOS and Windows app, it combines push-to-talk voice capture (with local Whisper transcription so your audio stays on-device), a workspace system that auto-loads project context from files like CLAUDE.md and .cursorrules, and a catalog of 380+ specialized agents across 58 domains that it routes requests to using a three-layer router. The pitch is 'hand off work, approve the result': instead of iterating prompt-by-prompt, you describe an outcome once and the system prepares a review-ready first version of a reply, proposal, document, or code pass, using whatever models you plug in — local Ollama, cloud providers like Groq or OpenRouter, or your own ChatGPT and Gemini accounts. Everything is priced as a one-time purchase (€147 Solo up to €697 Agency for 10 seats), with all v1.x updates included, and a founder-led Teams implementation service offered from €3,500. The privacy slider, portable SKILL.md skills, and bring-your-own-model approach are genuinely attractive to technical users. The catch is provenance: this is a roughly three-month-old, solo-founder product sold through a founding-member launch with essentially no independent reviews, no marketplace track record, and only vendor-reported sales to point to — so the buy-once model is both the strongest feature and the biggest question mark.

Key Features

• Voice-Native Capture — Push-to-talk anywhere on the desktop with local Whisper transcription; your voice never leaves your machine.
• 3-Layer Auto-Routing — Fast Guard, Semantic Router, and an Agentic Judge pick a useful route for each request.
• Meta-Agentic Creation — Build agents, skills, and workspaces by voice; scaffolds system prompts and skill graphs in seconds.
• Open Skills Layer — Plain SKILL.md files that read existing .claude, .gemini, and .codex skills, approved once and fingerprint-pinned.
• Specialized Agent Library — 380+ agents across 58 domains, with new agents added weekly and included in every v1.x update.
• Workspaces with Auto-Context — One workspace per project that auto-reads CLAUDE.md, .cursorrules, and Codex configs.
• Three Work Modes — Chat to think, Voice Log to flow, Assistant to delegate, all sharing the same workspace context.
• Privacy Slider — Full Local, Hybrid, or Full Cloud per session; you choose the runtime path for each task.
• Multi-Provider Models — Ollama, Groq, OpenRouter, and Straico, plus your own ChatGPT/Codex and Gemini account runtimes.

Who is it for?

• Solo founders and freelancers who repeat the same client deliverables (proposals, reports, code passes) and want AI that carries context between projects.
• Developers experimenting with agentic AI who want local-model privacy plus cloud flexibility in one tool.
• Privacy-conscious users who want voice dictation and AI assistants without shipping everything to a cloud provider.
• Small studios and agencies (2-10 seats) that want a buy-once shared workspace instead of per-seat SaaS.
• Voice-first workers who already keep CLAUDE.md, .cursorrules, or SKILL.md files and want them portable across tools.

Who is it NOT for?

• Teams that need SSO, admin controls, or enterprise governance — this is a desktop app with seat packs, not an enterprise platform.
• People who want a hosted web app they can open in a browser — it's macOS and Windows desktop only.
• Buyers who need an independent review trail before handing over money — there are none yet.
• Non-technical users who don't want to configure their own model accounts and API keys.
• Linux or mobile users, who have no supported build.