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Everything / Voice and audio / Voice agents

Trend in Voice and audio · tag voice-agent · through Sep 2026

Voice agents Emerging

On TutorHero's Everything Index, Voice agents is emerging on GitHub: 0.17 of every 10,000 new public repos over the last three months (170 a month), 6x vs a year ago. The 12-month forecast says rising (+75%). By the end of 2032, lines in the same state ended between 0.01x and 2.5x of where they started (median 0.54x).

Per 10k new repos0.17170 new repos a month
Year over year6x3 months: +83%
Next 12 months+75%80% band +48% to 6x
2032, median of history0.54x90% of past cases: 0.01x to 2.5x
Attention0.27%of new stars, -12% in a year
Jev 2032 callnot read yetonly top trends are sent to Jev
Share on X

Since 2019, and the range to 2032

0.010.030.10.3120192020202120222023202420252026202720282029203020312032Range to 2032 (history of similar lines)Stable Diffusion releasedChatGPT launchesGPT-4Llama 2, open weightsModel Context ProtocolDeepSeek-R1Claude Code previewHigh 0.43Median 0.09Low 0.00

New repos per 10,000 (3-month average, log scale)12-month forecastRange to 2032: middle half and 90% of past similar lines

The range is not a forecast of this line: it is what GitHub lines in the same state (more than doubled its share of new repos in a year) did 1 to 5 years later, 2019 to 2026, applied to today's level. Past 5 years it is stretched, not measured. Checked out of time (learned before 2022, scored after), 71% of outcomes landed inside the 90% range, so read it as wide. Open it in the Everything chart.

Week by week

Last week42 new reposOct 12 to Oct 18 · -58% against the field
Last 4 weeks▼ -18%214 new repos, against the 4 weeks before and the field
AprMayJunJulAugSepOct

New public repos with the voice-agent tag each week (Monday to Sunday, UTC). The outlined bars, last week included, are still filling in, as tags are often added days after a repo is created, so their height will grow a little. "Against the field" divides the change by what the typical tag did, so a wave that lifts every tag does not count. Hover for the numbers.

Built vs talked about

Hacker News5 stories a month4x share of HN vs a year ago · titles with "voice agent"
Talk vs buildingTalked about more than builtHacker News 4x vs GitHub new repos 6x over the year, compared with the typical trend

Each line is its own share (of all new GitHub repos, all Hacker News stories, all English Wikipedia views, all new stars on the repos we track), shown as a share of its own peak, so the timing and shape compare even though the units differ. Hover for the counts. Tap a name to hide or show a line.

What it means

Studentslearning it, contributing, getting hired
  • Worth learning now: Voice agents is emerging, 6x share of new GitHub repos vs a year ago.
  • Start by reading agentscope-ai/agentscope (+2.4k stars in 3 months) and xzf-thu/VoiceMem (+2.2k stars in 3 months).
  • People to follow: QwenAudio.
Founders and builderswhat to build next
  • Getting crowded: new repos 6x but attention -12%, so each new project competes harder for stars.
  • 14.5 new stars per new repo over 3 months, vs 8.50 for the typical trend: more demand per project than most fields.
  • The 12-month forecast for its share: +75% (Rising).
  • Talked about more than built: Hacker News 4x vs new repos 6x in a year, more talk per builder than the typical trend, so demand for builders may run ahead of supply.
Investorswhich fields deserve research time
  • History: of past GitHub lines that more than doubled its share of new repos in a year, 61% had a smaller share 3 to 5 years later and 8% at least doubled.
  • Attention: 0.27% of new stars on the repos we track, -12% in a year.
  • Hacker News: 5 stories a month, 4x share in a year.
  • Not investment advice: this measures what people build on GitHub, not any company.
Developers choosing toolswhich tools to adopt
  • Most-starred tools here lately: agentscope-ai/agentscope (vouched), xzf-thu/VoiceMem.
  • The field is emerging, so expect new tools and fast changes; pin versions.

Repos carrying it now

agentscope-ai/agentscopeBuild and run agents you can see, understand and trust.+2.4k stars in 3 months · vouched
xzf-thu/VoiceMemInfrastructure for the next generation of voice agents, designed to provide universal memory. It is divided into a left brain and a right br+2.2k stars in 3 months · new
Deuz-AI/Deuz-SDKTypeScript AI SDK and agent framework with zero dependencies. Build production AI agents and multi-agent swarms: durable execution, long-ter+701 stars in 3 months
ddalcu/mlx-serveNative LLM inference server for Apple Silicon. OpenAI + Anthropic API compatible. No Python. Zig backend, Swift frontend macOS app with chat+653 stars in 3 months · organic
QwenAudio/qwen-audio-agentA realtime voice runtime that keeps Agents talking, working, and present. Real-time Voice Runtime for AI Agents+544 stars in 3 months · vouched
spaceamoeba-t/tapqMulti-modal voice agent for your AI agents. Talk with Claude Code, Codex, and others by voice: answer their prompts, give instructions, ask +423 stars in 3 months

People building it

More in Voice and audio

Questions

Is Voice agents growing on GitHub?

Yes. Its share of all new public GitHub repos is 6x vs a year ago and +83% over the last three months (Sep 2026). Phase: Emerging.

How many new Voice agents repos are created each month?

About 170 new public repos a month carry the voice-agent tag (three-month average to Sep 2026), or 0.17 of every 10,000 new repos.

What will Voice agents look like in 2032?

Nobody knows, and we say how much. Of past GitHub lines that more than doubled its share of new repos in a year, the middle half had between 0.14x and 1.27x of their share 3 to 5 years later, and 61% ended smaller.

Is Voice agents more talked about than built?

Talked about more than built. Over the year its share of Hacker News stories moved 4x while its share of new GitHub repos moved 6x. New repos grew faster than talk for most AI trends this year, so the label compares it with the typical trend: 2.5 times the talk per builder of the median trend.

Not investment advice. Measurements of what people build and star on GitHub, a statistical forecast, base rates and a model's reading of them. Nothing here is about any company's revenue, valuation or stock.