Everything / Vision and robotics / Embodied AI
Embodied AI Emerging
On TutorHero's Everything Index, Embodied AI is emerging on GitHub: 0.17 of every 10,000 new public repos over the last three months (161 a month), 6x vs a year ago. The 12-month forecast says rising (+74%). By the end of 2032, lines in the same state ended between 0.01x and 2.5x of where they started (median 0.54x).
Since 2019, and the range to 2032
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
New public repos with the embodied-ai 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
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
- Worth learning now: Embodied AI is emerging, 6x share of new GitHub repos vs a year ago.
- Start by reading dexmal/opendm (+1.8k stars in 3 months) and dexmal/opendw (+800 stars in 3 months).
- People to follow: Tianxing Chen (陈天行), RLinf, Dexmal.
- Builders and attention both rising: new repos 6x, attention +31% in a year.
- 20.4 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: +74% (Rising).
- 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: 0.46% of new stars on the repos we track, +31% in a year.
- Hacker News: 2 stories a month, 4x share in a year.
- Not investment advice: this measures what people build on GitHub, not any company.
- Most-starred tools here lately: dexmal/opendm, dexmal/opendw.
- The field is emerging, so expect new tools and fast changes; pin versions.
Repos carrying it now
People building it
Tianxing Chen (陈天行)PhD. Student @HKU-MMLab , Founder @Lumina-EAI Influence 57
RLinfReinforcement learning infrastructure for embodied and agentic AI.Influence 34
DexmalBuild Intelligent, Useful and Trustworthy Robots to Make Our Life Better.Influence 11
RobbyantIntelligence in Action, Benefits for EveryoneInfluence 36
worldbenchSurveys and benchmarks for world models and autonomous driving.Influence 30
OpenMOSS (SII)Open-source conversational language and speech models.Influence 56
robocurveWe measure and report frontier robotics capabilities to the public.Influence 3
LAMDA-NeSy @ Nanjing UniversityNeuro-Symbolic, LLM Reasoning & Planning, Multi-Modal Reasoning, AgentInfluence 14More in Vision and robotics
Questions
Is Embodied AI growing on GitHub?
Yes. Its share of all new public GitHub repos is 6x vs a year ago and +81% over the last three months (Sep 2026). Phase: Emerging.
How many new Embodied AI repos are created each month?
About 161 new public repos a month carry the embodied-ai tag (three-month average to Sep 2026), or 0.17 of every 10,000 new repos.
What will Embodied AI 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.
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.