Everything / AI agents / Deep research agents
Deep research agents Emerging
On TutorHero's Everything Index, Deep research agents is emerging on GitHub: 0.10 of every 10,000 new public repos over the last three months (102 a month), +241% vs a year ago. The 12-month forecast says rising (+47%). By the end of 2032, lines in the same state ended between 0.01x and 2.5x of where they started (median 0.53x).
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 deep-research 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: Deep research agents is emerging, +241% share of new GitHub repos vs a year ago.
- Start by reading mvanhorn/last30days-skill (+2.7k stars in 3 months) and bytedance/deer-flow (+2.4k stars in 3 months).
- People to follow: LearningCircuit, Johell1NS.
- Getting crowded: new repos +241% but attention -38%, so each new project competes harder for stars.
- 29.3 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: +47% (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: 0.71% of new stars on the repos we track, -38% in a year.
- Hacker News: 2 stories a month, -73% share in a year.
- Not investment advice: this measures what people build on GitHub, not any company.
- Most-starred tools here lately: mvanhorn/last30days-skill (vouched), bytedance/deer-flow (vouched).
- The field is emerging, so expect new tools and fast changes; pin versions.
Repos carrying it now
People building it
LearningCircuitBuilding local deep research tools and AI review automations.Influence 51
Johell1NSCreating AI agent skills for web search and drinks sommelier.Influence 22More in AI agents
Questions
Is Deep research agents growing on GitHub?
Yes. Its share of all new public GitHub repos is +241% vs a year ago and +39% over the last three months (Sep 2026). Phase: Emerging.
How many new Deep research agents repos are created each month?
About 102 new public repos a month carry the deep-research tag (three-month average to Sep 2026), or 0.10 of every 10,000 new repos.
What will Deep research 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 0.13x and 1.28x 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.