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Agent infrastructure

agno-agi/agno

Build, run, and manage agent platforms.

PythonrisingLive GitHub sample
View JSON View on GitHub

Current momentum

77capped sample

Stars

42.8K

+83 since sync

Commits

42

in period

Active contributors

5

+0%

Issues closed

0

168h avg. resolution

Recorded trajectory

Movement you can verify over time.

Loading daily momentum history.

Behind the number

A score you can inspect.

Each signal contributes points to the total. These are capped GitHub samples, not complete activity counts or proof of adoption.

Development activity40.0 / 40 pts

42 commits · 63 opened PRs · 0 closed issues in 7 days

24 + 22 × ln(1 + weekly weighted activity). Activity = commits + 2 × opened PRs + closed issues. Signal bounded to 0–100, then weighted 40%.

Contributor breadth17.2 / 25 pts

5 sampled contributors in 7 days · 0% contributor-growth input

24 + 25 × ln(1 + contributors × √(7 / days)) + 0.15 × growth. Growth uses the 30-day windows; capped samples use a neutral 0 input. Signal bounded to 0–100, then weighted 25%.

Issue resolution7.7 / 20 pts

168 hours resolution input

105 − 9 × log₂(1 + hours). Uses sampled closed issues, not first-response time. With no resolved issues, the model uses 168 hours. Signal bounded to 0–100, then weighted 20%.

Release cadence12.0 / 15 pts

5 days cadence input

105 − 5 × cadence days. With fewer than two published releases, the model uses time since the last push as a proxy. Signal bounded to 0–100, then weighted 15%.

Weighted total · rounded once77 / 100

What changed in the recorded sample?

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Agent frameworks alternatives

Evaluate 5 related open-source projects.

Open a bounded 30-day shortlist with the same activity, contributor, response, and release lens—plus explicit fit questions before you choose.

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6.1K forks

Downstream adoption

1.9K open issues

Community demand

5 day cadence

Shipping consistency