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Open Source

Kapso

Kapso by Leeroo: Long-running agents that optimize AI and Data systems, and learn from every experience.

Our verdict

Not reviewed yet

We have not reviewed Kapso yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About Kapso

Kapso is an open-source Python project from Leeroo that provides long-running agents for optimizing AI and data systems, with a focus on learning from each experience. It is ranked #1 open-source on MLE-Bench, ALE-Bench, and RelBench benchmarks.

Best for

Teams building long-running AI/data optimization agents that want a benchmark-proven open-source starting point.

Use cases

  • Automate optimization of machine learning pipelines
  • Monitor and improve data system performance over time
  • Benchmark agent performance on MLE-Bench, ALE-Bench, and RelBench

Notes

118 stars on GitHub. Last updated 2026-09-29. Licensed MIT.

Pros

  • Open-source with a Python codebase
  • Proven performance on multiple benchmarks
  • Designed for long-running autonomous operation

Cons

  • Small user base (118 stars)
  • Focused on benchmark performance, not general-purpose observability
  • Limited information available beyond benchmark claims

Key facts

What we have checked

Days since the last commit
0
Checked GitHub
GitHub forks
21
Checked GitHub
GitHub stars
138
Checked GitHub
Days to a first reply on issues
17.5
Checked GitHub
Open issues
5
Checked GitHub
Releases in the last 90 days
41
Checked GitHub

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

Stars and usage

How Kapso is growing

GitHub stars

118 to 138

stars. 1 Oct 2026 to 6 Nov 2026, 3 readings.

Source: GitHub. Checked .

Health and security

Is Kapso looked after, and what do its setup files show

Health score

87 out of 100

Does someone look after this repository? It does not say the code is good or safe. Worked out from GitHub signals checked . How it is worked out

PartPointsWhat we saw
Recent activity30 of 30Last push 0 days ago
Releases15 of 1541 releases in 90 days
Issue replies9.3 of 20First reply in 17.5 days (median)
Maintainer15 of 15Owned by an organisation
Official sourceNot countedMCP servers only

Sources

Where this comes from

  • GitHubRegistry

    Checked · Days since the last commit, GitHub forks, GitHub stars, Days to a first reply on issues, Open issues, Releases in the last 90 days

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.

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