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Topics: task-automation

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2 repositories by Attention Score · Oct 4, 2026 – Nov 2, 2026 (UTC)

Language: Python
Topic: task-automation
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1.lsdefine / GenericAgent

Self-evolving agent: grows skill tree from 3.3K-line seed, achieving full system control with 6x less token consumption

ai-agent
automation
autonomous-agent
browser-automation
claude
computer-control
+9 more

Python MIT14K total1.7K forks

+142 stars

from 14,239 · score 4.96

2.camel-ai / owl

🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation

agent
artificial-intelligence
multi-agent-systems
task-automation
web-interaction

Python No license20K total2.3K forks

+46 stars

from 20,120 · score 3.85

Order: Attention Score

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Ranked by stars gained in the window. The score is the natural log of one plus that gain, so a repository's rank is exactly its star gain's rank.

score = log1p(net stars gained in the trailing T complete UTC days)

A repository is ranked only when its Star History covers every day of the window and its latest Observation is not missing.

The longest window is 180 days. Star History from the Repository Host goes back at most 180 days before a repository's first Observation. A longer window needs more days of Observations first. A repository younger than the window is not ranked in it.

The filters narrow the same eligible repositories. A repository matches the topics when it has any of them. Total stars is the count now. Last push and creation on the Repository Host count back from the start of today (UTC). The counts beside the languages, licenses, and topics include all ranked repositories in the window. A Category holds the repositories that its published rules match; see Categories.

Repositories enter the index from the Seed Dataset or by gaining stars faster than the published admission threshold, whatever their size. Admission is permanent, so an archived repository can still rank.

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