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Stars gained: From Oct 19, 2026 to Nov 4, 2026, each from zeroStars gainedFrom Oct 19, 2026 to Nov 4, 2026, each from zero0100200Oct 19Nov 4, 2026mikamikasuki/forestmll-lab-nu/embodied-first-exam
Stars: The star count at the end of each dayStarsThe star count at the end of each day0200Sep 29Nov 4, 2026mikamikasuki/forestmll-lab-nu/embodied-first-exam

Facts

Factmikamikasuki/forest

FOREST is a research agent for long-horizon science, where evidence gets lost, errors compound, and goals drift. It explores ideas, reads literature, forms hypotheses, runs real experiments, analyzes results, revises paths, and builds a full paper—all in an editable graph you can inspect, branch, redirect, with claims and figures linked to evidence

mll-lab-nu/embodied-first-exam

The first exam for code agents in the physical world: frozen robot tasks from many benchmark suites, each answered with a program and verified in a separate sandbox. Runs on Harbor.

Stars354234
Net stars, last 30 days+284Not recorded
Largest star day+20 on Oct 10, 2026+57 on Oct 19, 2026
Milestone reached in the record100 on Oct 7, 2026100 on Oct 20, 2026
Forks5115
LanguagePythonPython
LicenseAPACHE-2.0MIT
CreatedSep 29, 2026Sep 18, 2026
Last pushNov 3, 2026Nov 4, 2026
ArchivedNoNo
Health facts: Maintenance3 of 4 checks3 of 4 checks
Health facts: Releases1 of 3 checks (1 without data)2 of 3 checks
Health facts: Security practice1 of 1 check1 of 1 check
Health facts: Community files2 of 3 checks3 of 3 checks
Commits, last 13 weeks303128
Weeks with commits, last 526 of 527 of 52
In the Repository Index sinceOct 24, 2026Oct 24, 2026

Topics that all of them have on the Repository Host: ai-agents, llm-agents. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined

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