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Stars gained: From Sep 29, 2026 to Nov 5, 2026, each from zeroStars gainedFrom Sep 29, 2026 to Nov 5, 2026, each from zero0200Sep 29Nov 5, 2026mikamikasuki/forestYichengYang-Ethan/oracle3-prediction-market-agent
Stars: The star count at the end of each dayStarsThe star count at the end of each day0250500Apr 25Nov 5, 2026mikamikasuki/forestYichengYang-Ethan/oracle3-prediction-market-agent

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

YichengYang-Ethan/oracle3-prediction-market-agent

Oracle3: open-source trading engine and MCP server for prediction markets. Finds fee-adjusted no-arbitrage violations across related event contracts and trades them live on Kalshi, Polymarket and Solana, or on paper, under pre-trade risk limits. 13 MCP tools, JSON CLI, agent skills, 600+ tests.

Stars354564
Net stars, last 30 days+266+226
Largest star day+20 on Oct 10, 2026+31 on May 11, 2026
Milestone reached in the record100 on Oct 7, 2026500 on Oct 23, 2026
Forks5167
LanguagePythonPython
LicenseAPACHE-2.0APACHE-2.0
CreatedSep 29, 2026Feb 28, 2026
Last pushNov 3, 2026Oct 12, 2026
ArchivedNoNo
Health facts: Maintenance3 of 4 checks2 of 4 checks (2 without data)
Health facts: Releases1 of 3 checks (1 without data)2 of 3 checks (1 without data)
Health facts: Security practice1 of 1 check0 of 1 check (1 without data)
Health facts: Community files2 of 3 checks1 of 3 checks (2 without data)
Commits, last 13 weeks303No data
Weeks with commits, last 526 of 52No data
In the Repository Index sinceOct 24, 2026Oct 22, 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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