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Stars gained: From Apr 30, 2026 to Nov 5, 2026, each from zeroStars gainedFrom Apr 30, 2026 to Nov 5, 2026, each from zero0200400Apr 30Nov 5, 2026OWASP/www-project-agent-memory-guardYichengYang-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, 2026OWASP/www-project-agent-memory-guardYichengYang-Ethan/oracle3-prediction-market-agent

Facts

FactOWASP/www-project-agent-memory-guard

Runtime defense against memory poisoning in AI agents (OWASP ASI06). Drop-in for LangChain, OpenAI Agents, AutoGen, CrewAI and mem0.

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.

Stars195564
Net stars, last 30 days+13+226
Largest star day+15 on Jul 13, 2026+31 on May 11, 2026
Milestone reached in the record100 on Jul 26, 2026500 on Oct 23, 2026
Forks6367
LanguagePythonPython
LicenseAPACHE-2.0APACHE-2.0
CreatedFeb 16, 2026Feb 28, 2026
Last pushNov 5, 2026Oct 12, 2026
ArchivedNoNo
Health facts: Maintenance2 of 4 checks (2 without data)2 of 4 checks (2 without data)
Health facts: Releases2 of 3 checks (1 without data)2 of 3 checks (1 without data)
Health facts: Security practice0 of 1 check (1 without data)0 of 1 check (1 without data)
Health facts: Community files1 of 3 checks (2 without data)1 of 3 checks (2 without data)
Commits, last 13 weeksNo dataNo data
Weeks with commits, last 52No dataNo data
In the Repository Index sinceOct 22, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: ai-agents, python, agentic-ai, llm-agents, mcp, mcp-server. 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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