affaan-m/ECC
ECC is a harness-native operator system designed for agentic AI work, providing a comprehensive solution with skills, memory optimization, security, and research-first development across multiple A...
Awesome AI Agents › Multi-Agent Frameworks
xbtlin/ai-berkshire
AI Berkshire is an advanced investment research framework designed for the AI era, integrating the power of Claude Code and Codex. It systematizes and structures the methodologies of four value investing masters: Warren Buffett, Charlie Munger, Duan Yongping, and Li Lu. The project aims to redefined the depth and efficiency of investment research by enabling professional-grade analysis through AI agents. It addresses the limitations of direct AI queries by forcing conclusions, offering multi-perspective analyses from different 'masters' to highlight potential conflicts, and embedding a robust counter-opinion mechanism to prevent overconfidence. Crucially, it emphasizes financial data accuracy using precise calculations and cross-verification from multiple sources. The framework ensures reproducible research workflows, allowing consistent comparative analysis across companies and over time. Its multi-agent parallel research approach enables a comprehensive investigation, with each agent independently gathering and analyzing information from various sources to produce a consolidated report. The project also claims impressive real-world track records, significantly outperforming major indices.
https://github.com/xbtlin/ai-berkshire
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