cyberagent is an open-source LLM agent chain for investment analysis that traces any stock to its supply-chain constraint, avoiding narrative-driven tops. It supports A-share, HK, and US markets, and is designed for quantitative finance researchers seeking physical-bottleneck and reverse-consensus insights. Users bring their own LLM key.
In the Autonomous agents & workflows space, cyberagent takes a focused approach. It focuses on automating deep investment analysis by tracing stocks to their physical supply-chain constraints using LLM agents. It is built as an open-source project for quantitative finance researchers. cyberagent is open source under the MIT license. The product ships for the command line.
CyberK13 builds and maintains cyberagent, and the product first shipped in 2026. Development happens publicly on GitHub with 21 commits in the last 90 days. Key capabilities include LLM agent chain, supply-chain tracing, and investment analysis. It exposes integrations via an MCP server.
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