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 Frameworks & runtimes 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. It ships for the command line.
It is developed by CyberK13, and it first shipped in 2026. The project is developed in the open 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.
Summary written by a language model from the project’s public pages.
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