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High-Potential
Python
🤖 HunterCode: Local Multi-Agent Investment Terminal
568 stars77 forksPython
ai-agentsai-hedge-fundai-quantanthropicbyokclaude-codedocker-composefinancial-aifintechinvestment-researchllm-agentlocal-first
HunterCode is not just another financial dashboard; it is a local, multi-agent investment research terminal. Positioned as an open-source, local alternative to Tencent's WorkBuddy Finance Edition, it is specifically tailored for researching A-shares, Hong Kong stocks, and US markets.
The core appeal of this project is its strict adherence to data privacy. In the financial sector, keeping data secure is critical. HunterCode emphasizes a Bring-Your-Own-Key (BYOK) and local-first approach, ensuring that all inference runs on your own machine and your portfolio data never leaves your hard drive. It is easily self-hosted via Docker Compose and uses a multi-agent architecture to handle complex research tasks.
The hard part of financial AI is not just fetching data, but getting agents to perform reliable analysis in a highly specialized domain. This project provides a solid open-source infrastructure for quant teams or individual investors who are highly sensitive to data security.