Framework for building multi-agent equity research agents
I built Hermes, an open-source Python framework for multi-agent financial research. Most AI “equity research” demos stop at generating text. In practice, real workflows require pulling structured XBRL financials from SEC filings, extracting labeled sections like MD&A and Risk Factors, merging macro and market data, building actual Excel models with formulas, and generating investment memos in Word or PDF. Hermes is designed to handle that full pipeline end to end. It includes 35 financial data tools covering SEC EDGAR (via edgartools), FRED, Yahoo Finance market data, and RSS-based financial…
Framework for building multi-agent equity research agents launched on February 25, 2026 with 6 votes, #1,573 of 16,628 launches that month and more than 75% of that year's launches.
What it does
Framework for building sophisticated Investment Research AI agents . - schnetzlerjoe/hermes
In the maker’s words, at launch
I built Hermes, an open-source Python framework for multi-agent financial research. Most AI “equity research” demos stop at generating text. In practice, real workflows require pulling structured XBRL financials from SEC filings, extracting labeled sections like MD&A and Risk Factors, merging macro and market data…
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