Owl

Retirement planner with great wisdom

LLM Mart 0 views 1 listing impressions
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No install snippet on purpose. A working MCP config is a command, its arguments and an environment block — the last two are where API keys live, so this catalogue never stores them and cannot publish them. Follow the link above for the authors' own instructions.

Version PyPI Python License: GPL v3 Docker Streamlit App

Open-source retirement planning optimizer powered by Actual Intelligence — connect it to your AI assistant

Roth conversion optimizer · Social Security claiming strategy · Monte Carlo retirement simulator · Python retirement calculator · AI retirement planner · MCP retirement tool · Claude Gemini Cursor Zed VS Code


TL;DR

Owl is an open-source retirement planning tool that helps US retirees answer the hardest questions in retirement income planning: when to claim Social Security, how much to convert to Roth each year, which accounts to withdraw from first, and how to minimize lifetime taxes. It uses mixed-integer linear programming to optimize withdrawal strategies rather than merely simulate them, finding the mathematically best sequence of decisions across all accounts simultaneously.

Users can stress-test their plan with historical back-testing, Monte Carlo simulation with sequence-of-returns risk, or fixed rates derived from historical averages.

Owl covers the full US tax landscape: federal income tax, state income taxes for all 50 states and DC, long-term capital gains, NIIT, Medicare IRMAA surcharges, ACA marketplace premiums, RMDs, and Roth conversion rules — all embedded directly in the optimizer so that tax-efficient retirement income planning is built into every result, not applied as an afterthought.

Owl Savings Balance plot: tax-deferred accounts drawn down while Roth balances grow through optimized conversions
Optimized account balances over time (today's dollars): Owl draws down tax-deferred accounts while growing tax-free Roth balances through early-retirement conversions.


Key capabilities

From the project's README.