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Claude for Financial Services: Open-Source Finance Agents

Anthropic has published Claude for Financial Services , an open-source repository of reference agents, skills, and data connectors for the financial-services workflows it sees most often: investment banking, equity research, private equity, and wealth management. The project lives at github.com/anthropics/financial-services , is written primarily in Python, and ships under the Apache License 2.0.…

Anthropic has published an open-source repository called Claude for Financial Services, which contains reference agents, skills, and data connectors for financial-services workflows. The project is available on GitHub, written in Python, and licensed under Apache License 2.0. It allows users to install agents as Claude Cowork plugins or deploy them through the Claude Managed Agents API.

This open-source implementation provides a concrete example of AI in financial services, enabling firms to inspect and customize the technology for their specific needs. The repository focuses on structured, repetitive tasks such as building comparable company analyses, updating models after earnings calls, reconciling general ledgers, and screening KYC documents.

These tasks are suitable for AI workflows but require human oversight due to regulatory constraints. Anthropic's answer to the question of whether AI can perform these tasks in a compliant manner is twofold: first, every agent drafts analyst work product for review by a qualified professional, and second, the repository contains plain files, ensuring transparency and auditability.

The repository is organized into ten named agents, each responsible for a specific workflow, and vertical plugins that bundle skills, slash commands, and data connectors by line of business. The ten agents cover coverage and advisory, research and modeling, fund administration and finance operations, operations, and onboarding. Each agent is a starting point that can be customized to a firm's conventions, making Claude for Financial Services a valuable resource for financial services teams exploring AI applications.

Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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