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Hermes Agent

Developer: Nous Research

Autonomous AgentGenerally Available
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Quick Answer β€” What are AI agents for finance?Hermes Agent by Nous Research is an open-source autonomous AI agent that builds persistent memory of your financial workflows and preferences β€” processing 224 billion tokens daily it is the most widely used open-source agent by token volume with MIT license and self-hosting support for financial data privacy.

Open-source autonomous AI agent by Nous Research with persistent memory of financial workflows β€” processing 224 billion tokens daily, it is the most widely used open-source agent by token volume with MIT license and self-hosting.

Pricing Model: freemium

Open Source
Free
Cloud
Free

Hermes Agent by Nous Research is an open-source autonomous AI agent that processes 224 billion tokens per day, overtaking OpenClaw on OpenRouter global inference rankings in May 2026 β€” making it the most widely used open-source AI agent by actual runtime token volume globally. The platform features a persistent memory architecture that builds a model of your financial workflows, preferences, and working style, enabling personalized financial analysis automation that improves with each interaction. Finance teams can deploy Hermes Agent on their own infrastructure via the local dashboard, running persistent AI agents with scheduled jobs for financial data monitoring and analysis. MIT licensed with self-hosted deployment options, Hermes Agent supports OpenRouter, Claude API, OpenAI API, GitHub, REST APIs, local file system access, and browser automation. The platform is ideal for financial institutions that need persistent AI agents that remember their specific workflows, reporting preferences, and data sources β€” delivering increasingly personalized financial analysis automation over time.

Key Use Cases

Persistent financial research agent β€” AI agents that remember your workflow preferences and improve over timePersonalized financial analysis automation β€” automation that adapts to your specific reporting styleFinancial workflow automation with memory β€” agents that learn your recurring tasks and data sourcesScheduled financial data monitoring β€” automated daily, weekly, and monthly financial data collectionOn-premise financial AI with local dashboard β€” self-hosted persistent agents for complete data control

Data Connectors

REST APIOpenRouterLocal file systemGitHubWeb browserPDF upload

Best For

AI EngineerFinance DeveloperFinancial AnalystQuantitative AnalystData ScientistFintech Engineer
AI Model: Hermes (Nous Research), Claude, GPT-4oDeployment: hybridEnterprise Clients: β€”

Finatune Ecosystem

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Finance RAG

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