Run Hermes Agent on Any Model — Free, Local, and Cost-Routed
The article discusses two open-source projects, Hermes Agent and Lynkr, that aim to improve the usability of AI coding tools. Hermes Agent is a self-improving AI agent that learns from interactions and can operate across multiple platforms. Lynkr serves as a proxy that allows various AI tools to communicate with different model providers seamlessly.
- ▪Hermes Agent is an open-source AI agent that autonomously creates skills and curates its own memory.
- ▪It can integrate with multiple messaging platforms and run on various environments, including local servers and cloud services.
- ▪Lynkr is a self-hosted proxy that enables any AI tool to work with different LLM providers by simply changing environment variables.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3645387) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Vishal VeeraReddy Posted on May 22 Run Hermes Agent on Any Model — Free, Local, and Cost-Routed #ai #opensource #agents #llm If you've spent any time wrestling with AI coding tools and agents in 2026, you've hit two walls: Provider lock-in. Claude Code expects Anthropic. Codex expects OpenAI. Your shiny new agent framework wants whatever its README assumes. Agent amnesia. Every session starts from zero.
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