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. Your "AI assistant" doesn't actually learn anything about you, your codebase, or the work you did yesterday.
Two open-source projects address those problems head-on — and they pair beautifully together.
— a self-hosted universal LLM proxy that lets any AI tool talk to any model provider.
This post explains what each one is, why they exist, and shows you the exact steps to run Hermes through Lynkr so you can route Hermes to Databricks, Bedrock, Ollama, llama.cpp, Azure, OpenRouter — or all of them with automatic cost-tier routing.
What Is Hermes Agent?
Hermes is an open-source AI agent (MIT-licensed, built by
If you build something with this combo, drop a comment — I'd love to see what stacks people are putting together.
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