Mozilla.ai

Mistral Large 4 is live in Otari from day one. Route to Mistral's 1T-parameter MoE model with one string change, and keep the policies, traces and cost tracking you already run in Otari, Mozilla AI's open-source gateway and policy layer.

Coding agents now edit repos, run tests, and open pull requests, but a rule in AGENTS.md is an instruction, not a constraint. As we delegate more, we need limits that hold even when model judgment fails, a record of every decision, and open infrastructure we own, so rules outlive any agent.

Benchmarking Local LLM Servers evaluates llama.cpp, llamafile, LM Studio, and Ollama across Mac, Linux, and Steam Deck. The study reveals build flags and configurations drive up to 63% performance gains, whereas underlying engines perform similarly due to a shared llama.cpp core.

Benchmarking Local LLM Servers evaluates llama.cpp, llamafile, LM Studio, and Ollama across Mac, Linux, and Steam Deck. The study reveals build flags and configurations drive up to 63% performance gains, whereas underlying engines perform similarly due to a shared llama.cpp core.

Agent Skills in Octonous offer a central, reusable library for your context, guidelines, and procedures. Written in standard Markdown, Skills end repetitive setup. Store team knowledge once, share it across your workspace, and seamlessly attach it to automated tasks or live conversations.