https://unitedstatesofamericasuperintelligence.com/hubs/local-ai/ Dated, sourced news items about the organizations and records featured in the USASI Running AI on your own hardware hub. Independent project. Not a United States government website. en-us Tue, 13 Oct 2026 12:00:00 GMT https://unitedstatesofamericasuperintelligence.com/news/ollama-0-40-0-runs-models-on-mlx-by-default/ https://unitedstatesofamericasuperintelligence.com/news/ollama-0-40-0-runs-models-on-mlx-by-default/ Tue, 13 Oct 2026 12:00:00 GMT release Ollama published version 0.40.0 on GitHub on October 6, 2026, after a series of release candidates that began with v0.40.0-rc0 on September 25. According to the release notes, model architectures supported by the MLX runtime now run on MLX automatically on Apple Silicon devices, with models listed including qwen3.8, gemma4, qwen3.6, and qwen3.5. The notes say decision models (Nimble, tev1, clef, and clef-flash) and the embeddinggemma-2 embedding model are also available on MLX, and that Ollama will continue testing and enabling additional models. USASI has not tested this release. https://unitedstatesofamericasuperintelligence.com/news/llama-cpp-server-adds-decision-model-support/ https://unitedstatesofamericasuperintelligence.com/news/llama-cpp-server-adds-decision-model-support/ Mon, 05 Oct 2026 12:00:00 GMT release On October 2, 2026 the ggml team announced on the Hugging Face blog that the llama.cpp server now supports decision models through a new /v1/systemone endpoint. Decision models score the options a caller supplies instead of generating text. The pull request that adds the endpoint (#29818) was merged into the llama.cpp repository the same day; it describes these models as wrappers around existing embedding-model architectures and adds a decision head and server handling for them. The announcement lists six supported models (Julia-1, Laya, Kev-4B, lev, OpenJev, and Clef), while the pull request itself covers five of them and lists Clef support as a planned follow-up. https://unitedstatesofamericasuperintelligence.com/news/ollama-0-35-0-adds-decision-models/ https://unitedstatesofamericasuperintelligence.com/news/ollama-0-35-0-adds-decision-models/ Tue, 13 Oct 2026 12:00:00 GMT release Ollama published version 0.35.0 on GitHub on September 28, 2026. The release notes say Ollama now supports decision models through /v1/systemone, based on TypeSafe's Jev API, and that decision models return choices, probabilities, and scores instead of text. The models listed as available are Nimble from Bespoke Labs and Tev1 from Together AI, and the API supports three question types: choice, noul, and score. USASI has not tested this feature. https://unitedstatesofamericasuperintelligence.com/news/hermes-agent-0-20-0-adds-voice-and-a2a/ https://unitedstatesofamericasuperintelligence.com/news/hermes-agent-0-20-0-adds-voice-and-a2a/ Tue, 13 Oct 2026 12:00:00 GMT release Nous Research published Hermes Agent v0.20.0 (tagged v2026.8.3) on GitHub on August 3, 2026, calling it "The Herald Release." The release notes list streaming conversational voice with barge-in and on-device wake words, and a new bundled plugin that implements the Agent-to-Agent (A2A) protocol v1.0 so Hermes can discover, talk to, and be driven by other A2A-compatible agents. The notes also list signed outbound webhooks, grounded research with citations and fact-checking, and a plugin SDK for the desktop app. USASI has not tested this release. https://unitedstatesofamericasuperintelligence.com/news/lm-studio-introduces-bionic-agent-app/ https://unitedstatesofamericasuperintelligence.com/news/lm-studio-introduces-bionic-agent-app/ Tue, 13 Oct 2026 12:00:00 GMT release LM Studio introduced LM Studio Bionic on July 16, 2026, describing it as an AI agent made for open models. The post says Bionic is a new, separate app from LM Studio, that local models in it are powered by the LM Studio runtime, and that it can also use large open models through LM Studio Secure Cloud, which requires an LM Studio account with billing. Described uses include coding, document and file work, and research. The post does not say whether Bionic's software is open source. USASI has not tested this app. https://unitedstatesofamericasuperintelligence.com/news/mozilla-ai-introduces-otari/ https://unitedstatesofamericasuperintelligence.com/news/mozilla-ai-introduces-otari/ Tue, 13 Oct 2026 12:00:00 GMT release Mozilla.ai introduced Otari on July 6, 2026, calling it the open-source LLM control plane built by Mozilla.ai. The announcement says it routes requests across multiple LLM providers through a single endpoint, with budgets and usage visibility for LLM spend, centralized API keys and access controls, automatic failover, and Agent Harnesses for building agent-ready applications. The GitHub repository describes Otari as an open-source, OpenAI-compatible LLM gateway that you run yourself, and it is licensed under Apache 2.0; the post says it can be deployed in hosted or self-hosted environments. USASI has not tested this software.