Use custom models on remote sessions
Kilo CLI 7.4.2 now allows custom models on remote sessions, letting users select from their local model catalog—including ChatGPT subscriptions, Ollama, LM Studio, or self-hosted endpoints—directly fr…
Kilo CLI 7.4.2 now allows custom models on remote sessions, letting users select from their local model catalog—including ChatGPT subscriptions, Ollama, LM Studio, or self-hosted endpoints—directly fr…
LM Studio Bionic, the agentic workflow platform for open models, now supports Moonshot AI's Kimi K3, a 2.8-trillion-parameter model with a 1-million-context window. The addition gives users access to …
Open source AI models like Llama 3 and Mistral offer users ownership and control over their AI workflow, eliminating the black box problem of proprietary APIs. Running models locally via tools like Ol…
Ollama and LM Studio both enable running local large language models, but Ollama offers better performance and developer integration as a headless background service with a robust API, while LM Studio…
Deploying large language models locally requires matching hardware to model size, with quantization enabling massive models to run on consumer hardware. Ollama, LM Studio, and vLLM are recommended too…
ARIA, a voice-native 3D spatial AI security operations cockpit with governed autonomy, is now available under BSL 1.1 for evaluation and research. Developed by a solo developer, the platform runs enti…
A developer built a local-first voice-enabled AI assistant by combining Nous Research's open-source Hermes Agent framework with Kokoro TTS, achieving natural speech responses without cloud API costs o…
Speculative decoding can speed up local large language model inference by 1.5 to 2.5 times without changing output quality, according to research from Google and DeepMind. The technique uses a small d…
Ekorbia v0.6 ships a bundled inference engine that runs models locally without requiring Ollama or a terminal, while v0.7 delivers a visual refresh with simpler theme names and quieter defaults. The n…
A developer built a fully offline AI development stack integrating LM Studio, Ollama, and TormentNexus to eliminate cloud dependency, achieving sub-100ms response times for code completion and zero da…
The Pi SDK v0.79.2 does not contain the ModelRuntime.create() API referenced in issue #947, but a spike test by the engineering team confirmed that local models via LM Studio and Ollama are fully cove…
A user with a 2017 Intel MacBook Air seeks advice on running local LLMs, citing compatibility issues with Ollama due to macOS 12 restrictions. Potential solutions include LM Studio, llama.cpp, and GPT…
JetBrains Air now supports GitHub Copilot, OpenCode, Pi, Cline, and other ACP-compatible agents, adds IntelliJ-powered navigation and diagnostics for Java and Kotlin, and enables local models via Olla…
Prince Canuma's Nativ is a new macOS desktop application that wraps Apple's MLX framework to run AI models locally, offering both a chat interface and a localhost API server. The app automatically det…
LM Studio released Bionic on July 16, a new agent application for Mac and Windows that marks the company's first metered product with a checkout page, pivoting from its free local LLM desktop app to a…
A new wave of open-source AI assistants that run entirely on local hardware, with no subscription fees or data leaving the machine, includes MiniCPM Desk Pet, OpenHuman, and Jan AI, which has six mill…
On a 128GB unified memory system using AMD's Ryzen AI Max Plus 395 chip, a dense 9B model with a speculative drafter ran at just under 40 tokens per second, a 35B mixture-of-experts Qwen3.6 model with…
AMD's Ryzen AI Developer Center, bundled with Ryzen AI Max Plus 395 machines, eliminates manual ROCm and driver setup for local AI workloads, offering guided playbooks for ComfyUI, LM Studio, and Unsl…
AMD's Ryzen AI Max Plus 395 chip, featuring 128GB unified LPDDR5X memory and a Radeon 8060S GPU, enables local machines to run 100B+ parameter large language models like GPT-OSS 120B without a discret…
LLMrPro, a new self-hosted LLM router, pools users' own machines as inference workers with automatic per-tier cloud fallback, exposing a single OpenAI-compatible API. The open-source project, released…