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Codex can self-configure to integrate third-party models like DeepSeek and Ollama by reading and modifying its config file automatically.
Ollama doubled GPU capacity for GLM 5.2 on its US cloud, using NVIDIA B300 Blackwell GPUs, emphasizing privacy and open models.
Cohere releases North Mini Code, a 30B-A3B open-weights model with 4-bit quantization for code generation and agentic coding tasks, supporting 256K context.
The post notes that local AI models have become significantly more useful over the past year, moving from toys to practical tools for coding and workflows, despite still lagging behind closed models for complex tasks.
GLM 5.2 has been released with open weights under MIT license on HuggingFace, available via API and Ollama, featuring competitive benchmarks that trail Opus 4.8 by a point and edge GPT-5.5 by one.
OpenAI Codex is now free, but even more surprising is that local open-source models can achieve AI Agent performance close to the cloud, demonstrating scenarios like fixing games and developing web games without requiring API keys or internet.
Ollama now supports the Cline CLI, enabling parallel tasks via a Kanban feature for agentic coding in the editor or terminal.
Ollama faces criticism for failing to properly credit the llama.cpp project it depends on, violating MIT license requirements, and taking venture capital funding while drifting from its local-first mission.
Ironsmith is an open-source macOS app that generates custom macOS apps from a single prompt using local AI models like Gemma 4, working on low-end hardware like 8GB MacBook Air.
Supra Labs released Supra Title, a 350M parameter model specialized for generating chat conversation titles. Built on LFM2.5, it runs on any hardware in GGUF format and requires no system prompt.
Claude Bug Hunter has been renamed to BUG HUNTER, a standalone open-source CLI tool that supports multiple AI providers including Ollama, Groq, DeepSeek, Claude, OpenAI, and Grok, designed for the bug bounty community.
A fully offline, CPU-only voice loop for local LLMs using Silero VAD, Parakeet STT, and Supertonic TTS, integrated via a one-command installer. Works with Ollama, LM Studio, and various agent frameworks.
Hermes Desktop App now works with Ollama, enabling users to run local AI agents and open-source models 24/7 for free.
Ollama now supports Hermes Desktop, allowing users to run the model with a single command. Hermes generates Python skills from natural language and improves with use.
TranslateBookWithLLM is an open-source desktop application that supports translating documents in EPUB, SRT, DOCX and other formats using local Ollama or cloud APIs, preserving original formatting and supporting resume from breakpoints.
A user shares that NVIDIA is currently offering top-tier AI models like Nemotron Ultra, DS4flash, Kimi, GLM, and Minimax3 for free with rate limiting, potentially benefiting personal users.
This article presents a practical method to equip OpenClaw agents with local semantic memory search using Microsoft's Harrier embedding model, enabling efficient retrieval of relevant text chunks without external services.
This model is an uncensored version of Google's Gemma 4 12B it model, created using abliteration to remove refusals. It is available on Hugging Face and Ollama, with warnings about sensitive outputs.
A developer shares lessons from building a local document-to-JSON extractor using llama3.2 3B on Ollama, highlighting that deterministic post-processing and schema-constrained outputs matter more than model size, while seeking feedback on hallucination and context truncation issues with long documents.
A small, dependency-free Python CLI tool that runs the same prompt against your local Ollama models and saves every response to disk, making it easy to compare models side by side.