Ollama is recommended for businesses and teams seeking an efficient project management solution. It is especially useful for remote teams, startups, and any organization looking to enhance collaboration and project tracking capabilities.
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Based on our record, Ollama seems to be a lot more popular than RecurseChat. While we know about 172 links to Ollama, we've tracked only 15 mentions of RecurseChat. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
We also need a model to talk to. You can run one in the cloud, use Hugging Face, Microsoft Foundry Local or something else but I choose* to use the qwen3 model through Ollama:. - Source: dev.to / 8 days ago
Now we will use Docker and Ollama to run the EmbeddingGemma model. Create a file named Dockerfile containing:. - Source: dev.to / 9 days ago
For the physical hardware I use the esp32-s3-box[1]. The esphome[2] suite has firmware you can flash to make the device work with HomeAssistant automatically. I have an esphome profile[3] I use, but I'm considering switching to this[4] profile instead. For the actual AI, I basically set up three docker containers: one for speech to text[5], one for text to speech[6], and then ollama[7] for the actual AI. After... - Source: Hacker News / 12 days ago
In short, Ollama is a local LLM runtime; itโs a lightweight environment that lets you download, run, and chat with LLMs locally; Itโs like VSCode for LLMs. Although if you want to run an LLM on a container (like Docker), that is also an option. The goal of Ollama is to handle the heavy lifting of executing models and managing memory, so you can focus on using the model rather than wiring it from scratch. - Source: dev.to / 12 days ago
Go to https://ollama.com/ and download it for your OS. - Source: dev.to / 30 days ago
If you are on a Mac, give https://recurse.chat/ a try. As simple as download the model and start chatting. Just added the new multimodal support in LLaMA.cpp. - Source: Hacker News / 5 months ago
If anyone on macOS wants to use llama.cpp with ease, check out https://recurse.chat/. Supports importing ChatGPT history & continue chats offline using llama.cpp. Built this so I can use local AI as a daily driver. - Source: Hacker News / 10 months ago
If you are interested in no config setup for local LLM, give https://recurse.chat/ a try (I'm the dev). The app is designed to be self-contained and as simple as you can imagine. - Source: Hacker News / 11 months ago
Shameless plug: If you are on a Mac, check out RecurseChat: https://recurse.chat/ A few outstanding features:. - Source: Hacker News / 11 months ago
Give https://recurse.chat/ a try - I'm the developer. One particular advantage over alternative apps is importing ChatGPT history and speed of the app, including full-text search. You can import your thousands of conversations and every chat loads instantly. We also recently added floating chat feature. Check out the demo: https://x.com/recursechat/status/1846309980091330815. - Source: Hacker News / 11 months ago
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