Jan.ai
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GitHubBased on our record, GitHub seems to be a lot more popular than Jan.ai. While we know about 2463 links to GitHub, we've tracked only 13 mentions of Jan.ai. 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.
Jan is the most polished open-source AI client available. Built with Tauri, it's lighter than Electron apps and has a genuinely clean, minimal design โ the kind where you notice the absence of clutter rather than the presence of features. It runs local models through llama.cpp and MLX, has native MCP support, an extension system, and an OpenAI-compatible API server at localhost:1337 so you can point other tools at... - Source: dev.to / 22 days ago
Jan takes a different approach, prioritizing user privacy and simplicity over advanced features with a 100% offline design that includes no telemetry and no cloud dependencies. - Source: dev.to / 7 months ago
I really like Jan, especially the organization's principles: https://jan.ai/ Main deal breaker for me when I tried it was I couldn't talk to multiple models at once, even if they were remote models on OpenRouter. If I ask a question in one chat, then switch to another chat and ask a question, it will block until the first one is done. Also Tauri apps feel pretty clunky on Linux for me. - Source: Hacker News / 11 months ago
I believe there's a couple of similar apps like https://msty.app and https://jan.ai that do the same and allow you to plug in your own API keys. - Source: Hacker News / 12 months ago
Head over to jan.ai and grab the installer for your OS (Windows, macOS, or Linux). Itโs a single binaryโno setup scripts, containers, or dependencies to wrestle with. - Source: dev.to / about 1 year ago
The core of the ecosystem is the official open-source server hosted on GitHub. It is written in TypeScript and implements the full MCP specification. - Source: dev.to / about 21 hours ago
This is why the gate needs a trace it can trust, and why AgentLens is the other half of this workflow. agent-eval scores and gates the output; AgentLens captures the trace of how the agent got there โ every model call and tool step, the resolved inputs (not the templated ones), the raw outputs. That trace is exactly the unforgeable, agent-didn't-author substrate that Tier 1+2 need to score against. Without it,... - Source: dev.to / 1 day ago
## Tell Git to start tracking your project Git init ## Take a snapshot of all your current files Git add . ## Save this snapshot with a description Git commit -m "Initial commit from AI tool" ## Connect your local project to GitHub ## Get repository URL from your GitHub page ## it looks like https://github.com/your-name/your-repo.git Git remote add origin PASTE_YOUR_URL_HERE ## Upload your code to GitHub Git... - Source: dev.to / 11 days ago
Conclusion Next time Git insists a private repository doesn't exist, skip editing your config file and head straight to the Windows Credential Manager. Wiping out the stale git:https://github.com entry forces a clean handshake, getting you back to coding in less than a minute. - Source: dev.to / 11 days ago
Gitea is where all private repositories live: infra configs, personal projects, anything I don't want on a third-party server. Public projects still go to GitHub because that's where the audience is, but a number of those GitHub repositories are mirrored back to Gitea as a local backup. The split is simple: Gitea for control and resilience, GitHub for reach. - Source: dev.to / 12 days ago
ChatGPT - ChatGPT is a powerful, open-source language model.
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Ollama - The easiest way to run large language models locally
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