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	<title>AI Tools &#8211; Firethering</title>
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	<link>https://firethering.com</link>
	<description>Firethering is Your Hub for AI, Open Source and Tech That Actually Matters</description>
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	<title>AI Tools &#8211; Firethering</title>
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	<item>
		<title>Open CoDesign: Open Source AI Design Tool to Turn Prompts into UI, Prototypes &#038; Slides</title>
		<link>https://firethering.com/open-codesign-ai-design-tool-open-source/</link>
					<comments>https://firethering.com/open-codesign-ai-design-tool-open-source/#respond</comments>
		
		<dc:creator><![CDATA[Firethering Team]]></dc:creator>
		<pubDate>Sun, 26 Apr 2026 08:01:23 +0000</pubDate>
				<category><![CDATA[Software]]></category>
		<category><![CDATA[AI Tools]]></category>
		<category><![CDATA[Design Tools]]></category>
		<category><![CDATA[DevTools]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Linux]]></category>
		<category><![CDATA[macOS]]></category>
		<category><![CDATA[Windows]]></category>
		<guid isPermaLink="false">https://firethering.com/?p=6385</guid>

					<description><![CDATA[Open CoDesign is weird in a good way. You write a prompt. Something shows up next to it. Actual stuff you can use or export.

It runs on your laptop. You plug in whatever model you already use, Claude, GPT, Gemini, even Ollama. You can see the agent working, pause it, or just fix one small part instead of starting over. That sounds minor, but it changes how you use it.

It’s not perfect. Some outputs miss. Some feel rough. But when it clicks, you go from blank prompt to something usable in minutes. Probably the easiest way to think about it is a design tool that behaves like a coding companion. Just speeds up the part where you turn an idea into something real.]]></description>
		
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			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>Llamafile: Run AI Models Locally on Your PC with Just One File</title>
		<link>https://firethering.com/llamafile-run-ai-models-locally-one-file/</link>
					<comments>https://firethering.com/llamafile-run-ai-models-locally-one-file/#respond</comments>
		
		<dc:creator><![CDATA[Firethering Team]]></dc:creator>
		<pubDate>Tue, 07 Apr 2026 09:13:21 +0000</pubDate>
				<category><![CDATA[Software]]></category>
		<category><![CDATA[AI Tools]]></category>
		<category><![CDATA[DevTools]]></category>
		<category><![CDATA[AI]]></category>
		<guid isPermaLink="false">https://firethering.com/?p=6115</guid>

					<description><![CDATA[Running a local LLM usually means a Python environment, CUDA drivers, and at least one Stack Overflow tab open before you've even started. llamafile skips all of that. Mozilla.ai packaged the whole runtime like model weights and everything into a single executable. On Windows you rename it to .exe. On Mac or Linux you chmod +x it. That's the setup.]]></description>
		
					<wfw:commentRss>https://firethering.com/llamafile-run-ai-models-locally-one-file/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>Onyx: Open-Source AI Platform for RAG, Agents &#038; LLM Apps</title>
		<link>https://firethering.com/onyx-ai-platform-open-source-llm-agents/</link>
					<comments>https://firethering.com/onyx-ai-platform-open-source-llm-agents/#respond</comments>
		
		<dc:creator><![CDATA[Firethering Team]]></dc:creator>
		<pubDate>Sat, 04 Apr 2026 15:01:50 +0000</pubDate>
				<category><![CDATA[AI Tools]]></category>
		<category><![CDATA[DevTools]]></category>
		<category><![CDATA[Software]]></category>
		<category><![CDATA[AI]]></category>
		<guid isPermaLink="false">https://firethering.com/?p=6025</guid>

					<description><![CDATA[Most LLM tools feel like demos. You ask something, get an answer, and that’s about it.

Onyx feels more like something you’d actually build on. It sits between you and the model and adds the stuff you end up needing anyway. Search, agents, file output, even running code. You can plug in OpenAI, Anthropic, or run your own models with Ollama. Swap things out when you feel like it.

The agents part is what makes it more powerful. You can give them instructions, let them browse the web, generate files, call external tools. It can get heavy if you run the full version. There’s indexing, workers, caching, all that. But if you’re serious about using LLMs beyond basic chat, that’s kind of the point. Lite mode exists if you just want to poke around without setting up a whole system.]]></description>
		
					<wfw:commentRss>https://firethering.com/onyx-ai-platform-open-source-llm-agents/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>Another – Open Source Android Screen Mirror &#038; Controller for Desktop</title>
		<link>https://firethering.com/another-android-screen-mirroring-desktop-app/</link>
					<comments>https://firethering.com/another-android-screen-mirroring-desktop-app/#respond</comments>
		
		<dc:creator><![CDATA[Firethering Team]]></dc:creator>
		<pubDate>Wed, 01 Apr 2026 10:37:39 +0000</pubDate>
				<category><![CDATA[AI Tools]]></category>
		<category><![CDATA[DevTools]]></category>
		<category><![CDATA[Productivity]]></category>
		<category><![CDATA[Software]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Devtools]]></category>
		<guid isPermaLink="false">https://firethering.com/?p=5944</guid>

					<description><![CDATA[Another puts your Android screen directly on your desktop and lets you control it entirely from your keyboard and mouse.

It mirrors in real-time over USB or WiFi, forwards audio, lets you type directly into the device, and records your screen as a .webm file. There's also a macro system — record a sequence of interactions once, replay it whenever you need it. Useful for testing, demos, or anything repetitive.]]></description>
		
					<wfw:commentRss>https://firethering.com/another-android-screen-mirroring-desktop-app/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>Modly: Open Source Local AI Image-to-3D Model Generator</title>
		<link>https://firethering.com/modly-local-ai-image-to-3d-model-generator/</link>
					<comments>https://firethering.com/modly-local-ai-image-to-3d-model-generator/#respond</comments>
		
		<dc:creator><![CDATA[Firethering Team]]></dc:creator>
		<pubDate>Wed, 25 Mar 2026 09:14:44 +0000</pubDate>
				<category><![CDATA[3D Tools]]></category>
		<category><![CDATA[AI Tools]]></category>
		<category><![CDATA[Software]]></category>
		<category><![CDATA[AI]]></category>
		<guid isPermaLink="false">https://firethering.com/?p=5861</guid>

					<description><![CDATA[You've got a photo and you want a 3D model. Normally that means paying per generation on some cloud service that uploads your image to a server you'll never see. Modly skips all of that.

It's a desktop app that converts any photo into a fully usable 3D mesh, right on your own GPU. No files leaving your machine. Drop an image in, the AI handles background removal automatically, reconstructs the geometry, and hands you a model ready to open in Blender, Unity, Unreal, or whatever you're working in.]]></description>
		
					<wfw:commentRss>https://firethering.com/modly-local-ai-image-to-3d-model-generator/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>Lore: Local AI Note Manager with Smart Recall &#038; Private Second Memory</title>
		<link>https://firethering.com/lore-local-ai-note-manager/</link>
					<comments>https://firethering.com/lore-local-ai-note-manager/#respond</comments>
		
		<dc:creator><![CDATA[Firethering Team]]></dc:creator>
		<pubDate>Mon, 23 Mar 2026 20:12:14 +0000</pubDate>
				<category><![CDATA[AI Tools]]></category>
		<category><![CDATA[Productivity]]></category>
		<category><![CDATA[Software]]></category>
		<category><![CDATA[AI]]></category>
		<guid isPermaLink="false">https://firethering.com/?p=5835</guid>

					<description><![CDATA[Lore is a lightweight, privacy-first desktop app that lives quietly in your system tray and gives you a pop-up chat interface to capture thoughts the moment they happen. Powered entirely by a local LLM through Ollama and a local vector database through LanceDB, it stores, understands, and retrieves your information without sending a single byte to the cloud. 

You can store anything like quick notes, decision summaries, URLs, code snippets, bug reproduction steps, todo items and retrieve it all later by simply describing what you need in plain language. Lore classifies your input automatically and uses a RAG pipeline to pull the most relevant context before generating an answer.

If you're a developer, a knowledge worker, or someone who just wants a smarter way to remember things, Lore is worth a try.]]></description>
		
					<wfw:commentRss>https://firethering.com/lore-local-ai-note-manager/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>ClaudePrism: AI Scientific Writing Workspace with LaTeX &#038; Python</title>
		<link>https://firethering.com/claudeprism-offline-ai-writing-workspace/</link>
					<comments>https://firethering.com/claudeprism-offline-ai-writing-workspace/#respond</comments>
		
		<dc:creator><![CDATA[Firethering Team]]></dc:creator>
		<pubDate>Fri, 20 Mar 2026 08:31:40 +0000</pubDate>
				<category><![CDATA[AI Tools]]></category>
		<category><![CDATA[Productivity]]></category>
		<category><![CDATA[Software]]></category>
		<category><![CDATA[AI]]></category>
		<guid isPermaLink="false">https://firethering.com/?p=5782</guid>

					<description><![CDATA[ClaudePrism is an offline-first scientific writing workspace that combines LaTeX, Python, and AI powered assistance into a single desktop application.

It is built for researchers, students, and technical writers, it allows you to write, compile, and analyze documents locally while integrating advanced AI capabilities powered by Claude models.

ClaudePrism keeps your files stored and processed on your own device which gives you full control over your work while still enabling AI features when needed.]]></description>
		
					<wfw:commentRss>https://firethering.com/claudeprism-offline-ai-writing-workspace/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>DBeaver: Universal Database Tool and SQL Client</title>
		<link>https://firethering.com/dbeaver-open-source-database-tool/</link>
					<comments>https://firethering.com/dbeaver-open-source-database-tool/#respond</comments>
		
		<dc:creator><![CDATA[Firethering Team]]></dc:creator>
		<pubDate>Wed, 18 Mar 2026 12:38:29 +0000</pubDate>
				<category><![CDATA[AI Tools]]></category>
		<category><![CDATA[DevTools]]></category>
		<category><![CDATA[Software]]></category>
		<category><![CDATA[AI]]></category>
		<guid isPermaLink="false">https://firethering.com/?p=5731</guid>

					<description><![CDATA[DBeaver is a powerful, open-source database management tool designed for developers, database administrators, analysts, and SQL programmers.

It provides a unified interface to work with almost any database, whether it's SQL or NoSQL, local or cloud-based. With support for 100+ database drivers out of the box and compatibility with any database using JDBC or ODBC, DBeaver is one of the most versatile database tools available today.

From writing complex SQL queries to visualizing database structures with ER diagrams, DBeaver brings everything into a single, intuitive desktop application]]></description>
		
					<wfw:commentRss>https://firethering.com/dbeaver-open-source-database-tool/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>Emdash: Open-Source Agentic IDE to Run Multiple AI Coding Agents in Parallel</title>
		<link>https://firethering.com/emdash-ai-coding-agents/</link>
					<comments>https://firethering.com/emdash-ai-coding-agents/#respond</comments>
		
		<dc:creator><![CDATA[Firethering Team]]></dc:creator>
		<pubDate>Mon, 09 Mar 2026 11:49:23 +0000</pubDate>
				<category><![CDATA[AI Tools]]></category>
		<category><![CDATA[DevTools]]></category>
		<category><![CDATA[Software]]></category>
		<category><![CDATA[AI]]></category>
		<guid isPermaLink="false">https://firethering.com/?p=5515</guid>

					<description><![CDATA[Emdash is an open-source agentic development environment (ADE) designed for developers who want to orchestrate multiple coding agents from a single dashboard.

It lets you run several agents in parallel. Each agent operates inside its own Git worktree, meaning every task stays isolated and easy to review.

Think of it as a control center for AI coding agents. You can assign tasks, monitor progress, compare outputs, review diffs, and ship changes without constantly switching tools.

Backed by Y Combinator, the project has already crossed 60K+ downloads, and its goal is simple, to give developers an environment where multiple AI coding agents can work together.]]></description>
		
					<wfw:commentRss>https://firethering.com/emdash-ai-coding-agents/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>LTX-Desktop: AI Video Generator from Text, Image &#038; Audio</title>
		<link>https://firethering.com/ltx-desktop-ai-video-generator/</link>
					<comments>https://firethering.com/ltx-desktop-ai-video-generator/#respond</comments>
		
		<dc:creator><![CDATA[Firethering Team]]></dc:creator>
		<pubDate>Fri, 06 Mar 2026 09:35:37 +0000</pubDate>
				<category><![CDATA[AI Tools]]></category>
		<category><![CDATA[Software]]></category>
		<category><![CDATA[Video Editors]]></category>
		<category><![CDATA[AI]]></category>
		<guid isPermaLink="false">https://firethering.com/?p=5423</guid>

					<description><![CDATA[LTX Desktop is an open-source desktop application designed to generate and edit videos using LTX generative video models. It provides a modern editor interface where users can create videos from prompts, images, or audio while managing projects directly inside the app.

On systems with powerful NVIDIA GPUs, the software can download model weights and run video generation locally. On unsupported hardware or macOS, the application switches to an API-powered mode where generation happens through the LTX cloud service.

The project also includes a timeline-based video editor, retake functionality for regenerating segments, and a flexible architecture combining a React interface, Electron desktop shell, and Python backend for GPU inference.]]></description>
		
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			<slash:comments>0</slash:comments>
		
		
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