#python #cactus #gemini #gemma #llm #on_device_ai

Needle 2 is a very small tool-calling AI model that can run on low memory, work offline, and return structured results like JSON instead of free text. It helps you build apps that call tools, extract data, and fine-tune models more safely and easily, even on devices with limited RAM.

https://github.com/cactus-compute/needle

#rust

Switchyard is a Rust proxy and library for LLM traffic that lets coding agents keep using their normal OpenAI or Anthropic API while requests are routed to different model backends and translated as needed. It can also split traffic for testing, measure latency and errors, and use custom routing rules, which helps you run or compare models more easily without changing your agent setup.

https://github.com/NVIDIA-NeMo/Switchyard

#swift #ai #dictation #ios #llama_cpp #macos #swift

FluidVoice is a free, open source macOS app that turns speech into text and can also control your Mac by voice. It works mostly on your Mac, so your voice and text stay private unless you choose cloud AI, and it supports fast dictation, live text preview, and optional smart formatting.

https://github.com/altic-dev/FluidVoice

#typescript #3d #ai_local #ai_tools #desktop_app #modly #open_source #self_hosted

Modly is a desktop app for Windows, Linux, and Apple Silicon Mac that turns a photo into a 3D model using open source AI on your own GPU. It supports extra model and process extensions, lets you run workflows, and includes a CLI for automation. This helps you make 3D meshes locally, with more privacy, faster control, and no need for cloud services.

https://github.com/lightningpixel/modly

#typescript #agent #agent_harness #agent_os #agentic #ai #ai_agent #ai_agents #artificial_intelligence #claude_code #codex #electron #holaboss #holaos #llm #mcp #memory #model_context_protocol #runtime #typescript #workspace

holaOS is a local-first desktop workspace that lets you run agents like Claude Code, Codex, or its built-in agent together with your tools, files, apps, and shared memory. It supports macOS, Windows, and Linux, includes built-in models or your own keys, and can help you get work done with real browser control, app automation, and ready-made files. This can save you time because one setup works across agents, keeps your context, and lets you produce useful results without switching systems.

https://github.com/holaboss-ai/holaOS

#other

This page is a guide list for using DeepSeek inside many AI tools and coding assistants, such as terminal apps, editor plugins, and desktop clients. It shows that you can set up DeepSeek in a few minutes, which helps you start coding or chatting with DeepSeek models faster and with less setup work.

https://github.com/deepseek-ai/awesome-deepseek-agent

#typescript #effect #framework #nodejs #plugin

Meta-Framework of Spatiotemporal Composability

https://github.com/cordiverse/cordis

#python #cli #consumer_gpu #dpo #fine_tuning #gguf #huggingface #llm #llmops #local_ai #local_llm #lora #low_vram #machine_learning #ollama #peft #python #pytorch #qlora #sft #transformers

Soup is a tool that helps you fine-tune and post-train large language models with one command, using one config file and little setup. It can work on a local GPU, even a 4 GB laptop GPU for an 8B model with layer streaming, so you can train without SSH or cloud hassle. This saves time, reduces setup pain, and makes model training easier to start and manage.

https://github.com/MakazhanAlpamys/Soup

#dart #android #exif #flutter #gallery #geotiff #gpx #metadata #metadata_explorer #motion_photos #mpf #slow_motion #svg #tiff #topojson #xmp

Aves is an Android gallery app that also shows photo details and metadata. It helps you browse, search, and map media files like JPEGs, MP4s, TIFFs, SVGs, panoramas, 360° videos, and more, so you can find and understand your pictures and videos faster.

https://github.com/deckerst/aves

#rust

ai-memory helps coding agents keep working without forgetting the plan, decisions, or failed tries between sessions. It saves notes in a simple markdown wiki, so the next agent can pick up the same task with a clear handoff. This saves time, avoids repeating setup, and makes it easier to continue work across different tools or days.

https://github.com/akitaonrails/ai-memory

#typescript

This is a starter project for a GenLayer football betting app. It includes a smart contract, fast local tests, full integration tests, contract checks, a Next.js frontend, and deploy tools. You can use it to build, test, and launch faster with fewer mistakes, because you can catch problems early and verify the app works before deployment.

https://github.com/genlayerlabs/genlayer-project-boilerplate

#plsql

This is an open-source radar project called AERIS-10. It is a low-cost 10.5 GHz phased array radar with two versions: one for 3 km and one for 20 km, using open hardware, FPGA processing, GPS/IMU support, and a Python control app. It helps you learn, build, test, or improve real radar systems with ready design files and code.

https://github.com/NawfalMotii79/PLFM_RADAR

#typescript #agents #claude_code #free #harness #harness_engineering #memory

This is a desktop app that turns coding CLIs into a team of agents that work together on your computer, with your own clone acting as the boss. It helps you by letting many agents share memory, send messages, and handle tasks while you can watch, guide, and approve important actions, so work can keep moving even when you are away.

https://github.com/chaitanyagiri/munder-difflin