ivo's home

DigUp is an open-source desktop app for macOS, Windows, and Linux that indexes local files for semantic search using Google DeepMind's EmbeddingGemma 2 model. It runs entirely on your hardware, processing text, images, audio, and video into a 740M parameter embedding space so you can query files using natural language. The initial run downloads an 865 MB model and indexes your selected directories locally without sending data to external servers.

It is worth installing if you regularly hunt through unindexed mixed-media directories and want something faster than grep or Spotlight for conceptual queries. The catch is that it requires a modern machine to index smoothly and relies on external players to jump directly to specific timestamps in media files. Skip it if you only need exact-match text searches or refuse to run local ML models in the background.

more: https://github.com/ARahim3/DigUp

my other side: ivo.blogspot.com

CodeAgent is an open-source, terminal-based AI programming assistant written in Python 3.11 with extensive Chinese commenting. It handles natural language instructions by reading files, executing commands, searching codebases, and running multi-model loops via OpenAI-compatible or Anthropic endpoints. The tool features a built-in session store, hierarchical context compression, permission panels, and a self-learning skill system stored locally under ~/.codeAgent.

It is worth checking out if you want a local, hackable alternative to proprietary CLI tools with built-in DeepSeek support and clear module architecture. However, Windows is the primary development target with Linux support trailing, while macOS remains largely unverified. Skip this if you need out-of-the-box cross-platform stability without configuring sandbox environments or API keys manually.

more: https://github.com/Harvil1/codeAgent

my other side: ivo.blogspot.com

StartLux-Decision provides open models in 4B, 9B, and 27B parameter sizes that output typed probabilities for structured questions rather than open text. The repository includes an HTTP server and inference engine supporting GGUF and MLX formats, with variants that conditionally generate reasoning traces when confidence falls below 0.6. It handles text, JSON, and image inputs in a single forward pass, making it suitable for programmatic control tasks like game bots and video frame analysis.

If you need structured classification or control loops without parsing free-form LLM output, it is worth testing locally via the provided MLX or GGUF weights. However, the specialized API and decision-focused architecture mean it will not replace a general-purpose chat model or handle open-ended text generation. Skip it unless you are actively building deterministic pipelines that require explicit probability scores for discrete options.

more: https://github.com/StartLuxLabs/StartLux-Decision

my other side: ivo.blogspot.com

The @receptron/laya npm package runs Convai Innovations' Laya decision model directly in Node.js and TypeScript via ONNX Runtime without needing Python or PyTorch. It takes a JSON state and typed questions, returning calibrated probabilities for choices, scores, and yes-no statements in a single forward pass taking roughly 140 milliseconds per batch on Apple silicon. The 1.7 GB model weights download automatically on first use, and the TypeScript types match the Python implementation to four decimal places.

It is worth testing if you need structured classification or confidence scoring on text inputs without spinning up an LLM API. The catch is strict input limits: states are truncated at 512 tokens and choice questions top out around 20 options. Skip this if you need generative text or inputs longer than a short support ticket.

more: https://github.com/receptron/laya

my other side: ivo.blogspot.com

Talorys is an open-source personal AI assistant that deploys entirely inside your own Cloudflare account using a single npm command. It packages a chat interface, SQLite-backed durable memory, task management, and scheduled alarms into a private Pages and Worker setup without external servers or databases. It runs on Cloudflare free-tier services using Workers AI and the Agents SDK for streaming responses and tool calling.

If you already use Cloudflare and want a private workspace for tasks and notes without paying for SaaS subscriptions, it takes five minutes to spin up. It is strictly single-user with no multi-tenant features, and relies on Cloudflare's free limits and infrastructure. You will need Node 22 and an active Cloudflare login to complete the initial setup.

more: https://github.com/rociiu/talorys

my other side: ivo.blogspot.com