<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>DAIODA — Daybreak</title><description>New genuinely open-source AI projects, license-verified and brought ashore each week.</description><link>https://www.daioda.io/</link><language>en-us</language><item><title>NVIDIA Cosmos 3 — The physical-AI omnimodel that made license nerds sit up</title><link>https://www.daioda.io/projects/cosmos-3/</link><guid isPermaLink="true">https://www.daioda.io/projects/cosmos-3/</guid><description>A unified world model for physical AI: video generation, physical reasoning, and action generation in one architecture. Ships as Nano (8B reasoner + 8B generator) for efficient inference and Super (32B + 32B) for large-scale synthetic data, with a cookbook, training framework, and post-training scripts across the Cosmos ecosystem. · License: OpenMDW-1.1 (umbrella repo); Apache-2.0 (cosmos-predict/transfer repos) (partial). When the biggest chipmaker on earth picks a brand-new license for its crown-jewel models, the license is the news. This one reads better than almost any corporate model license before it.</description><pubDate>Mon, 20 Jul 2026 12:00:00 GMT</pubDate><category>Robotics &amp; Embodied AI</category></item><item><title>Hermes Agent — The agent that writes down what it learns</title><link>https://www.daioda.io/projects/hermes-agent/</link><guid isPermaLink="true">https://www.daioda.io/projects/hermes-agent/</guid><description>Nous Research&apos;s self-improving, model-agnostic agent runtime. After a session it evaluates what worked and distills it into reusable skill files, layered over a four-part memory system (session, persistent, skills, user modeling), six execution backends from local to Docker to Modal, and frontends spanning CLI, Telegram, Discord, Slack, WhatsApp, and Signal. · License: MIT (open). OpenClaw proved everyone wants a personal agent. Hermes is the bet that the one that remembers you wins.</description><pubDate>Mon, 20 Jul 2026 12:00:00 GMT</pubDate><category>Agents &amp; Coding</category></item><item><title>Qwen3-Coder-Next — Frontier-adjacent coding from 3B active parameters</title><link>https://www.daioda.io/projects/qwen3-coder-next/</link><guid isPermaLink="true">https://www.daioda.io/projects/qwen3-coder-next/</guid><description>Alibaba&apos;s coding MoE: 80B total parameters with only 3B active, a hybrid Gated DeltaNet + gated attention layout across 512 experts, and 262K context natively. Scores 70.6% on SWE-Bench Verified and 44.3% on SWE-Bench Pro — territory that recently demanded 10–20x the active compute. · License: Apache-2.0 (declared; see notes) (open). Every few months the compute floor for real coding agents drops through another story. This is the current basement.</description><pubDate>Mon, 20 Jul 2026 12:00:00 GMT</pubDate><category>Models &amp; Weights</category></item><item><title>AI Job Search — A job hunt, run as an agent workflow</title><link>https://www.daioda.io/projects/ai-job-search/</link><guid isPermaLink="true">https://www.daioda.io/projects/ai-job-search/</guid><description>A fork-and-fill framework built on Claude Code: populate a profile, and structured workflows search job portals, score fit, tailor LaTeX CVs and cover letters, prep interviews, and run skill-gap analysis. · License: MIT (open). Less interesting as a job tool than as a genre: personal agent workflows, versioned in git, forked like dotfiles.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Agents &amp; Coding</category></item><item><title>andrej-karpathy-skills — One markdown file, six figures of stars</title><link>https://www.daioda.io/projects/andrej-karpathy-skills/</link><guid isPermaLink="true">https://www.daioda.io/projects/andrej-karpathy-skills/</guid><description>A single CLAUDE.md distilling Andrej Karpathy&apos;s public observations on LLM coding failure modes into four rules — think before coding, simplicity first, surgical changes, goal-driven execution — installable as a plugin or dropped into any project. · License: MIT (open). Included less as a recommendation than as an exhibit: the moment prompt files started accumulating stars like frameworks.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Agents &amp; Coding</category></item><item><title>Aurora — A foundation model for the whole Earth system</title><link>https://www.daioda.io/projects/aurora/</link><guid isPermaLink="true">https://www.daioda.io/projects/aurora/</guid><description>Microsoft Research&apos;s foundation model for the Earth system, pretrained on large atmospheric datasets and fine-tuned into specialized versions for weather, air pollution, and ocean-wave forecasting. Aurora 1.5 extends it with more variables and hourly forecasts. · License: MIT (partial). AI weather models are quietly rewriting a field that ran on supercomputers for fifty years. This is one of the few you can actually pip install.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Science &amp; Data</category></item><item><title>Boltz — AlphaFold3-class prediction, MIT-licensed</title><link>https://www.daioda.io/projects/boltz/</link><guid isPermaLink="true">https://www.daioda.io/projects/boltz/</guid><description>A family of open biomolecular interaction models. Boltz-1 was the first fully open-source structure predictor to approach AlphaFold3 accuracy; Boltz-2 jointly predicts complex structure and binding affinity, claimed to be the first deep-learning model approaching physics-based FEP accuracy while running roughly 1000x faster. · License: MIT (open). The most consequential open release on this list for people who don&apos;t care about AI at all — they care about drugs, and this changes their cost curve.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Science &amp; Data</category></item><item><title>Bumblebee — Perplexity&apos;s answer to the supply-chain attack wave</title><link>https://www.daioda.io/projects/bumblebee/</link><guid isPermaLink="true">https://www.daioda.io/projects/bumblebee/</guid><description>A read-only scanner for developer machines that inventories lockfiles, installed packages across npm, PyPI, Go, RubyGems, and Composer, browser and editor extensions, and MCP server configurations — so when an advisory names a compromised package, you can answer &apos;which machines have it?&apos; immediately. · License: Apache-2.0 (open). The MCP boom created a new attack surface faster than anyone built defenses. This is the defense showing up.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Agents &amp; Coding</category></item><item><title>Chatterbox — ElevenLabs-tier speech, MIT-licensed</title><link>https://www.daioda.io/projects/chatterbox/</link><guid isPermaLink="true">https://www.daioda.io/projects/chatterbox/</guid><description>A production-grade open TTS family: a 500M English model with unique emotion-exaggeration control, a 23-language multilingual variant with zero-shot voice cloning, and a 350M low-latency Turbo model with paralinguistic tags like [laugh]. Consistently benchmarks at or above closed competitors in blind listening tests. · License: MIT (open). The open-weights voice race ended faster than anyone expected. This is what winning it looks like.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Audio &amp; Voice</category></item><item><title>Codebase Memory MCP — A knowledge graph of your codebase, in one static binary</title><link>https://www.daioda.io/projects/codebase-memory-mcp/</link><guid isPermaLink="true">https://www.daioda.io/projects/codebase-memory-mcp/</guid><description>An MCP server that indexes a repository into a persistent knowledge graph: tree-sitter parsing across 158 languages, deeper type resolution for 12, sub-millisecond graph queries, dead-code detection, and architecture analysis — shipped as a single zero-dependency binary. · License: MIT (open). If your agent burns most of its budget re-reading files, this is the cure — and its release engineering should embarrass much bigger projects.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Agents &amp; Coding</category></item><item><title>Colibri — A 744B-parameter model on a 25GB laptop, in pure C</title><link>https://www.daioda.io/projects/colibri/</link><guid isPermaLink="true">https://www.daioda.io/projects/colibri/</guid><description>A pure-C inference engine that runs GLM-5.2 — a 744-billion-parameter mixture-of-experts model — on roughly 25GB of RAM by treating VRAM, RAM, and disk as one memory hierarchy and streaming expert weights from storage on demand. Implements MLA attention, speculative decoding, grammar-forced output, and optional CUDA/Metal. · License: Apache-2.0 (open). Nobody needs this. That&apos;s not the point. The point is that the wall between consumer and datacenter hardware is made of engineering, not physics.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Local &amp; Private AI</category></item><item><title>ComfyUI — The connective tissue of open generative media</title><link>https://www.daioda.io/projects/comfyui/</link><guid isPermaLink="true">https://www.daioda.io/projects/comfyui/</guid><description>A node-graph GUI, API, and backend for running generative models locally. In 2026 it is the universal front end for open media: image (FLUX.2, Z-Image, Qwen-Image), video (Wan 2.2, LTX-2), audio, and 3D, composed into reusable visual workflows shareable as JSON. · License: GPL-3.0 (open). Learn the graph once and every new model becomes a weekend, not a migration.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Generative Media</category></item><item><title>DeepSeek-V3 — Frontier-class weights, with an asterisk worth reading</title><link>https://www.daioda.io/projects/deepseek-v3/</link><guid isPermaLink="true">https://www.daioda.io/projects/deepseek-v3/</guid><description>A 671-billion-parameter mixture-of-experts model (37B active per token) with multi-head latent attention and multi-token prediction — one of the strongest open-weight frontier-class models, distributed with paper and inference guidance. · License: MIT (partial). Historically important and technically superb — and the exact reason this site prints weights licenses next to code licenses.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Models &amp; Weights</category></item><item><title>exo — Your spare Macs, united into one AI cluster</title><link>https://www.daioda.io/projects/exo/</link><guid isPermaLink="true">https://www.daioda.io/projects/exo/</guid><description>Auto-discovers the machines on your network, shards a model across them with tensor parallelism, and — as of the 2026 relaunch — supports RDMA over Thunderbolt 5 on Apple Silicon for near-datacenter interconnect speeds. Exposes OpenAI-, Claude-, and Ollama-compatible APIs. · License: Apache-2.0 (open). Datacenter tricks arriving in living rooms. The gap between &apos;my hardware&apos; and &apos;their hardware&apos; keeps shrinking.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Local &amp; Private AI</category></item><item><title>Firecrawl — The web, translated for machines</title><link>https://www.daioda.io/projects/firecrawl/</link><guid isPermaLink="true">https://www.daioda.io/projects/firecrawl/</guid><description>An engine to search, scrape, crawl, and interact with the web for AI use: converts URLs — including JavaScript-heavy pages — into clean markdown or structured JSON, handles site crawling and batch scraping, and offers an autonomous agent mode for data gathering. · License: AGPL-3.0 (core); MIT SDKs (open). Every agent needs eyes on the web; most teams stopped building their own the day this got good.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Retrieval &amp; Knowledge</category></item><item><title>FLUX.2 — The FLUX lineage, now partly Apache</title><link>https://www.daioda.io/projects/flux2/</link><guid isPermaLink="true">https://www.daioda.io/projects/flux2/</guid><description>Black Forest Labs&apos; successor to FLUX.1, covering text-to-image plus single- and multi-reference editing in one architecture. The distilled klein 4B runs on ~8GB VRAM under Apache-2.0, while the 32B dev model sets the open-weights quality bar under a non-commercial license. · License: Apache-2.0 (partial). A family portrait of the open-weights business model: give away the small one, license the big one. Read the label on each box.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Generative Media</category></item><item><title>Gemini CLI — Google&apos;s open terminal agent with a generous free tier</title><link>https://www.daioda.io/projects/gemini-cli/</link><guid isPermaLink="true">https://www.daioda.io/projects/gemini-cli/</guid><description>Brings Gemini into the shell: query and edit large codebases, generate apps from PDFs or sketches, and automate ops tasks. Ships built-in file, shell, and web tools, MCP server support, and GitHub workflow integration. · License: Apache-2.0 (open). The cleanest open-source counterpoint to proprietary coding agents, and the easiest way to feel what agentic coding is without spending a cent.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Agents &amp; Coding</category></item><item><title>Grok Build — xAI&apos;s coding agent CLI, Apache-licensed and Rust-fast</title><link>https://www.daioda.io/projects/grok-build/</link><guid isPermaLink="true">https://www.daioda.io/projects/grok-build/</guid><description>A fullscreen, mouse-interactive terminal harness (written in Rust) that understands a codebase, edits files, runs shell commands, searches the web, and manages long-running tasks — interactively or headless. Supports the Agent Client Protocol. · License: Apache-2.0 (open). Open source as a distribution strategy rather than a community project — worth knowing the difference, and still one of the most interesting Rust TUIs shipping today.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Agents &amp; Coding</category></item><item><title>Hallmark — Taste, encoded as an agent skill</title><link>https://www.daioda.io/projects/hallmark/</link><guid isPermaLink="true">https://www.daioda.io/projects/hallmark/</guid><description>A design skill for Claude Code, Cursor, and Codex that pushes back on generic AI output: 22 themes across four genres, four verbs (build, audit, redesign, study), a 65-gate quality checklist, and per-project memory to stop repetitive design choices. Pure HTML/CSS/JS, no build step. · License: MIT (open). The smallest project in this catalog and one of the most provocative: a bet that design judgment can be versioned.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Agents &amp; Coding</category></item><item><title>HeartMuLa — The Stable Diffusion moment for music</title><link>https://www.daioda.io/projects/heartmula/</link><guid isPermaLink="true">https://www.daioda.io/projects/heartmula/</guid><description>A family of open music foundation models: a multilingual lyrics-and-tags-conditioned song generator (3B open, 7B internal), the HeartCodec 12.5Hz music codec, a lyrics transcriber, and a CLAP-style audio-text aligner. Generates full songs with vocals at roughly real-time speed. · License: Apache-2.0 (open). Watch what indie musicians do with this in a year. Open weights change who gets to experiment.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Audio &amp; Voice</category></item><item><title>Jan — The open answer to LM Studio</title><link>https://www.daioda.io/projects/jan/</link><guid isPermaLink="true">https://www.daioda.io/projects/jan/</guid><description>A desktop ChatGPT alternative that runs entirely offline: a polished chat UI, a local model manager built on llama.cpp, assistants, MCP tool support, and an OpenAI-compatible local API server — with optional cloud model connections when you want them. · License: Apache-2.0 (open). The app to install for someone who wants ChatGPT without the account, the cloud, or the subscription.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Local &amp; Private AI</category></item><item><title>Khoj — A self-hosted second brain</title><link>https://www.daioda.io/projects/khoj/</link><guid isPermaLink="true">https://www.daioda.io/projects/khoj/</guid><description>An AI &apos;second brain&apos; that indexes your personal corpus — PDFs, Markdown, org-mode, Notion, Word docs — for semantic search and chat. Custom agents with personas and tools, scheduled automations, and clients for browser, Obsidian, Emacs, desktop, and WhatsApp, with local LLMs for zero-cloud operation. · License: AGPL-3.0 (open). The &apos;personal AI&apos; most products only promise: your data, your machine, your rules — and it actually ships.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Experimental &amp; Unusual</category></item><item><title>Kokoro — 82 million parameters that sound like a thousand times more</title><link>https://www.daioda.io/projects/kokoro/</link><guid isPermaLink="true">https://www.daioda.io/projects/kokoro/</guid><description>A text-to-speech model that punches absurdly above its weight: natural speech in 9 languages with multiple voices, voice blending, and speed control — small enough to run in real time on a CPU, a phone, or a browser tab. · License: Apache-2.0 (open). Proof that &apos;small and finished&apos; is a feature. Some models are infrastructure; this one is a brick you build with.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Audio &amp; Voice</category></item><item><title>Krita AI Diffusion — AI as a brush, not a slot machine</title><link>https://www.daioda.io/projects/krita-ai-diffusion/</link><guid isPermaLink="true">https://www.daioda.io/projects/krita-ai-diffusion/</guid><description>A plugin that embeds generative AI into a real digital-painting workflow: selection-based inpainting, live painting where the AI reinterprets your canvas as you draw, ControlNet guidance from scribbles and poses, regional prompts via layers, and 4K upscaling — all on a local ComfyUI backend. · License: GPL-3.0 (open). A preview of how creative software absorbs these models: not as a button that makes art, but as another tool that listens.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Generative Media</category></item><item><title>LangChain — The agent framework that outlived the hype cycle</title><link>https://www.daioda.io/projects/langchain/</link><guid isPermaLink="true">https://www.daioda.io/projects/langchain/</guid><description>The original LLM application framework, now consolidated around durable agent runtimes: abstractions for tools, retrieval, memory, and multi-step agents across every major model provider, in Python and JavaScript. · License: MIT (open). Not the newest thing in the room anymore — which is exactly why it&apos;s safe to build on.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Agents &amp; Coding</category></item><item><title>Langflow — Drag-and-drop agent building, genuinely MIT</title><link>https://www.daioda.io/projects/langflow/</link><guid isPermaLink="true">https://www.daioda.io/projects/langflow/</guid><description>A visual canvas for composing LLMs, vector stores, tools, and APIs into agents and workflows, each servable as an API. Python-extensible, with MCP support on both the client and server side. · License: MIT (open). The visual builder to reach for when the license fine print on the alternatives gives you pause.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Agents &amp; Coding</category></item><item><title>LeRobot — Robot learning, democratized</title><link>https://www.daioda.io/projects/lerobot/</link><guid isPermaLink="true">https://www.daioda.io/projects/lerobot/</guid><description>Hugging Face&apos;s end-to-end PyTorch library for real-world robotics: standardized datasets, hardware interfaces, and imitation- and reinforcement-learning policies for physical robots. Bundles vision-language-action models and a hardware-agnostic interface for teleoperation, data collection, training, and deployment. · License: Apache-2.0 (open). The Hugging Face playbook applied to atoms: shared datasets, shared weights, shared format. Robotics needed exactly this.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Robotics &amp; Embodied AI</category></item><item><title>LightRAG — GraphRAG without the GraphRAG bill</title><link>https://www.daioda.io/projects/lightrag/</link><guid isPermaLink="true">https://www.daioda.io/projects/lightrag/</guid><description>A graph-augmented RAG framework from HKU&apos;s data-science lab: extracts entity-relationship knowledge graphs from documents and combines dual-level retrieval with vector search. Ships as a Python library plus a server with an interactive graph visualizer, supporting many storage backends and LLM providers. · License: MIT (open). The version of graph-RAG you can actually afford to run on your whole corpus — which is the only version that matters.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Retrieval &amp; Knowledge</category></item><item><title>llamafile — A whole chatbot in one portable file</title><link>https://www.daioda.io/projects/llamafile/</link><guid isPermaLink="true">https://www.daioda.io/projects/llamafile/</guid><description>Packages an LLM&apos;s weights and the llama.cpp engine into a single cross-platform executable using Cosmopolitan Libc. One downloaded file runs the same model on macOS, Linux, Windows, and the BSDs — no install, no runtime, no dependencies. A sibling, whisperfile, does the same for speech-to-text. · License: Apache-2.0 (open). Fifty years from now, when someone wants to run 2020s AI, this is the format that will still boot.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Local &amp; Private AI</category></item><item><title>LTX-2 — Open video that comes with its own soundtrack</title><link>https://www.daioda.io/projects/ltx-2/</link><guid isPermaLink="true">https://www.daioda.io/projects/ltx-2/</guid><description>A DiT-based audio-video model — the first open-weights system generating synchronized sound and picture together, up to 4K at 50fps. The 22B LTX-2.3 (with a fast distilled variant) covers text-to-video, image-to-video, interpolation, camera-control LoRAs, and ships an official LoRA trainer. · License: Apache-2.0 (partial). Sound changes everything about generated video — silence was the uncanny part. First open model to figure that out.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Generative Media</category></item><item><title>marimo — The notebook that fixes notebooks</title><link>https://www.daioda.io/projects/marimo/</link><guid isPermaLink="true">https://www.daioda.io/projects/marimo/</guid><description>A reactive Python notebook stored as pure .py files. Cells form a dataflow graph, so a change automatically re-runs everything that depends on it — no hidden state. Notebooks run as scripts, deploy as apps, query with SQL, and version cleanly in git, with an AI-native editor built in. · License: Apache-2.0 (open). Everyone complains about notebook reproducibility and then opens Jupyter anyway. This is the one worth switching for.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Science &amp; Data</category></item><item><title>MatterGen — Generative design for new materials</title><link>https://www.daioda.io/projects/mattergen/</link><guid isPermaLink="true">https://www.daioda.io/projects/mattergen/</guid><description>Microsoft&apos;s generative diffusion model for inorganic materials across the periodic table. It proposes novel stable crystal structures and can be fine-tuned to steer generation toward property constraints — band gap, bulk modulus, magnetic density, or target chemistry. · License: MIT (open). Generative AI pointed at the periodic table instead of the timeline. The quiet, world-changing corner of the field.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Science &amp; Data</category></item><item><title>mistral.rs — Multimodal inference in one Rust binary</title><link>https://www.daioda.io/projects/mistral-rs/</link><guid isPermaLink="true">https://www.daioda.io/projects/mistral-rs/</guid><description>A fast, flexible inference engine in Rust that — despite the name — runs many model families across text, vision, and speech. Quantization (GGUF, GPTQ, and in-situ), LoRA and X-LoRA adapters, paged attention, Rust and Python APIs, and an OpenAI-compatible server with MCP support. · License: MIT (open). The engine you discover when Python dependency hell finally wins. Deserves several times its stars.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Local &amp; Private AI</category></item><item><title>nanochat — The best ChatGPT $100 can buy</title><link>https://www.daioda.io/projects/nanochat/</link><guid isPermaLink="true">https://www.daioda.io/projects/nanochat/</guid><description>Karpathy&apos;s minimal, hackable, full-stack LLM pipeline: tokenizer, pretraining, finetuning, evaluation, inference, and a chat UI, training a GPT-2-class conversational model on one 8xH100 node in about 90 minutes for $50-100. · License: MIT (open). The most valuable output isn&apos;t the model — it&apos;s the mental model. Everyone who trains one stops being afraid of the stack.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Models &amp; Weights</category></item><item><title>nao — Chat with your warehouse, self-hosted</title><link>https://www.daioda.io/projects/nao/</link><guid isPermaLink="true">https://www.daioda.io/projects/nao/</guid><description>An open framework for building and deploying analytics agents. You build a context layer over your data with the nao-core CLI, then deploy a chat interface so non-technical teammates can ask natural-language questions the agent answers against the warehouse. Warehouse-agnostic; bring your own LLM. · License: Apache-2.0 (open). The interesting bet here is architectural: fix the semantics first, and the agent stops hallucinating your revenue. Early, but pointed the right way.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Science &amp; Data</category></item><item><title>OfficeCLI — An Office suite built for agents, not humans</title><link>https://www.daioda.io/projects/officecli/</link><guid isPermaLink="true">https://www.daioda.io/projects/officecli/</guid><description>A from-scratch document engine in a single self-contained binary: reads, edits, and creates .docx, .xlsx, and .pptx, renders to HTML or PNG, evaluates Excel formulas, and runs template merges — no Microsoft Office installation anywhere. · License: Apache-2.0 (open). Agent-native tooling is becoming its own software category. This is what it looks like when someone rebuilds a 40-year-old product assuming the user is a machine.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Agents &amp; Coding</category></item><item><title>Ollama — The one-liner that made local AI normal</title><link>https://www.daioda.io/projects/ollama/</link><guid isPermaLink="true">https://www.daioda.io/projects/ollama/</guid><description>A local LLM runner that packages weights, configuration, and a REST API behind a Docker-like pull-and-run workflow. Runs the current generation of open-weight models — Kimi, GLM, DeepSeek, gpt-oss, Qwen, Gemma — on macOS, Linux, and Windows. · License: MIT (open). If you recommend one tool to someone who has never run a model locally, it&apos;s still this one.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Local &amp; Private AI</category></item><item><title>OLMo 3 — Open source in the strictest sense there is</title><link>https://www.daioda.io/projects/olmo-3/</link><guid isPermaLink="true">https://www.daioda.io/projects/olmo-3/</guid><description>Ai2&apos;s family of genuinely open models — 7B and 32B, in Base, Instruct, and Think reasoning variants — built on the OLMo-core training stack. Uniquely, Ai2 releases the entire model flow: training data, code, recipes, logs, and every intermediate checkpoint, all Apache-2.0. · License: Apache-2.0 (open). When someone asks what &apos;open source AI&apos; should mean, point here and stop arguing.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Models &amp; Weights</category></item><item><title>OmniRoute — One endpoint, 231 providers, zero loyalty</title><link>https://www.daioda.io/projects/omniroute/</link><guid isPermaLink="true">https://www.daioda.io/projects/omniroute/</guid><description>A self-hosted AI gateway exposing a single OpenAI-compatible endpoint across 231+ providers — around 90 with free tiers — with automatic fallback, cost/speed/quality routing, token compression, and ready-made hookups for Claude Code, Cursor, Cline, and other coding agents. · License: MIT (open). Genuinely useful infrastructure wrapped in a value proposition that works right up until the providers decide it doesn&apos;t. Route accordingly.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Local &amp; Private AI</category></item><item><title>OpenClaw — The personal AI assistant you actually own</title><link>https://www.daioda.io/projects/openclaw/</link><guid isPermaLink="true">https://www.daioda.io/projects/openclaw/</guid><description>A self-hosted assistant that runs on your own devices, with a local gateway bridging AI models to the places you already talk: WhatsApp, Telegram, Slack, Discord, Signal, iMessage. Voice, a live canvas UI, multi-agent routing, and companion apps for macOS, iOS, and Android. · License: MIT (open). The clearest signal yet that the assistant wars will be fought partly on your own hardware. Extraordinary momentum — bring your own security discipline.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Agents &amp; Coding</category></item><item><title>OpenEvolve — Run &apos;AI discovers algorithms&apos; yourself</title><link>https://www.daioda.io/projects/openevolve/</link><guid isPermaLink="true">https://www.daioda.io/projects/openevolve/</guid><description>An open evolutionary coding agent in the lineage of DeepMind&apos;s AlphaEvolve: it uses LLMs as mutation operators inside a quality-diversity loop with island-based parallel populations, evolving programs against automated evaluators. It has reproduced state-of-the-art results and discovered real GPU-kernel speedups. · License: Apache-2.0 (open). AlphaEvolve made headlines and stayed closed. This is the version you can point at your own bottleneck tonight.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Experimental &amp; Unusual</category></item><item><title>openpi — A frontier robot policy, weights and all</title><link>https://www.daioda.io/projects/openpi/</link><guid isPermaLink="true">https://www.daioda.io/projects/openpi/</guid><description>Physical Intelligence&apos;s open release of its flow-based vision-language-action models. π0 is pretrained on 10,000+ hours of robot data; π0.5 adds open-world generalization via &apos;knowledge insulation&apos;; π0-FAST is an autoregressive variant. Base models ship with DROID, ALOHA, and LIBERO checkpoints. · License: Apache-2.0 (open). When a robotics-foundation-model company open-sources its actual policy, the field moves. This is that release.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Robotics &amp; Embodied AI</category></item><item><title>OpenWiki — Documentation that keeps itself current for agents</title><link>https://www.daioda.io/projects/openwiki/</link><guid isPermaLink="true">https://www.daioda.io/projects/openwiki/</guid><description>A CLI from LangChain that writes and continuously maintains agent-facing documentation. Two modes: a living wiki of your repository, and a personal knowledge wiki fed by connectors like Git, Notion, Gmail, and web search. · License: MIT (open). The llms.txt idea grown into a system: docs as the interface between your codebase and its new robot readers.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Agents &amp; Coding</category></item><item><title>Qwen-Image — The open image model that can actually spell</title><link>https://www.daioda.io/projects/qwen-image/</link><guid isPermaLink="true">https://www.daioda.io/projects/qwen-image/</guid><description>A 20B image foundation model spanning text-to-image and precise instruction-based editing. Its signature strengths: complex text rendering — long passages, real typography, Chinese included — and identity-preserving edits. The 2.0 release added native 2K output and multi-image composition. · License: Apache-2.0 (open). Typography was the tell that gave AI images away. That tell is gone, and the model that killed it is free.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Generative Media</category></item><item><title>RAGFlow — RAG that takes documents seriously</title><link>https://www.daioda.io/projects/ragflow/</link><guid isPermaLink="true">https://www.daioda.io/projects/ragflow/</guid><description>An open RAG engine centered on deep document understanding — layout-aware parsing of PDFs, tables, and scans — fused with agent capabilities to build a context layer for LLMs, with citation-grounded answers. · License: Apache-2.0 (open). The unglamorous truth of RAG is that parsing beats prompting. This project is built on that truth.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Retrieval &amp; Knowledge</category></item><item><title>RF-DETR — Real-time detection without the AGPL question</title><link>https://www.daioda.io/projects/rf-detr/</link><guid isPermaLink="true">https://www.daioda.io/projects/rf-detr/</guid><description>Roboflow&apos;s real-time transformer architecture for detection and instance segmentation, built on a DINOv2 backbone and reported state-of-the-art on COCO and RF100-VL. Six detection sizes from Nano to 2XLarge, optimized for fine-tuning on custom datasets. Accepted at ICLR 2026. · License: Apache-2.0 (core + Nano-Large models) (open). The detector to reach for when legal asks &apos;what&apos;s our YOLO exposure?&apos; and you&apos;d rather not have that meeting.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Computer Vision</category></item><item><title>RuView — Your WiFi router as a motion sensor</title><link>https://www.daioda.io/projects/ruview/</link><guid isPermaLink="true">https://www.daioda.io/projects/ruview/</guid><description>A WiFi-sensing platform that turns Channel State Information from cheap ESP32 nodes into presence detection, activity recognition, and claimed vital-sign monitoring — no cameras, no wearables. Integrates with Home Assistant, Apple Home, Google Home, and Alexa, with hardware starting around $8. · License: MIT (open). Delightful and unsettling in equal measure. Included because it&apos;s genuinely novel — and flagged because novelty isn&apos;t the same as validation.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Experimental &amp; Unusual</category></item><item><title>SAM 3 — Segment anything — now including things you name</title><link>https://www.daioda.io/projects/sam3/</link><guid isPermaLink="true">https://www.daioda.io/projects/sam3/</guid><description>Meta&apos;s unified 848M-parameter foundation model for promptable segmentation in images and video: a DETR-based detector fused with the SAM 2 tracker, so one model detects, segments, and tracks from text prompts, points, boxes, or masks — with open-vocabulary concepts trained over ~270k unique terms. · License: Apache-2.0 (partial). Technically indispensable, legally &apos;read the license first.&apos; Both things are true, and this site exists to say so in the same breath.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Computer Vision</category></item><item><title>SmolLM3 — A 3B model with its blueprints published</title><link>https://www.daioda.io/projects/smollm3/</link><guid isPermaLink="true">https://www.daioda.io/projects/smollm3/</guid><description>Hugging Face&apos;s fully open 3-billion-parameter model with a toggleable extended-thinking mode, 64k context natively (128k+ via YaRN), six languages, and tool calling — trained on 11T tokens with the complete recipe, configs, and data mix published. · License: Apache-2.0 (open). Small models are where open source wins outright — and this one ships with its homework attached.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Models &amp; Weights</category></item><item><title>Strix — Pentesting agents that prove their findings</title><link>https://www.daioda.io/projects/strix/</link><guid isPermaLink="true">https://www.daioda.io/projects/strix/</guid><description>Autonomous penetration-testing agents that behave like attackers: they run code against your application, validate findings with working proof-of-concept exploits rather than static analysis, cover source review and web assessment, classify against OWASP, and can propose patches. · License: Apache-2.0 (open). Red-teaming is being automated whether defenders are ready or not. Better to know what these agents can do to your app before someone else&apos;s does.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Agents &amp; Coding</category></item><item><title>supervision — The glue code of computer vision, written once, properly</title><link>https://www.daioda.io/projects/supervision/</link><guid isPermaLink="true">https://www.daioda.io/projects/supervision/</guid><description>Roboflow&apos;s model-agnostic utility library: reusable building blocks for detection, tracking, annotation, dataset conversion, and video analytics. Connects to models from Ultralytics, Transformers, and MMDetection, and provides annotators, multi-object tracking, zone counting, and speed estimation. · License: MIT (open). Every field has one library everyone quietly depends on. In vision analytics, you&apos;re looking at it.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Computer Vision</category></item><item><title>txtai — An entire AI search stack in one pip install</title><link>https://www.daioda.io/projects/txtai/</link><guid isPermaLink="true">https://www.daioda.io/projects/txtai/</guid><description>An all-in-one embeddings database combining vector search, graph networks, and relational storage with SQLite-grade simplicity. On top of its semantic index it layers pipelines, workflows, agents, and RAG — all runnable fully locally and exposable as a FastAPI service. · License: Apache-2.0 (open). Most projects don&apos;t need a vector database; they need this. Years of steady releases and zero drama — the good kind of boring.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Retrieval &amp; Knowledge</category></item><item><title>Vibe-Trading — Conversational quant research, with kill switches</title><link>https://www.daioda.io/projects/vibe-trading/</link><guid isPermaLink="true">https://www.daioda.io/projects/vibe-trading/</guid><description>From HKU&apos;s data-science lab: natural-language quantitative research that turns a hypothesis into a signal engine and backtest. Ships 50+ MCP tools, an &apos;Alpha Zoo&apos; of 452 prebuilt factors, 18 free data providers, connectors to 10 brokers, and delivery to 16 chat channels — with mandate gates, kill switches, and audit ledgers built in. · License: MIT (open). The most instructive part isn&apos;t the alpha factory — it&apos;s watching a serious lab design guardrails for agents that touch money.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Agents &amp; Coding</category></item><item><title>Wan 2.2 — The fully open flagship of video generation</title><link>https://www.daioda.io/projects/wan22/</link><guid isPermaLink="true">https://www.daioda.io/projects/wan22/</guid><description>Alibaba&apos;s open video suite built on a mixture-of-experts diffusion architecture: 27B text-to-video and image-to-video models, a 5B dense variant with a high-compression VAE for consumer GPUs, plus speech-to-video and character-animation variants. · License: Apache-2.0 (open). When the next version goes closed, the last open one becomes infrastructure. Expect this checkpoint to be built on for years.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Generative Media</category></item><item><title>Z-Image — Frontier image quality at 6B parameters</title><link>https://www.daioda.io/projects/z-image/</link><guid isPermaLink="true">https://www.daioda.io/projects/z-image/</guid><description>An efficient 6B single-stream diffusion transformer family. Z-Image-Turbo generates photorealistic images in 8 steps with sub-second latency on datacenter GPUs and fits in 16GB of consumer VRAM; variants cover text-to-image, instruction editing, and bilingual text rendering. · License: Apache-2.0 (open). Efficiency is the quiet frontier. The most interesting race in image models is now about doing more with less.</description><pubDate>Sun, 19 Jul 2026 12:00:00 GMT</pubDate><category>Generative Media</category></item></channel></rss>