#Open source/Repo

AIMuse has released Muse Gadgets, an open-source ESP32 firmware and Linux SDK for building hardware devices that work with Muse. Developers can obtain an API token from gadgets.muse.ai and use a coding agent with the GitHub repo to build peripherals. Guillermo Rauch praised the team's rapid shipping.

AIMuse has released Muse Gadgets, open-source ESP32 firmware and a Linux SDK for building hardware devices that work with Muse. Developers can get an API token at gadgets.muse.ai and use a coding agent with the GitHub repository to build custom peripherals.

AIPerplexity has released several open source projects, including the pplx-decider-v1-27b multimodal decision model, the pplx-embed-v2-context-9b-preview contextual embeddings model, and the Lily local inference engine for Apple silicon. The post also lists the 0.6B on-device PII-Tracer classifier with its PII-TRACE benchmark, the WANDR research agent benchmark, and the Numbat and Bumblebee security tools, and says more open source releases are coming soon.

AISGLang has released v0.5.20, bringing Intel XPU into standard releases alongside RL sampling masks that make rollouts more reliable with up to 52% faster decode. The update also adds Unified Radix Tree SWA branching-point caching, which the project says lifts cache hit rate about 20 points and cuts TTFT by roughly one-third, plus up to 12.5× faster ROCm model loading. New models named in the release include GLM-5.3-Flash, Qwen3.8-Flash-Next, K2 Horizon, Hy4-Preview, FastH3, and VDN-H3.

AISGLang has published full release notes for version v0.5.21 on GitHub. The post itself gives no further details beyond linking to the release page.

AIxAI has published an early version of its TypeScript SDK, available on GitHub at xai-org/xai-sdk-ts and on npm as @xai-official/sdk. The post invites developer feedback as the company continues iterating on it.

AIKeras is moving to a pluggable backend design, with MLX and PaddlePaddle backends upcoming as add-on libraries. The team is reducing the operations needed to ship new backends and streamlining unit testing so a single harness can test all ops, such as casting consistency. KerasHub also gains many new models and is shifting its preprocessing from tf-text to PyGrain.

AITypeSafe AI shows how to build long-document search by combining its Jev with PageIndex, with no vector database or embeddings required. The project is open source on GitHub under VectifyAI's jev-doc-search repository.

AIOpenCode is offering inclusionAI's latest model, Ling-3.1-flash, for free. The model has 560B total parameters, 25B active parameters, and a 262K context window.

AIAnt Ling has made Ling-3.1-flash available on OpenRouter at no cost, inviting users to try it and share feedback. The post provides no details on model size, benchmarks, context length, or pricing beyond the free access.

AIAi2 released AstaBrief 8B, an open-weights model that turns a research question and retrieved literature excerpts into a cited report, along with its training data. The model runs as Fast mode in Asta, averaging 51.1 seconds per report versus 178.5 seconds for Thinking mode, about 3.5x faster. The post also describes filtering synthetic training data by citation density and building DPO pairs judged by two models that agreed.

Why it matters: The post explains how supervised fine-tuning, preference data, and citation-density filtering were used to build a cited-report model, which is useful for teams training their own models.

AILiquid AI shared a Hugging Face guide to multi-harness reinforcement learning for coding agents, in which a proxy records the token ids and logprobs vLLM samples so training works without changing the harness. Per the quoted post, LFM2.5-2.6B rose from 42% to 54% after training across four harnesses at once, and imitation fine-tuning on 3,189 rollouts from Qwen3.8-27B plateaued at 47.5%, below both RL runs. The proxy, trainer, tasks, SFT data, training code and seven trained models are described as open.

AIGoogle announces a next-generation federated learning system that uses Trusted Execution Environments to provide verifiable, auditable data anonymization. The system publishes access policies to a public transparency log and is deployed in Gboard, which has launched English and Japanese next-word prediction models with stronger privacy guarantees and improved accuracy. Training time has also sped up significantly because computation moved to the server and is parallelized across many machines.

Why it matters: The post shows how Trusted Execution Environments make federated learning's privacy claims externally verifiable, rather than relying on trust in the server operator.

AIllama.cpp now supports decision models, which route tickets, moderate content, or choose an agent's next step by returning a probability for every option. Five open models from 144M to 27B parameters are supported at launch, and the team says more will follow in the coming days. Because most decision models do not need large GPUs, they are a good fit for llama.cpp, and a Hugging Face blog post explains how to set them up.

AIGeorgi Gerganov announced that decision models are now available in the latest llama.cpp builds through a new /v1/systemone endpoint. The endpoint supports local, private inference with multiple open models, and more are planned.

AIinclusionAI has released Ling 3.1 Flash, a hybrid reasoning mixture-of-experts model with 560B total parameters, of which 25B are active. The source does not provide benchmark scores, pricing, context length, or availability details.

AIAi2 released AstaBrief 8B, a model that turns a research question and retrieved literature excerpts into a cited report, along with its training data. In Asta's Generate a report feature, Fast mode averages 51.1 seconds per report versus 178.5 seconds for Thinking mode, about 3.5x faster. The model is built on Qwen3-8B with supervised fine-tuning and DPO, and institutions can run its open weights on their own infrastructure.

Why it matters: The post explains the data filtering and one-pass generation choices behind a fast open-weights report model, showing what worked and what did not.

AIDeepSeek released packaged desktop versions of DeepSeek Harness for macOS and Windows. Linux users can install it from the @deepseek-ai/dsh package on npm.

AIcheap typed answers for the small calls inside a harness (routing, approvals, judging), big model for the rest

AIComfyUI released YUI, described as the first animated short film made with Comfy Agent, a 4:20 film its creator made in three days. Comfy Agent handled shot regeneration, side-by-side model comparisons, and character consistency checks that previously required weeks of manual testing and generation.

AIPerplexity open-sourced pplx-decider-27b, a state-of-the-art multimodal Decision Model, and offers it through a new Decisions API. Input tokens cost $0.04 per million and output tokens are free, with further price cuts promised in the coming days.

AIARC Prize has published full ARC-AGI results for Alibaba's Qwen3.8-27B, with the testing run hosted by Baseten. The post links the public leaderboard, the open-source benchmarking repository for reproducing the results, and the testing policy.

AIGuillermo Rauch argues that the future is verification engineering, spanning proofs, end-to-end tests, benchmarks, and linters. He expects some of these tests to be deterministic and others agentic, and he says the approach looks great. The quoted post introduces e2e, an open-source agentic testing framework that mixes deterministic and agentic APIs and runs locally or in CI.

AIAnthropic is adding pre-built sample mods to the Claude Code Playground repo for developers to adapt. The post points readers to a getting started guide on creating Claude Code mods.

AICloudflare has open-sourced Clef and Clef-Flash, its first homegrown decision models, now available on Workers AI. Harrison Chase praised the release as an open-weights entrant and argued that agent harnesses should be able to swap their decision model as easily as their main model.

AIGoodfire says AI cybersecurity risks are already here and that biosecurity risks are next, as models improve at biology. The post presents this as both an opportunity for science and medicine and a reason for stronger security. It quotes Demis Hassabis announcing SynthID for biology, a watermarking approach for AI-generated proteins, published in Nature with SynthID Bio tools open sourced.

AICloudflare's Workers AI team has released Clef, its first models, two fast decision models that it says top benchmarks for quality and latency. They are available hosted on Workers AI or as open weights on Hugging Face.

AIGoogle has introduced the @google/stitch CLI, letting users generate screens and design systems without leaving the terminal. It connects to local coding agents and can send a local dev server snapshot to Stitch. The tool complements the existing Stitch MCP and SDK, and can also be driven through agents such as Antigravity.

AIHugging Face says ml-intern is an open-source ML engineering and research harness usable free on local setups, and it is also hosted on Hugging Chat with no-code access. A second hosted option runs on Hugging Face infrastructure, where ml-intern selects the cheapest GPU for a task so models can be trained for a few dollars. MaziyarPanahi reportedly trained a model by prompting alone for $6.60 on an NVIDIA A100 in 16 minutes.

AICloudflare released Clef and Clef-flash, two decision models hosted on Workers AI and open-sourced on Hugging Face under Apache 2.0, and launched a reinforcement learning fine-tuning service. In Cloudflare's tests, Clef classified a domain in 2.2s versus 4.7s for gpt-oss-120b, and the models are Jev-API compatible. The company is offering fine-tuning first through a forward-deployed engineering team, with a self-serve platform planned later.

AISara Hooker shared a full technical report on a method for creating datasets from zero seed data, linked via alphaXiv. She also pointed readers to an interactive tool at adaptionlabs.ai where users can begin inventing datasets.

AISophia Yang praised Fireworks AI for leading the open model inference economy, citing a plot from Nathan Lambert showing exponential growth in daily tokens processed. The chart compares leading companies using public disclosures for Together, Baseten, and Fireworks, plus OpenRouter API data, with Lambert noting he had underestimated OpenRouter's growth.

AIHugging Face's Merve Noyan announced ml-intern, an open-source harness for ML engineering and research that she says is better than a coding agent. It is available to try in Hugging Face Chat.

AIPerplexity has published the pplx-embed-v2-context-9b-preview model on Hugging Face. The post links to the model page but gives no further details on its capabilities, benchmarks, or pricing.