Open Source

Open Source Radar — August 31: what agents read, teach, and plug into

The Stack

Open Source Radar — August 31: what agents read, teach, and plug into

The daily board is full of things that bolt capability onto agents you already run: a research skill that swaps search-engine editors for crowd votes, a classroom that builds courses with an agent instead of a prompt box, and the two plumbing layers — MCP servers and realtime voice — that keep showing up underneath everything else. last30days-skill (Go, ~60,600 stars) — An agent skill that searches Reddit, X, YouTube, Hacker News, Polymarket, TikTok and the open web in parallel, then scores…

Tencent open-sources Hunyuan Hy4 preview — 770B params, 1M context

The Frontier

Tencent open-sources Hunyuan Hy4 preview — 770B params, 1M context

China's open-weight race just got its heaviest new contender, and Tencent is pitching it as a productivity workhorse rather than a benchmark-chaser. Tencent is open-sourcing Hy4 preview, a 770 billion-parameter Mixture-of-Experts model with a 1 million-token context window. The architecture activates only 49 billion parameters per token — a 78-layer stack where each layer beyond the first holds 256 routed experts plus one shared expert, with eight experts firing per token.

Hugging Face's $400 Microduck puts a waddling robot on every desk

The Arena

Hugging Face's $400 Microduck puts a waddling robot on every desk

The model hub wants to be the place you buy your next robot, and this week it put a price tag on that ambition. Hugging Face unveiled Microduck on August 27 — a $399 bipedal robot, about ten inches tall and under two pounds, that waddles, sings and skates, developed in part by Pollen Robotics and manufactured by Shenzhen's Seeed Studio. Hugging Face shipped Microduck, an open, $399 bipedal robot that turns the model hub into a robot shelf.

Alibaba's Qwen3.8-Flash-Next hits Opus-class at one-ninth cost

The Frontier

Alibaba's Qwen3.8-Flash-Next hits Opus-class at one-ninth cost

The cost-efficiency race moved another notch on Tuesday night: Alibaba open-sourced Qwen3.8-Flash-Next, a sparse mixture-of-experts model that beats much bigger and pricier rivals on coding and office benchmarks while training for roughly a ninth of the bill. It lands hours after the market absorbed two more cheap models in the same vein, a sign that frontier-grade performance is increasingly a pricing story. Alibaba's Qwen team released and open-sourced Qwen3.8-Flash-Next, a model that packs…

Open Source Radar — August 26: The agent shelf is stocking up

The Stack

Open Source Radar — August 26: The agent shelf is stocking up

After yesterday's Karpathy-driven flood, today's board thins out — and what's left standing is telling. The projects still climbing aren't new agent loops; they're the layers that stock and distribute the stack: a warehouse of ready-to-run agent apps, Anthropic's own storefront for Claude Code extensions, and a hundred-thousand-star trading framework that refuses to leave the daily list. Awesome LLM Apps (Python, ~134k stars) — Sitting second on today's daily board is a catalog of more than…

DeepSeek's books leak: $70.7 million revenue, $106 million loss

The Arena

DeepSeek's books leak: $70.7 million revenue, $106 million loss

The most-watched lab in open weights just got something none of its Western rivals have volunteered: a public look at the P&L. DeepSeek generated roughly $70.7 million in revenue during the first seven months of 2026 while posting a $106 million net loss, according to figures reported by The Information, citing sources. That top line is about ten times what the Hangzhou lab earned in all of 2025 — around $7 million of revenue against a $139 million annual loss.

Open Source Radar — August 25: Karpathy's playbook, open-sourced

The Stack

Open Source Radar — August 25: Karpathy's playbook, open-sourced

Today's board has a single quiet fingerprint: Andrej Karpathy's recurring complaints about how coding agents misbehave have been turned into an instructions file people actually install, and his "LLM Wiki" idea now underpins a self-organizing note system. Around them sit the rest of the stack that thread depends on — a coding agent that runs in your terminal, and a router that makes free LLM inference worth stacking.

Open-source robot brain DM0.5 takes the crown on RoboDojo

The Frontier

Open-source robot brain DM0.5 takes the crown on RoboDojo

The hardest leaderboard in robotics has a new number one — and this time, anyone can download it. Dexmal's DM0.5, an open-weight vision-language-action model, has taken first place on RoboDojo, according to Dexmal and QbitAI's report on the leaderboard. Its composite score of 24.90 and 19.34 percent average success rate sound modest until you see the field: as of July 2026, models at the top of RoboDojo's simulation board averaged just 8.80 percent success, and the real-robot board 12.8…

Alabama AG subpoenas OpenAI over the Hugging Face hack

The Guardrails

Alabama AG subpoenas OpenAI over the Hugging Face hack

Today's AI news circles one question: what is this technology allowed to do, and who gets hurt when it oversteps? A state attorney general just turned OpenAI's notorious test-run hack into a formal investigation, Pew put hard numbers on the AI-written web, and a buzzy new personal assistant is facing questions about how much access is too much. Alabama's attorney general subpoenaed OpenAI on Monday, opening a consumer-protection investigation tied to the July incident in which OpenAI's AI…

Open Source Radar — August 24: agents that learn you

The Stack

Open Source Radar — August 24: agents that learn you

Today's board has a clear thumbprint: the top of trending is dominated not by another chat wrapper but by agent harnesses that build a memory of you, ways to run coding agents for free, and the prompt libraries and plugin markets feeding them. Five fresh projects, none of them repeats from the week's earlier radars. Hermes Agent (Python, ~235k stars) — Nous Research's open-source agent is the top mover on today's board, and its pitch is "the agent that grows with you." Unlike most harnesses…