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Atria Dawn is now on AnyRouter.
An agentic model from the Shanghai Artificial Intelligence Laboratory, built on the 744B-parameter GLM-5.2 mixture-of-experts base and released under the MIT license.
anyrouter.dev/model/atria-as…
Introducing Atria Dawn Preview:
From Research Questions to Verifiable Results.
Atria Dawn Preview is an agentic foundation model built for long-horizon tasks, helping researchers and engineers turn open-ended questions into executable, verifiable, and reproducible outcomes.
Explore Atria Dawn Preview:
🌐 Website: atria-asi.ai/
💻 GitHub: github.com/atria-asi/Atria-D…
🤗 Hugging Face: huggingface.co/internlm/Atri…
🤖 ModelScope: modelscope.cn/models/Shangha…
🚀 Try Atria:
EN:api.atria-asi.ai/
ZH:discovery.intern-ai.org.cn/t…
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Hey fellow Tailscale loving friends, with all the security shenanigans going on here’s a prompt I recommend for making sure the weakest link on your talilnet can’t wreck everything else over ssh or otherwise.
Give your agent this and let it walk you thru locking down your ACL:
gist.github.com/alexknowshtm…
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Nemotron 3.5 Bolt E4B is now available for FREE on AnyRouter.
NVIDIA Nemotron 3.5 Bolt E4B is a small language model post-trained from Gemma 4 E4B. It improves multi-turn tool use, instruction following and input grounding for fast voice and device assistants, interactive personas and embedded interfaces, with low memory use and low time to first token.
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MiniMax M3.1 Flash is paid on most platforms now, but AnyRouter still has it free 🔥
• $0 API access
• no daily request cap
• up to 2,400 requests/min per key
• sign in required
• no end date announced yet
base URL: anyrouter.dev/api/v1
model: minimax/minimax-m3.1-flash:free
details: anyrouter.dev/blog/minimax-m…
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chmonitor v0.3.9 — Know who runs what
chmonitor v0.3.9 ships 9 new features and 10 fixes since v0.3.8. Every query the dashboard sends now carries who ran it and from which page, a new Dashboard Usage page reads that back, the users page shows who is active, and repeat alerts.
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chmonitor v0.3.7 — An agent that reads your page
chmonitor v0.3.7 ships 51 new features, 99 fixes, and 16 performance changes since v0.3.6. The agent got smarter, alerts are easier to set up, the sidebar is easier to move around, and the docs have a new look.
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We’re adding support for MCP Tasks and Elicitations in Claude.
Tasks let Claude give plugins long-running jobs such as deep research and report back when they’re done.
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Together, we create a large pool for free models, more people = more tokens. See how the AnyRouter Pool works: anyrouter.dev/pool
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With Go $2/mo you can access all 37 models unlimited via AnyRouter Pool.
- Dots Studio: Dots3-Note Preview
- MiniMax: MiniMax M3.1 Flash
- Poolside: Laguna S 2.1
- NVIDIA: Nemotron 3 Ultra 550B
base_url = anyrouter.dev/api/v1
Using with claude code:
$ anyr claude --yolo
anyrouter.dev/models?free=tr…
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Introducing Kimi K3.1 Pro: our most capable 3T-class open-weight model.
🔹 1M-token context, 2.8T total / 104B active params (MoE), Multimodal.
🔹 Full-project coding: games in Unreal, Unity & Godot.
🔹 Excels at parametric 3D modeling in Blender & CAD.
🔹 More reliable at finance work: Accurate modeling with hallucination down by 65%.
🔹 Matching the strongest proprietary models across coding, agentic and knowledge benchmarks.
Kimi K3.1 Pro and K3.1 Pro Highspeed (2–3× faster) are now live on Kimi.ai, Kimi Work, Kimi Code, and the Kimi API.
Open weights by Nov 4, 2026.
🔗 API: platform.kimi.ai
🔗 Tech blog: kimi.ai/blog/kimi-k3-1-pro
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You can now run pplx-decider-flash-v1.2 locally on your Mac, without an API key.
Decider for Mac is an app that runs the 4B decision model on device. Ask a question about text or an image and get a probability back, all on your machine.
pplx.ai/decider-for-mac
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Meshy is offering Hermes users a month of Pro, which includes API access and 1,000 credits, for $1.
After you subscribe and install the plugin, create a key at meshy.ai/developers/keys and paste it into Settings > Plugins > Meshy in Hermes Desktop.
meshy.ai/pricing?utm_medium=…
Hermes Agent now has an official plugin for @MeshyAI.
Ask Hermes to make a 70m poly treasure chest for Godot, or to turn a photo of a mug into a model you can print, and it does the job through Meshy's MCP server.
In Hermes Desktop the models render in chat, rigged characters animate inline, and a gallery stores every model and prompt. On messaging apps, Hermes sends a short preview video so you can create on the go.
hermes-agent.nousresearch.co…
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38 free models on AnyRouter today -> anyrouter.dev/models?free=tr…
An urgent notice from the Railway team
blog.railway.com/p/security-…
We’re opening a research preview of Claude Duet, a new app where Claude works as a proactive agent.
It comes to you with what needs your attention, completes tasks you ask of it, keeps working when you step away, and checks with you before it acts on your behalf.
there's something really cool about asking your agent to draw a statechart (hypothetical example in this image), then using the /create-formal-verification-skill you made with pstack to find bugs through something like TLA+. you can both understand your code better and how the user flow should work, and fix issues users would otherwise see
pstack v0.15.27 ships with a new skill /create-formal-verification-skill!
it's still in beta, and similar to /create-verification-skill, this is a meta-skill that creates a new skill and formal verification suite based on the characteristics you want to verify. for example, you may want to model state machines and systems with concurrency using TLA+, or use kani in rust to check for undefined behavior.
if you're new to formal verification, think of it as mathematically proving properties and invariants (something that must always be true) or "laws" of your system. usually, this means modeling your programs in a separate language like with TLA+ and then running the solver on that spec. newer approaches like with kani and @bendlang take a different approach where there is no separate language: you write kani in rust, and bend in bend (it's also a programming language, and the proofs are written as laws and expressed in its type system).
historically formal verification never reached mainstream status because of the difficulty in modeling and writing proofs. it's quite difficult to model your business requirements and keep them in sync! but i expect that we will see more innovation in formal verification in the future as being able to formally verifiy that the code does what you intended gives your agents superpowers in writing correct software.
in the meantime though, i've been experimenting with modeling our code with TLA+ and have already found several bugs with the skill created by /create-formal-verification-skill.
try it out and let me know how it goes!
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🚀 Introducing DeepInfer, our in-house inference framework, now fully open source!
Powering DeepSeek-V4.1-Flash at scale with high throughput and low latency. We’re sharing our production stack to help the community lower compute costs, reduce energy use, and make AI more affordable.
🔗 github.com/deepseek-ai/DeepI…
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Beam 1.0 is Reflection's open-weights mixture-of-experts model — 501B total parameters, 23B active across 256 experts — built for token-efficient reasoning, agentic tool use, and software-engineering workloads.
anyrouter.dev/model/reflecti…

























