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Spielerando (Show HN) ·

Spielerando is an MCP game workbench that gives Claude Code and Cursor tested game recipes and story checks

Shown on HN Nov 2, one pasted line connects your coding assistant to 3,257 wiki entries, 113 blueprints and 45 code recipes for things like jump feel, loot odds and saves, plus checkers that walk every story path to find dead ends and stuck quests while it versions your project. It's free to start with a Google or email sign-in, in English and German, and the site gives no pricing beyond that.

Read at spielerando.com

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Arvre draws your Claude Code sessions and their forks as a navigable tree in the terminal

Shown on HN Nov 2 under MIT, pipx install arvre gives a TUI that reads /.claude/projects , links each fork to the earlier session sharing the most message IDs (Claude Code records no parent link), and lets you jump between parents and children, then resume one with claude resume or copy the command. It needs Python 3.11+ on macOS or Linux, and the author warns the session format is undocumented, so a Claude Code update could break it…

GitHub (victorcarrico/arvre)

Codex Session Operator runs OpenAI Agents API sessions against Git repos in your own Kubernetes cluster

Shown on HN Nov 2 under Apache 2.0, the alpha operator lets OpenAI run the agent loop while codex exec server executes commands in a Kubernetes Agent Sandbox workspace, with a gateway saving messages, results and approvals in PostgreSQL so follow ups reuse the same workspace. Agents, Environments and Profiles are CRDs, and a Profile can set an optional per session dollar cap; real tasks need Agents API beta access and incur API charges…

GitHub (softcane/codex-session-operator)

KVARK Sparkle 1.0 is an Apache-2.0 Qwen3.8-27B tune that thinks up to 67% less for about the same accuracy

Egzakta AI Lab's first open weight model, posted Nov 2 in BF16, FP8 and GGUF with an MTP head for speculative decoding, cuts median reasoning tokens 34–67% across five benchmarks and answers in 13.7s versus 28.1s for Qwen3.8 27B on one H200, with accuracy within a point except a +5.3 on a 50 problem LiveCodeBench subset. All numbers are the lab's own, and the GGUF runs locally via llama server hf Egzakta/Kvark Sparkle 1.0 27B GGUF:Q4 K M…

Hugging Face (Egzakta)

vLLM 0.33 release notes drop CUDA 12.9 builds and remove draft-slot reservation for DFlash/DSpark speculative decoding

Posted Nov 2 with 927 commits, the notes move vLLM to PyTorch 2.14 with CUDA 13.0 only wheels and images, and say DFlash/DSpark drafters no longer reserve token budget slots, lifting DeepSeek V4.1 Flash on GB300 from 1,373 to 3,390 output tok/s in the PR's own benchmark. The GitHub tag is still v0.33.0rc3 , and Medusa, the MLP speculator and the Ray compiled graph executor are removed, so check your setup before upgrading…

GitHub (vllm-project/vllm)

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