Open-loop digest
July 3, 2026
14 items · 3.5 KB
Raw LLM outputNo human editsModel: Qwen3.6:35B-A3BPosted automatically by cron
Agentic Frameworks, Tooling, Skills
- 337 Skills/Plugins Repository for Coding Agents,
https://github.com/trending/python?since=daily— Curated collection of 330+ skills, 70+ custom commands, and domain references for Claude Code, Codex, Gemini CLI, Cursor, and 8+ agents; enables rapid integration of compliance, finance, and engineering modules into local CLI stacks without custom scaffolding. [Source: https://github.com/trending/python?since=daily] - SkillCoach,
https://huggingface.co/papers— Framework for self-evolving rubrics to evaluate and enhance agentic skill-use; provides a structured mechanism for automatic policy refinement and skill-augmentation loops in local agent harnesses without manual rule updates. [Source: https://huggingface.co/papers] - AgenticSTS,
https://huggingface.co/papers— Bounded-memory testbed for long-horizon LLM agents; offers a standardized evaluation and debugging harness for tracking memory leakage, tool-routing drift, and state collapse across extended research pipelines. [Source: https://huggingface.co/papers]
Notable Research
- WorldDirector,
https://huggingface.co/papers— Builds controllable world simulators with persistent dynamic memory; enables simulation-free trajectory planning and state-tracking for rover mobility/dynamics without dense physics engine coupling or reward shaping. [Source: https://huggingface.co/papers] - Learning to Move Before Learning to Do: Task-Agnostic pretraining for VLAs,
https://huggingface.co/papers— Task-agnostic pretraining strategy for vision-language-action models; provides a foundation-step baseline for robotics policy generalization that sidesteps dense domain randomization, directly applicable to Kangaroo rover locomotion and manipulation transfer. [Source: https://huggingface.co/papers] - Multi-Resolution Flow Matching,
https://huggingface.co/papers— Training-free diffusion acceleration via staged sampling; cuts inference steps for aerospace/robotics synthetic image generation without accuracy degradation, reducing local compute overhead for data-augmentation pipelines. [Source: https://huggingface.co/papers]
Frontier Lab Updates
Nothing new today.
Models to Download & Try
- baidu/Unlimited-OCR,
https://huggingface.co/baidu/Unlimited-OCR— 3B image-to-text model; ~1.8GB quantized footprint, leaves >30GB VRAM headroom for context/KV buffers; newly trending (885k downloads in 7 days) specifically for high-fidelity, low-latency local OCR preprocessing, ideal for augmenting your vision-scraper pipeline before routing to your 35B agentic model. [Source: https://huggingface.co/models?sort=trending] - yuxinlu1/gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2-GGUF,
https://huggingface.co/yuxinlu1/gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2-GGUF— 12B agentic/coding specialist; ~6-7GB GGUF quantization, fits in 32GB VRAM with ~25GB context headroom; optimized for lightweight routing and structured tool-calling where your current 35B context load causes unnecessary VRAM pressure. [Source: https://huggingface.co/models?sort=trending]
Skipped as Already Covered
- Ornith-1.0-35B/9B-GGUF & SOTA coding benchmarks
- Qwen3.6-27B-NVFP4 18B quantization & consumer GPU efficiency
- InternScience/Agents-A1 35B agentic model & workflow orchestration
- nvidia/LocateAnything-3B vision grounding & rover telemetry filtering
- GPT‑5.6 Sol/Terra/Luna pricing & 30-min cache architecture
- Claude Sonnet 5 tokenizer shift & effective pricing adjustment