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Contents

GitHub
AI Agent·2026
GitHub

Cloudflare OS

Cloudflare, Inc.

Browser-based agent workspace and sandboxed app platform that lets organizations run AI agents to perform tasks and build shareable 'Gadgets'. Uses Gatekeepers for fine-grained, zero-trust access control and runs on Cloudflare Workers with multi-LLM support.

#ai-agent#coding-agents#ai-infra#ai-tools#mcp+5
Hugging Face
AI Dataset·2026
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SWE-ZERO 12M Trajectories

AlienKevin

Provides ~12.29M execution‑free agentic coding trajectories (≈112B tokens) sampled from 122K GitHub PRs to mid‑train code and agent models. Uses bash-only actions (grep, git, sed, etc.) so it scales without Docker; trajectories are unverified and intended for mid-training rather than final SFT.

#huggingface#agent-skills#ai-agent#code#vllm+3
GitHub
AI Agent·2026
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Cangjie Skill

kangarooking

Turns books, long videos, and podcasts into executable, testable AI agent skills using a structured RIA‑TV++ pipeline. Produces multi-file skill packs (BOOK_OVERVIEW.md, SKILL.md, INDEX.md, DIGEST.md), applies triple verification and pressure tests, and can install skills into Claude Code/Cursor for agent use.

#agent-skills#claude-code#github#ai-agent#ai-tools+4
Hugging Face
AI Model·2026
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LingBot-Map: Geometric Context Transformer for Streaming 3D Reconstruction

Robbyant Team, Chen, Lin‑Zhuo +10

Performs feed‑forward streaming 3D reconstruction from image sequences, combining coordinate grounding, dense geometric cues and trajectory memory to correct long‑range drift; uses paged KV‑cache attention for ~20 FPS inference at 518×378 and supports sequences >10,000 frames.

#vision#pytorch#foundation-model#huggingface#ai-inference+2
GitHub
AI Client·2026
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ego-lite

Citrolabs

Runs multiple AI agents in parallel inside a single macOS browser, giving each agent an isolated Space that can use your real logins without touching your tabs; controllable via an ego-browser JavaScript skill to perform web automation with fewer tokens and faster task completion.

#agent-skills#ai-agent#ai-tools#javascript#nodejs+6
GitHub
AI Client·2026
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wacrm

ArnasDon

Self-hostable CRM for WhatsApp that centralizes shared inboxes, contacts, sales pipelines and no-code automations; includes a bring-your-own-key AI reply assistant and optional auto-reply bot grounded in a searchable knowledge base.

#github#nodejs#typescript#react#postgres+8
Hugging Face
AI Model·2026
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Leanly_AI

Xin Ning, Wen Junping +2

Clinical question-answering model for psychological support in obesity weight-management. Integrates UK Biobank population evidence to produce clinically interpretable, stigma-aware responses that help clinicians identify distress, prompt screening, and suggest appropriate referrals.

#huggingface#nlp#llm#chatbot#multilingual+2
Hugging Face
AI Dataset·2026
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Open-SWE-Traces

Wasi Uddin Ahmad, Nikolai Ludwig +2·NVIDIA

Provides 207k+ LLM-generated agent trajectories of code edits and tool interactions for training and evaluating software-engineering agents. Collected via OpenHands and SWE-agent using Qwen3.5-122B and MiniMax-M2.5, multilingual across nine languages and released under CC BY 4.0.

#nvidia#huggingface#code#ai-agent#agent-skills+4
GitHub
AI Agent·2026
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Diagram Design

Cathryn Lavery·BestSelf.co, Littlemight

Generates editorial-quality diagrams as self-contained HTML files with inline SVG across 27 visual types; includes brand onboarding, agent-skill integrations (Claude Code, Codex, Pi), draw.io/Mermaid import, and static-first output with optional accessible motion.

#agent-skills#plugin#github#claude#codex+3
Hugging Face
AI Model·2026
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Qwen3.6-35B-A3B-DFlash

z-lab

Drafts multiple tokens in parallel with a lightweight block-diffusion drafter to enable speculative decoding for faster LLM inference. Designed to pair with Qwen3.6-35B-A3B and reports up to ~2.9× throughput improvements on common benchmarks.

#huggingface#llm#vllm#ai-inference#ai-deploy+3
Hugging Face
AI Model·2026
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Qwopus-GLM-18B-Merged (Healed)

KyleHessling1

A healed 64-layer 'frankenmerge' that stacks two Qwen3.5-derived finetunes into an ~18B GGUF model for multilingual text generation, reasoning, and reliable code/frontend output. Healed with a 1000-step QLoRA to reduce layer-boundary artifacts and targeted to run on 12–16 GB GPUs.

#huggingface#llm#nlp#ai-coding#ai-inference+3
GitHub
AI Model·2026
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SenseNova-U1

Haiwen Diao, Penghao Wu +8·OpenSenseNova

Unifies multimodal understanding, reasoning, and image generation in a single end-to-end architecture using the NEO-unify paradigm. Models pixels and words jointly without a separate visual encoder, and provides interleaved image–text generation, infographic editing, and GGUF/low‑VRAM inference options.

#multimodal#foundation-model#ai-image#image#transformers+6
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