Discover the Best AI Resources
Curated essentials, no noise — just what matters
Discovers MCP servers already configured in Cursor, Claude, Codex and other editors, then calls their tools from TypeScript or the CLI. Can also turn any server into a standalone command-line tool or a typed TypeScript client.
Contains training, evaluation, and deployment code plus checkpoints for humanoid whole-body controllers (Decoupled WBC and GEAR‑SONIC). Includes C++ inference, VR teleoperation, data pipelines (Bones‑SEED) and Hugging Face checkpoints for research-to-robot workflows.
Provides versioned LoRA weights and ComfyUI workflows to perform face, head, and full-person swaps for Qwen Image, Qwen Image Edit, Flux 2 Klein and Krea 2; includes multiple swap levels, input-order conventions, and recommended base-model pairings—start at LoRA strength 1.0 and adjust.
Automatically generates complete short-form videos from a single topic: drafts script with an LLM, produces AI images/video, synthesizes multilingual TTS (including voice cloning), adds background music, and composes the final video. Supports local ComfyUI/RunningHub or direct model APIs and customizable templates.
Visual, example-driven guide for using Claude Code: structured learning path, copy‑paste templates, and diagrams that show how to combine slash commands, hooks, subagents and MCP into production workflows.
Packages Salesforce development workflows as on‑demand Agent Skills (SKILL.md, scripts, assets) that let AI assistants scaffold Apex/LWC, author Flows, run SOQL, and manage metadata and permission sets. Optimized for Agentforce Vibes and usable by any tool that supports the Agent Skills specification.
Performs open-vocabulary promptable segmentation and tracking on images and videos, returning instance masks and unique IDs from short noun-phrase or exemplar prompts. Trained on a 4M-concept, 52M-mask dataset; uses a presence head and a decoupled detector–tracker design, with near real-time inference for multi-object video.
Unifies team email, chat, docs, tasks, CRM, calls and AI agents into a single workspace with bidirectional @-linking and a shared, exportable team memory.
Drives penetration testing from chat commands, orchestrating 100+ security tools through an MCP-native multi-agent engine on CloudWeGo Eino. Adds attack-chain graphs, risk scoring, and human-in-the-loop approval gates for authorized use.
Curated collection of 70 hands‑on cybersecurity projects, certification roadmaps and learning resources organized into Foundations/Beginner/Intermediate/Advanced tiers. Each project ships source code plus deep learn/ documentation; several focus on AI security (LLM prompt defenses, ML threat detection).
Open synthetic corpus for training small reasoning-focused language models — ~79.65M generated samples (≈75B tokens with Pleias tokenizer) amplified from ~58.7k Wikipedia/Wikibooks seeds; includes explicit synthetic reasoning traces, multilingual coverage, and parquet splits.
Provides adaptive workflow steering rules for AI coding agents to guide development across Inception, Construction, and Operations phases. Includes opt-in extensions (security, testing), IDE/agent integrations (Cursor, Kiro, Amazon Q, Copilot, Claude), and human-in-the-loop approval points.