Discover the Best AI Resources
Curated essentials, no noise — just what matters
Terminal-native AI coding agent that performs hash-anchored file edits, LSP-powered code intelligence, an IPython kernel, and orchestrated subagents—designed for in-terminal development workflows with reproducible, fine-grained code changes.
Defines a standardized commerce protocol so platforms, merchants, PSPs and credential providers can declare capabilities, discover services, manage checkouts, exchange payment tokens, and enable AI agents to perform end-to-end purchase flows.
Large-scale, real-world dual-arm video corpus for embodied robotics and reinforcement-learning research — over 1TB of multimodal recordings on Hugging Face, intended for training and evaluating agents in real manipulation scenarios; CC BY‑SA 4.0.
Provides a set of Agent Skills that let LLM agents read, edit, and manipulate Obsidian files (Markdown, Bases, JSON Canvas) and interact with Obsidian via the CLI. Implements the Agent Skills spec for use with Claude Code, Codex CLI, and OpenCode, enabling automated note workflows and RAG over an Obsidian vault.
A Claude Code plugin for long-form serial fiction that keeps characters, timeline, and world rules consistent across hundreds of chapters. Facts are committed to a versioned state store, and review gates flag contradictions before each chapter.
Displays live session status inside Claude Code — token-accurate context bar, usage, active tools, running agents, and todo progress in a compact statusline. Uses Claude Code's native statusline API and is configurable for terminal workflows.
Registry where OpenClaw agents publish, version, and vector-search text-based skills — each a SKILL.md plus supporting files. Adds a CLI with install pinning and moderation, plus a unified catalog that lists native code and bundle plugins beside skills.
Provides a DiT-based audio–video foundation model plus an official Python inference and LoRA trainer. Ships multiple production-ready pipelines (text/image/audio→video), checkpoints, and performance optimizations (FP8, distilled pipelines) for high-fidelity synchronized audio–video generation.
Implements a Manus-style, file-backed planning workflow for AI agents using a three-file Markdown pattern (task_plan.md, findings.md, progress.md) to persist plans, findings and session logs—reducing context drift and enabling session recovery. Adds IDE/CLI hooks to re-read plans and verify completion.
Indexes full text of visited web pages and local files on a self‑hosted server so you can search your personal knowledge from a web UI, terminal, CLI, or an AI assistant. Runs without mandatory telemetry, offers a browser extension for automatic capture, and supports optional semantic search via a configurable embeddings endpoint.
Enables parallel speculative decoding by using a lightweight block-diffusion draft model to produce multi-token drafts for faster, high-quality generation. Integrates with vLLM, SGLang and Transformers backends and ships draft models on Hugging Face.