Discover the Best AI Resources
Curated essentials, no noise — just what matters
Run Claude as a programmatic agent in Python: one-shot query() calls or a stateful ClaudeSDKClient for multi-turn loops. Define in-process tools, lifecycle hooks, and per-tool permissions; it bundles the Claude Code CLI and exposes its full toolset.
Curated marketplace of community-contributed GitHub Copilot customizations — reusable agents, file-scoped instructions, skills, plugins, hooks, and agentic workflows — installable via the Copilot CLI and searchable on a companion site.
A toolkit and open-weights system for real-time streaming music generation — offers two model sizes (230M / 2.4B), a Python inference library (JAX/MLX), and a C++ engine optimized for Apple Silicon for embedding into DAWs and apps; real-time streaming requires M‑series chips.
GPU-accelerated, non-destructive RAW photo editor designed for fast, low-footprint desktop workflows (<20MB). Built with Rust/WGPU/Tauri, it offers real-time 32-bit GPU processing, AI-assisted masking and optional ComfyUI integration for generative edits, plus presets and batch export.
Orchestrates 10+ coding agents (Claude Code, Codex, Gemini CLI) from a kanban board: plan tasks as issues, then run each in an isolated workspace with its own branch, terminal, and dev server. Inline diff review and one-click PR creation.
Demonstrates orchestration of specialist customer-service agents built with the OpenAI Agents SDK, pairing a Python backend for agent logic with a Next.js UI (ChatKit) to visualize routing, guardrails, and demo flows. Useful for prototyping multi-agent customer-service workflows; uses mock flight data and requires an OpenAI API key.
Forwards local terminal sessions to any web browser, so you can watch and steer long-running CLI processes — including AI coding agents like Claude Code — from a phone or another machine. A macOS menu-bar app proxies PTY output over WebSocket.
A code-first collection of runnable tutorials for building production-ready generative-AI agents — step-by-step guides covering stateful workflows, vector memory, RAG, tool integrations, Docker/AWS/RunPod deployment, security guardrails, observability, and multi-agent patterns.
Trains and optimizes AI agents with reinforcement learning using almost zero code change. Works with any agent framework (LangChain, OpenAI Agents SDK, AutoGen, CrewAI) or none, and can selectively optimize a single agent inside a multi-agent system.
Provides a terminal REPL that gives AI coding agents a persistent, structured context memory (a versionable context tree) which can be synced across machines. Distinguishes itself with local-first TUI workflows, Git-like versioning for knowledge, and broad multi-LLM and agent tool integrations; source-available under Elastic License 2.0.
A Tauri desktop GUI for Claude Code: browse and resume past sessions, build reusable agents with scoped permissions, and track token spend per project. Adds checkpoint branching and visual MCP server management, with all data kept locally and no telemetry.
Timeline-based video editor for web, desktop and mobile that integrates AI-assisted workflows (MCP server and generative-model integrations) with a Rust core and plugin-first, cross-platform architecture; supports headless batch rendering and no-watermark exports.