Break market themes into supply-chain bottlenecks and prioritize stocks or funds for research.
Project overview
Serenity.skill guides an agent through supply-chain research for themes such as AI, semiconductors, and robotics. It maps demand and industry layers, looks for bottlenecks with limited suppliers, difficult capacity expansion, or long qualification cycles, then checks filings, financial reports, customers, capacity, and risks. The output is a prioritized list of companies or fund directions with an evidence trail and follow-up checks. It is strictly a research aid: it does not execute trades, promise returns, or replace the user's final investment decision.
MCP serverAI and agent developmentModel Context Protocol
mcp-server-browserbase
@browserbase·TypeScript
Let MCP assistants navigate, act on, observe, and extract data from web pages.
Project overview
Browserbase MCP Server gives compatible assistants a small set of tools for starting cloud browser sessions, navigating pages, performing actions, observing interactive elements, and extracting information. The hosted HTTP endpoint is the easiest setup, while self-hosted deployments can run through NPM or Docker. These deployments still require a Browserbase API key and project ID, and choosing a model other than the default also requires that provider's API key.
Desktop appDesign and creative workModel Context Protocol
LichtFeld-Studio
@MrNeRF·C++
Train, edit, automate, and export Gaussian Splatting scenes in one workstation.
Project overview
LichtFeld Studio combines 3D Gaussian Splatting training, real-time inspection, selection editing, and export in one native workstation. Users can train from COLMAP datasets, resume checkpoints, transform Gaussian subsets with history support, and deliver PLY, SOG, SPZ, or a standalone HTML viewer. Python plugins, embedded scripts, and MCP tools support extension and automation. Prebuilt distribution focuses on Windows and NVIDIA GPUs. Source builds use C++23 and CUDA 12.8 or newer, while current Windows builds also require a recent NVIDIA driver.
Build multi-agent, sandbox, and realtime voice workflows in JavaScript
Project overview
The OpenAI Agents SDK organizes agent workflows around tools, guardrails, handoffs, sessions, and tracing. It also includes sandbox agents for filesystem work and realtime agents for low-latency voice interactions, with support for Node.js, Deno, and Bun. Sandbox agents are marked beta, and browser voice sessions should use a server-created ephemeral client token rather than exposing a long-lived API key.
Use Discord with built-in themes, mods, tracker blocking, and Rich Presence.
Project overview
Legcord packages the Discord web app as a standalone desktop client with built-in access to mods such as Vencord, Equicord, and Shelter, plus management for BetterDiscord themes. It also blocks Discord trackers and supports Rich Presence out of the box. The client is still a customized Electron web wrapper and is neither affiliated with nor endorsed by Discord.
Store Garmin health history in InfluxDB and visualize long-term trends with Grafana.
Project overview
garmin-grafana is a self-hosted Docker setup that fetches data from Garmin Connect, stores it in InfluxDB, and presents long-term health trends through Grafana dashboards. It supports periodic collection, rate-limited historical backfills, imports from Garmin export files, and CSV exports for separate analysis. Running it requires Docker and a valid Garmin login session. Garmin Connect does not expose watch battery levels to this setup, so that metric needs a separate Home Assistant-based workaround.
Build desktop, web, and Jupyter interfaces in pure Python
Project overview
Flexx is a pure-Python GUI toolkit that renders interfaces with web technology and uses PScript to generate the required browser-side JavaScript. Developers can target cross-platform desktop applications, web applications, standalone HTML documents, and Jupyter notebooks with the same toolkit. It requires Python 3.5 or newer; desktop mode also needs Firefox or NW.js, and projects should keep regular Python and PScript code clearly separated.
Collection or directoryImage generation and editingCodex
agent-sprite-forge
@0x0funky·Python
Generate game-ready sprites, layered maps, and engine handoff assets.
Project overview
Agent Sprite Forge turns natural-language requests into a structured 2D game-asset workflow. An agent generates raw visuals, then local processors remove backgrounds, split frames, validate results, and export PNGs, sprite sheets, GIFs, layered maps, and scene data for Godot, Unity, or other 2D projects. Standard sprite and map skills require built-in image generation. The denser video-to-sprite workflow depends on Grok Build's image-to-video tools, though exported frames can be reprocessed locally with ffmpeg and Pillow.
Build collaborative multi-agent systems in Python or TypeScript.
Project overview
BeeAI Framework supplies Python and TypeScript components for agents, multi-agent handoffs, model backends, tools, and RAG, helping developers assemble applications that reason, act, and collaborate. Requirements can constrain agent behavior consistently across different models, while MCP, ACP, and custom tools extend the system. Examples work with hosted providers and can also run locally through Ollama.
Run and switch between coding agents from one terminal UI
Project overview
Toad combines a traditional shell with a terminal UI for working with coding agents such as Claude, Gemini, and Codex. Its agent catalog lets you find, install, and run compatible tools from one interface, while Agent Client Protocol support gives developers a way to add more agents.
Review and improve SwiftUI code with focused best-practice guidance for coding agents.
Project overview
Give an Agent Skills-compatible coding tool practical SwiftUI guidance for state management, view composition, performance, layout, animation, accessibility, charts, lists, and image handling. The skill also covers adopting Liquid Glass on iOS 26 and later, and can be installed through the skills CLI, Claude Code, Cursor, or a manual skill-directory setup.
Maintain and search one Obsidian knowledge base across several coding agents.
Project overview
obsidian-second-brain turns an Obsidian vault into a shared working memory for Claude Code, Codex, Gemini CLI, OpenCode, Hermes, and Pi. Its commands can save conversations, ingest URLs or files, update related notes, synthesize themes, reconcile contradictions, and search the vault. Installation is platform-specific and requires pointing the agent to the vault; some research, calendar, and background workflows also depend on external services or capabilities that are not available in every supported runtime.
Use Figma as an unofficial standalone desktop application on Linux.
Project overview
Figma Linux wraps Figma in an unofficial Electron desktop application for Linux users who prefer launching it as a dedicated app instead of an ordinary browser tab. Installation options cover Snap, AppImage, Debian and RPM packages, AUR, Ubuntu PPA, and NixOS. Users of the Snap build need an additional symbolic link if they want the application to access fonts stored in their local user font directory.
grok-cli connects a terminal coding agent to xAI’s Grok API, with web and X search, sub-agents, and Telegram control while the CLI keeps running. It offers an interactive terminal UI plus a headless prompt mode. A Grok API key is required, and the community project is not affiliated with or endorsed by xAI.
Organize GitHub stars, find repositories semantically, and track new releases.
Project overview
GithubStarsManager syncs starred repositories, generates AI summaries and categories, and helps recover projects through filters, keywords, or vector-based semantic search. It can also track releases, filter and copy links for downloadable assets, and browse trending repositories. The app works with local browser storage alone or an optional backend for cross-device sync; AI providers, WebDAV, and network proxies are configured by the user.
Ask questions across long videos with multimodal retrieval and scene-level context.
Project overview
VideoRAG is an open-source framework for retrieving and answering questions over long-form video, with the Vimo desktop interface for importing one or more videos and chatting about their contents. It also includes the LongerVideos benchmark and evaluation code for researchers working on long-context video understanding. Prebuilt Vimo downloads are still marked as coming soon, so current users generally need to start the Python backend and Electron frontend from source.
Launch a pre-wired local LLM stack and supporting services with one command.
Project overview
Harbor is a CLI and companion app that assembles local model backends, chat interfaces, and supporting services through preconfigured Docker Compose integrations. Users choose components such as Ollama, llama.cpp, vLLM, Open WebUI, SearXNG, speech, or image tools and start them together with a single command, while Harbor centralizes configuration and logs. It is intended as a local LLM development and experimentation environment rather than a production deployment platform.
Build an AI agent gateway from scratch through ten runnable Python lessons.
Project overview
Learn how an agent gateway grows from a basic model loop into a routed, proactive, and resilient system. Ten progressive Python sections add tool use, sessions, Telegram and Feishu channels, routing, memory, cron work, durable delivery, retries, and concurrency, with matching English, Chinese, and Japanese code and documentation.