claude-code Tools

Cindy is an open-source AI agent that integrates multiple AI models and harnesses into a single, ready-to-use system. It solves the problem of fragmented AI tools by providing a unified agent that can switch between models and harnesses mid-task without losing context, enabling real work completion in projects and apps. It's designed for developers and teams who need a powerful, configurable, and continuous AI assistant that is both immediately usable and adaptable over time.

Claude-howto is a visual, example-driven curriculum that teaches you Claude Code from basics to advanced agents. It solves the problem of fragmented, theoretical documentation by providing a guided learning path with copy-paste templates that deliver immediate value. It's for developers and engineers who want to move from typing commands to orchestrating agents, hooks, and MCP servers efficiently.

Agents is a multi-harness plugin marketplace for AI coding tools like Claude Code, Cursor, and GitHub Copilot. It solves the problem of fragmented, tool-specific agent ecosystems by providing a central hub for discovering and using skills across different platforms. This project is for developers and teams who use multiple AI coding assistants and want a consistent, extensible set of capabilities available everywhere they work.

AAS Core is a local control plane that puts you in control of AI agent automation. It solves the problem of blind trust by letting your agent discover and select from 2,600+ skills, while you inspect, validate, and approve the final execution plan before any changes are made. It's for developers and teams using AI agents like Claude Code who want to leverage powerful automation while maintaining oversight and safety in their projects.

Graphify transforms any codebase—including its docs, SQL schemas, configs, and PDFs—into a deterministic, queryable knowledge graph. It solves the problem of fragmented, hard-to-navigate software knowledge by creating a single, persistent map of all code and documentation, enabling engineers to get evidence-backed answers and see the impact of changes instantly. It's built for developers and teams in regulated or complex environments who need auditable understanding and want to run the parsing engine fully on-device, without uploading code or relying on vector stores.

Headroom is a context optimization layer that compresses tool outputs, logs, files, and RAG chunks before they reach an LLM. It solves the problem of high token costs and slow response times caused by verbose agent outputs and retrieved data. It's for developers and teams building AI agents, coding assistants, and RAG applications who want to reduce costs and latency without changing model behavior.

cmux is a free, open-source terminal for macOS built on Ghostty's rendering engine. It solves the problem of terminal clutter and context switching by providing vertical tabs with git status, notification rings for AI agents, and an in-app browser. It's designed for developers and engineers who multitask with coding agents, need to manage multiple sessions, and want a programmable, native terminal experience.

pstack-claude provides rigorous, multi-agent workflow implementations of Poteto's pstack methodology, translated for Claude, Codex, Pi, and other major AI coding assistants. It solves the problem of vendor lock-in and inconsistent agent behavior by offering standardized, high-quality workflows across different AI harnesses. This repository is for developers and teams who want reliable, reproducible AI-assisted coding patterns that work seamlessly whether they're using Claude, Gemini, GitHub Copilot, or other AI coding tools.

OpenRig is a multi-agent harness that orchestrates Claude Code, Codex, and Pi to work together as a coordinated team. It solves the problem of managing complex, long-term coding projects by delegating specialized tasks to different AI agents, tracking their work, and consolidating results. It's designed for developers and teams who need to tackle large-scale software projects that require sustained, collaborative effort over weeks or months.

codebase-memory-mcp is an MCP server that indexes repositories into a persistent knowledge graph of functions, classes, and dependencies. It solves the problem of AI agents inefficiently reading files one-by-one, enabling structural queries with ~120x fewer tokens. It's for developers and teams using AI coding assistants like Claude Code who need fast, local, and deep codebase understanding.

Claude Code Templates is a CLI tool and component library that provides ready-to-use configurations and templates for Claude Code projects. It solves the problem of repetitive setup and configuration by offering a curated marketplace of components, skills, agents, and integrations that developers can easily add to their stack. It's designed for developers and teams using Claude Code who want to accelerate project setup, standardize configurations, and leverage community-vetted tools and workflows.

Oh My Hermes is a comprehensive plugin suite that adds intelligent routing, long-term memory, and optimized workflows to the Hermes Agent coding assistant. It solves the problem of managing multiple AI models and executors by providing a unified, configurable layer that orchestrates tasks to the right tool based on your setup and preferences. It's for developers and teams who use Hermes Agent professionally and want to maximize its efficiency with model pooling, skill packages, and executor-neutral contracts.

Agent Skills is a secure, validated registry of specialized workflows and tool integrations for professional AI coding agents like Antigravity, Claude Code, and Cursor. It solves the problem of unreliable, unvetted, or insecure agent extensions by providing a curated collection of skills that developers can trust. This platform is for developers and engineering teams who use AI coding assistants and want to safely extend their capabilities with domain expertise, proven patterns, and secure integrations.

Worktrunk is a CLI for Git worktree management, designed for parallel AI agent workflows

This repository is a curated collection of extracted system prompts from leading AI models like Anthropic's Claude, OpenAI's ChatGPT, Google's Gemini, and others. It addresses the problem of opaque AI behavior by revealing the foundational instructions that guide these systems, providing transparency for researchers, developers, and enthusiasts. The collection is regularly updated, serving as a valuable resource for anyone interested in understanding, comparing, or reverse-engineering how these AI models are fundamentally directed to operate.

HyperResearch is an agent-driven knowledge base that automates the research process. It deploys AI agents to continuously collect, search, and synthesize information from the web, organizing findings into a persistent, searchable wiki. This solves the problem of manual, time-consuming research compilation and information fragmentation. It's designed for researchers, analysts, product teams, and anyone who needs to maintain a dynamic, up-to-date knowledge base from diverse online sources.

OmniRoute is an open-source AI gateway that provides a single OpenAI-compatible endpoint to access over 350 providers and 1200+ models, including many free options. It solves the problem of vendor lock-in and high costs by automatically routing requests to the cheapest or most available provider with quota-aware fallback. It's built for developers using AI coding assistants like Cursor, Copilot, and Claude Code who want maximum flexibility, reliability, and token savings.

Context window optimization for AI coding agents. Sandboxes tool output (98% reduction), persists session memory, and enforces routing across 17 platforms via MCP + hooks.

Humanizer is an agent skill that transforms AI-generated writing by removing robotic patterns and unnatural phrasing. It solves the problem of content that feels artificial, helping writers, marketers, and developers produce text that resonates with human readers. This tool is ideal for anyone using AI assistants who needs polished, natural-sounding output for blogs, emails, or communications.

Atlas is a native macOS editor built to manage the work around coding—research, planning, and knowledge—alongside the AI agent threads that turn them into commits. It solves the problem of fragmented workflows by providing a unified planning surface where teams of humans and multiple AI agents can collaborate efficiently. It's for developers and engineering teams who use AI coding assistants like Claude, Codex, and Gemini and want to coordinate their work in a single, local-first application.

Academic Research Skills is a suite of open-source AI tools designed for academic researchers. It solves the problem of navigating the complex research-to-publication process by providing structured guidance through research, writing, peer review simulation, and revision. It's built for students, scholars, and academics who want to enhance their workflow with AI assistance while maintaining research integrity and receiving Socratic coaching.