Search Results for "claude code" - Page 10
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Showing 348 open source projects for "claude code"
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Archify
Agent skill for beautiful, verifiable architecture, workflow
Archify is an agent skill and rendering system for turning codebases or system descriptions into polished technical diagrams. It works with coding agents such as Claude Code, Codex CLI, Cursor, and OpenCode. Agents generate typed JSON representations that Archify deterministically compiles into self-contained HTML and SVG. It supports architecture, workflow, sequence, data-flow, and lifecycle diagrams. Interactive viewers provide search, route tracing, upstream and downstream exploration, guided stories, themes, and presentation controls. ... -
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Anthropic SDK TypeScript
Access to Anthropic's safety-first language model APIs
anthropic-sdk-typescript is the TypeScript / JavaScript client library for the Anthropic REST API, enabling backend or Node.js usage of models like Claude. It wraps API endpoints for creating messages, streaming responses, and managing parameters in a type-safe TS environment. The library is designed for server-side use, interfacing with REST, and is stable for integration in web services or backend agents. Example usage shows how to instantiate the Anthropic client, call... -
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Raven
Self-evolving multi-agent ecosystem for all-domain collaboration
Raven is a pre-alpha multi-agent orchestration system that coordinates specialized agents through one persistent workspace. It ships with built-in agents for research, coding, visual design, and supervision of long-running jobs. Raven can also orchestrate third-party agents such as Claude Code, Codex, OpenCode, GitHub Copilot, Pi, and others. Its runtime is powered by EverOS, allowing user context, agent experience, and reusable knowledge to persist across sessions. The system can generate task graphs, delegate work, combine results, and evolve tools, skills, and workflows over time. Raven supports a terminal interface, web UI, plugins, provider routing, and self-hosted deployment. ... -
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Plannotator
Annotate and review coding agent plans visually, share with your team
Plannotator is an interactive plan review and annotation tool built to support AI coding agents, offering a visual UI for markup, refinement, and team collaboration around agent-generated plans. It allows developers to annotate proposed plans, sketches, and outlines from tools like Claude Code or OpenCode with pen tools, arrows, and highlighting, seamlessly capturing feedback that can be shared across teams or pushed back to agents. Plannotator integrates with diff views so reviewers can annotate changes line-by-line in git diffs, provide structured feedback, and navigate plans visually rather than through raw text alone. ... -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Godot MCP
MCP server for interfacing with Godot game engine
...It acts as a bridge between AI systems and the Godot editor, providing capabilities such as launching projects, running games in debug mode, and capturing runtime output for analysis. The tool is particularly valuable for AI-assisted game development, as it creates a feedback loop where agents can execute code, observe results, and iteratively improve their outputs. It also includes advanced features for manipulating scenes, managing assets, and editing project structures, making it possible to automate large portions of the development process. By exposing Godot functionality through a standardized MCP interface, it ensures compatibility with various AI clients such as Claude Code or Cursor. -
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gstack
Use Garry Tan's exact Claude Code setup: 15 opinionated tools
gstack is an opinionated developer toolkit that encapsulates a complete AI-assisted software development workflow by combining multiple specialized roles into a unified command-driven interface. It is designed to replicate a highly structured engineering environment where tasks such as planning, design review, quality assurance, release management, and documentation are handled through predefined commands and workflows. The system includes a set of curated tools that simulate roles like CEO,... -
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Vulnhuntr
AI tool for detecting complex vulnerabilities in Python codebases
Vulnhuntr is an open source security tool that uses large language models to analyze codebases and identify remotely exploitable vulnerabilities. It focuses on Python projects and applies static code analysis combined with LLM reasoning to trace how user input flows through an application. Instead of scanning entire repositories at once, it builds call chains step by step, allowing deeper inspection of complex, multi-stage issues that traditional tools may miss. Vulnhuntr can generate... -
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QM
Multiplayer agent harness for work
...The same agent identity and configuration can operate through Slack or the web interface. Teams can choose among supported models and harnesses, including Pi, OpenCode, Codex, and Claude Code, without binding the deployment to one vendor. Administrators control organization settings, available models, shared skills, and security posture. Scheduled jobs and watches let agents continue background work when no user is present. QM can search company information, maintain projects, build internal apps, work in repositories, and publish results to selected users. -
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SkillSpector
Security scanner for AI agent skills
SkillSpector is a security scanner built to evaluate AI agent skills before they are installed or trusted. It helps teams inspect skills used by tools such as Claude Code, Codex CLI, and Gemini CLI. The project focuses on detecting vulnerabilities, malicious behavior, and risky patterns that may be hidden inside skill files. It combines fast static checks with optional LLM-based semantic review for issues that require deeper intent analysis. It supports several input types, including Git repositories, URLs, zip files, folders, and individual files. ... -
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weixin-agent-sdk
Bridging framework for connecting arbitrary AI agents
...Developers implement an Agent interface that receives conversation identifiers, text, and optional media and returns text or media responses. An included ACP adapter can connect compatible agents such as Claude Code, Codex, and other command-line agents without custom integration code. QR-code login handles account authentication, while a message loop manages incoming and outgoing conversations. The SDK supports text, images, audio, video, files, quoted content, and voice transcription data. Bots can also proactively send messages after the required conversation context has been established. ... -
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Fresh Start
The original nirholas/claude-code before DMCA and take down
Fresh Start is a full-stack starter boilerplate designed to accelerate development of modern web applications using a clean and production-ready architecture. It combines Node.js and React into a cohesive template that includes best practices for project organization, testing, and deployment from the very beginning. The project is structured to reduce technical debt by including tools such as TypeScript, ESLint, and Prettier out of the box, ensuring code quality and consistency across teams.... -
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SuperBased
Local-first control plane for AI coding agents
SuperBased is a local-first control plane for tracking, launching, and analyzing AI coding agents across many tools. It normalizes local session data from more than 40 adapters, including Claude Code, Codex, Cursor, Gemini CLI, Copilot, and others. Its optional reverse proxy captures provider-billed token details for more accurate cost attribution. A local dashboard, CLI, MCP server, and VS Code extension expose sessions, files, tokens, costs, and runtime state. Twenty-seven supported tools can also be launched as managed terminal sessions. ... -
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How to Train Your GPT
Build a modern LLM from scratch. Every line commented
How to Train Your GPT is an interactive textbook that teaches users how to build, train, and run a modern language model from scratch. It is written for learners with minimal machine-learning background, using simple explanations, commented code, and practical examples. The project covers the same broad family of architecture behind systems such as GPT-style models, LLaMA-style models, Claude-style systems, and Mistral-style models. It includes chapters and topic explainers on tokenizers, embeddings, attention, RoPE, RMSNorm, SwiGLU, KV cache, AdamW, mixed precision, training loops, and inference. ... -
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TestSprite
AI-powered automated testing from your terminal
TestSprite is the official command-line interface for TestSprite’s AI-powered testing platform. It lets developers and coding agents run automated tests against live frontend and backend applications from the terminal. The CLI is designed as a verification layer for agentic coding workflows, so an AI agent can create tests, run them, inspect failures, fix code, and rerun checks. It returns structured failure bundles that can include failing steps, screenshots, DOM snapshots, test source,... -
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M3E Canvas
Sketch Material 3 Expressive screens in the browser
...A Tidy function automatically aligns and groups nearby elements using Material-style spacing. Designs can be exported as PNG images or copied as prompts for tools such as Claude Code, Codex, Gemini CLI, and Cursor. Optional AI helpers can generate behavior notes and screen descriptions while keeping provider keys in the browser. Projects are stored locally and can also be shared through links. -
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Pi MCP Adapter
Token-efficient MCP adapter for Pi coding agent
...Servers are started lazily, which avoids running integrations that a session never uses. The adapter automatically recognizes standard project and user MCP configuration files and can help import compatible configurations from tools such as Cursor, Claude Code, and Codex. An interactive setup flow shows discovered servers, configuration sources, conflicts, and proposed file changes before applying them. This approach preserves access to database, browser, API, and other MCP integrations while keeping Pi's working context substantially smaller. -
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GLM-4.7
Advanced language and coding AI model
...It delivers significant gains over GLM-4.6 in multilingual agentic coding, terminal-based workflows, and real-world developer benchmarks such as SWE-bench and Terminal Bench 2.0. The model introduces stronger “thinking before acting” behavior, improving stability and accuracy in complex agent frameworks like Claude Code, Cline, and Roo Code. GLM-4.7 also advances “vibe coding,” producing cleaner, more modern UIs, better-structured webpages, and visually improved slide layouts. Its tool-use capabilities are substantially enhanced, with notable improvements in browsing, search, and tool-integrated reasoning tasks. Overall, GLM-4.7 shows broad performance upgrades across coding, reasoning, chat, creative writing, and role-play scenarios. -
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Agent Skills
Skills for AI coding agents
...In this repository, each skill adheres to the Agent Skills specification, meaning they’re defined as folders with a SKILL.md file (containing task descriptions and step-by-step guidance) and can include helper scripts and reference material that the agent can execute or consult when invoked. The goal of the project is to make it easy for AI assistants like Claude Code, OpenCode, Cursor, Codex, and others that support this open ecosystem to automatically apply best practices or perform concrete actions when a relevant user intent is detected. For example, some skills guide the agent in applying React and Next.js performance best practices, auditing UI and accessibility standards. -
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BrowserSkill
Let AI agents use your real, logged-in browser
BrowserSkill is a local browser-automation bridge that lets AI agents work inside a user’s existing logged-in Chromium browser. It connects tools such as Claude Code, Codex, Cursor, Pi, Hermes Agent, and other shell-capable agents through the bsk CLI and a browser extension. Automated tasks run in a separate visible Agent Window so normal browsing can continue independently. Existing user tabs can be borrowed only through an explicit handoff workflow and returned afterward. Human intervention is supported for CAPTCHA, login, confirmation, and other steps that require manual action. ... -
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Weave Router
Model router for agentic systems
...Provider credentials remain local in self-hosted deployments and can be encrypted at rest. Built-in observability exposes routing decisions, costs, and OTLP traces through a dashboard or external monitoring tools. It integrates with Claude Code, Codex, OpenCode, Pi, Cursor, and custom applications. -
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Antigravity Awesome Skills
The Ultimate Collection of 700+ Agentic Skills for Claude Code
Antigravity Awesome Skills is a playful yet practical repository that curates a set of clever, expressive, and sometimes whimsical AI agent skill templates designed to help users bootstrap agent behavior quickly. Rather than focusing on production-grade systems, it provides creative and high-impact skills that demonstrate how agents can be used to automate tasks, generate content, assist with daily operations, or integrate into larger workflows with minimal configuration. The project... -
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MedgeClaw
Open-source AI research assistant for biomedicine
MedgeClaw is a specialized AI-powered research assistant tailored for biomedical and scientific workflows, built on top of OpenClaw and Claude Code architectures. It integrates a large library of domain-specific skills, enabling it to perform complex analyses in areas such as genomics, drug discovery, and clinical research. The system connects conversational interfaces with computational environments, allowing users to initiate research tasks through messaging platforms while the backend executes analyses using tools like R and Python. ... -
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Get Shit Done
A light-weight and powerful meta-prompting, context engineering
Get Shit Done is a high-impact, open-source meta-prompting and spec-driven development system designed to streamline building software with AI assistants like Claude Code, OpenCode, and Gemini CLI. It solves “context rot” — the degradation of AI quality as a chat session grows — by structuring your idea into precise, context-engineered steps that are researched, scoped, planned, executed, and verified with clear commands and outputs instead of ad-hoc prompts. The project emphasizes simplicity and effectiveness over bureaucratic workflows like story points, sprint ceremonies, or enterprise processes, making it especially useful for solo developers or small teams aiming to get reliable execution without overhead. ... -
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Swift Concurrency Agent Skill
Add expert Swift Concurrency guidance to your AI coding tool
Swift Concurrency Agent Skill is an open-source “agent skill” designed to give AI coding assistants deep expertise in Apple’s Swift Concurrency model, including async/await, structured concurrency, task groups, actors, and thread safety. It is formatted according to the Agent Skills specification so that tools like Claude Code, Cursor, Copilot, and other LLM-powered systems can load it and apply guidance when relevant. The skill codifies practical best practices for writing efficient, safe, and modern concurrent Swift code and outlines how to modernize existing legacy code toward Swift 6 conventions. Rather than teaching basic Swift, it targets the nuanced behaviors of concurrency primitives, actor isolation, and safety annotations like @MainActor and Sendable. ... -
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Skills for coding agents
Skills for coding agents
...The catalog includes tools for visual planning, visual PR recaps, agent audits, plan comparison, autonomous execution, model orchestration, usage-limit management, final status recaps, and documentation-first development. Installation is handled through an interactive CLI that can configure skills for multiple agent environments. It also supports managed instruction files, Claude Code skill paths, shared agent folders, and an optional GitHub Action for visual PR recaps.
