MemPalace is a local-first AI memory tool designed to store conversation history verbatim and retrieve it through semantic search, without summarizing or paraphrasing. It utilizes a structured index, categorizing information into "wings," "rooms," and "drawers" to enable scoped searches. The retrieval layer is pluggable (ChromaDB by default), ensuring all data remains on the user's machine unless opted out. It achieves an impressive 96.6% R@5 raw recall on the LongMemEval benchmark, notably without requiring LLMs or API calls, showcasing high performance in a local environment.
Claude Context is an MCP (Model Context Protocol) plugin developed by Zilliztech, designed to provide deep code context to Claude Code and other AI coding assistants. It leverages semantic search to efficiently retrieve relevant code snippets from entire codebases, injecting them directly into the AI's context. This approach addresses the limitations of context windows and high costs associated with large codebases by storing the codebase in a vector database for efficient management and cost-effectiveness.
Everything Claude Code is a performance optimization system for AI agent harnesses, developed by an Anthropic hackathon winner. It offers a complete agent ecosystem including production-ready skills, instincts, memory optimization, continuous learning, security scanning, and research-first development. The system supports various major AI agent harnesses like Claude Code, Codex, Cursor, OpenCode, and Gemini, and has been iterated and validated through over 10 months of intensive daily use. It features a Tkinter-based desktop dashboard and supports multi-language rules and agents.
TuriX-CUA by TurixAI is an AI-driven desktop automation agent that enables powerful AI models to perform real, hands-on actions directly on your desktop. It features a state-of-the-art computer-use agent (CUA), achieving an 80% success rate on OSWorld-style Mac benchmarks. TuriX is 100% open-source and free for personal and research use, allowing users to swap in their own models. The latest TuriX SuperPower combines CUA and CLI workflows for everyday office and coding automation, facilitating a continuous flow between GUI actions and CLI precision.
AgentScope is a production-ready multi-agent framework designed to simplify the development of LLM-powered applications. It provides high-level abstractions for agent communication, memory management, and tool usage. Rather than using restrictive prompts, AgentScope leverages the inherent reasoning and tool-use capabilities of LLMs. Key features include Real-time Voice, Human-in-the-loop steering, Agentic RL for model tuning, and support for MCP and A2A protocols. It is engineered for scalability, supporting local, serverless, and K8s deployments with integrated OTel monitoring for enterprise-grade observability.
awesome-mcp-servers, curated by punkpeye, is a comprehensive list and web directory of Model Context Protocol (MCP) servers. MCP is an open protocol that allows AI models to securely interact with local and remote resources through standardized server implementations. This product features a wide array of production-ready and experimental MCP servers that extend AI capabilities via file access, database connections, API integrations, and other contextual services. It categorizes servers by function (e.g., aggregators, databases, file systems, automation tools) and provides details on programming languages, scope (cloud or local), and supported operating systems, helping users discover and select appropriate AI agent services.
oh-my-pi (omp) is a highly capable, open-source AI coding agent featuring deep IDE integration, built primarily in Rust. Forked from Mario Zechner's Pi, it bridges the gap between LLMs and local environments. It stands out by providing persistent Python and Bun tool-calling kernels, native Language Server Protocol (LSP) integration for exact refactoring, and real DAP debugger attachment (lldb, dlv, debugpy). Additionally, omp introduces 'Hashline' for precise edits, time-traveling stream rules for instant course-correction, and first-class subagent orchestration. Operating natively across macOS, Linux, and Windows, it serves as a comprehensive, out-of-the-box coding assistant.
GitNexus is an innovative zero-server code intelligence engine designed to significantly enhance AI agents' code understanding and analysis capabilities. It indexes any codebase into a detailed knowledge graph, exposing deep structural information such as dependencies, call chains, module clusters, and execution flows. Leveraging its core local CLI and Multi-Protocol Communication (MCP) framework, GitNexus provides mainstream AI agents like Cursor, Claude Code, and Codex with an unparalleled architectural view and rich context, boosting their reliability and accuracy in code exploration, debugging, refactoring, and generation tasks. A convenient browser Web UI is also available for quick exploration, alongside enterprise SaaS and self-hosted deployment options.
mcp-use is a fullstack MCP framework designed to build interactive MCP Apps and Servers for AI Agents like ChatGPT and Claude. It provides TypeScript and Python SDKs, enabling developers to create 'write once, run everywhere' UI widgets. The ecosystem includes an integrated MCP Inspector for debugging and Manufact MCP Cloud for production deployment with full observability, metrics, and logs, simplifying the creation of interactive AI components.
Desktop Commander MCP is a versatile Model Context Protocol (MCP) server that integrates professional development tools into AI interfaces. It empowers AI to manage files, execute long-running terminal commands, and handle background processes. Key features include deep support for Excel/PDF/DOCX, in-memory code execution (Python, Node.js, R), and visual file previews. Built with security in mind, it offers Docker isolation and remote control capabilities, transforming standard AI interactions into a comprehensive, automated local development environment.
drawio-mcp is the official draw.io Model Context Protocol (MCP) server, designed to empower Large Language Models (LLMs) to efficiently generate and edit diagrams. It offers four flexible integration methods: the MCP App server enables inline interactive diagram previews within AI chat interfaces; the MCP Tool server allows direct opening and editing of diagrams in the draw.io editor; the Skill + CLI solution generates local `.drawio` files with multi-format export; and Project Instructions facilitate easy draw.io URL generation via Python. Featuring a powerful built-in shape search tool and a unified XML reference, drawio-mcp significantly enhances AI assistants' visual communication capabilities and streamlines diagram creation across diverse workflows.
UI-TARS-desktop is an open-source native desktop application developed by Bytedance, providing a powerful GUI Agent based on the UI-TARS multimodal model. It enables AI to perceive and interact with graphical user interfaces just like a human, supporting both local and remote computer/browser operations. Built on the Model Context Protocol (MCP), it integrates seamlessly with real-world tools. The app features a redesigned UI and leverages the UI-TARS-1.5 model for high-precision vision-based control and task automation.
An AST-based semantic code search tool powered by the high-performance CocoIndex Rust engine. It provides precise code retrieval by understanding code structure rather than text snippets, reducing token usage by 70%. It integrates seamlessly as a Skill or MCP server for agents like Claude Code and Cursor. Featuring zero-config setup and support for both local and cloud embeddings, it enables efficient semantic search within CLI and modern AI coding environments.
Peekaboo is a macOS GUI automation tool that combines high-fidelity screen capture and AI analysis to execute natural language-driven agent flows. It operates as both a native CLI and an MCP server, offering pixel-accurate captures, direct accessibility element interactions, and seamless multi-provider AI integration.
TrendRadar is a lightweight, open-source hotspot assistant designed for rapid deployment. It aggregates real-time news via RSS and APIs, using AI for intelligent filtering based on natural language interests, automated translation, and trend summarization. It supports one-click notifications to over 9 platforms, including WeChat, Lark, and Telegram. With deep MCP (Model Context Protocol) integration, it enables AI agents to access and analyze live news data seamlessly, offering a professional HTML reporting interface and cross-platform notification adaptations.
This is an unofficial Chinese localized guide for Claude Code, forked and rewritten from the upstream project 'luongnv89/claude-howto'. It aims to help Chinese users progress from basic operations to mastering advanced Claude Code features, such as the combined use of slash commands, memory, skills, hooks, MCP, subagents, and plugins. The guide rephrases explanations, addresses common obstacles for Chinese users, and preserves key executable identifiers to ensure compatibility, providing a practical learning path for Claude Code.
Obscura is a high-performance headless browser engine built in Rust, optimized for AI agents and web scraping. It embeds the V8 engine directly and supports the Chrome DevTools Protocol (CDP), serving as a drop-in replacement for Puppeteer and Playwright. It features a minimal footprint (~30MB memory), built-in stealth mode for anti-fingerprinting, and native Model Context Protocol (MCP) support, enabling seamless integration into AI agent ecosystems like Claude and Cursor for automated browsing tasks.
neuDrive is a personal hub for AI identity, memory, and trust. It serves as a central interface for various agents like Claude, ChatGPT, and Cursor to share profile data, preferences, and skills without rebuilding context on every platform. It features cross-platform connections via MCP, secret vault management, and agent collaboration. Users can choose between a hosted service at neudrive.ai or a self-hosted deployment with private GitHub backup support.
code-review-graph is an AI-assisted code review tool that builds a structural map of code using Tree-sitter and incrementally tracks changes to provide precise context to AI assistants via the Model Context Protocol (MCP). This approach significantly reduces token consumption by enabling AI models to read only the minimal set of files relevant to a change, rather than the entire codebase. It aims to solve the token waste problem in large repositories and monorepos, improving the efficiency and quality of AI code reviews.
Semble is a fast, CPU-only code search library by MinishLab designed specifically for AI agents. It efficiently retrieves relevant code snippets via natural language queries, reducing token usage by ~98% compared to traditional grep-and-read methods. Requiring no API keys, GPUs, or external services, it indexes and queries codebases locally in milliseconds, achieving near-transformer retrieval accuracy. It functions seamlessly as an MCP server for instant integration with Claude Code, Cursor, and other agent workflows.
Ouroboros is a local-first Agent OS for AI coding that transforms non-deterministic agent tasks into replayable, specification-first workflows. Replacing ad-hoc prompting, it implements a structured evolutionary loop: Socratic interview to expose assumptions, immutable seed crystallization, double-diamond execution, and evaluation. It integrates seamlessly with CLI tools like Claude Code, GitHub Copilot, and Gemini via MCP, featuring a 3-stage automated evaluation gate to ensure verified codebases.
Open Multi-Agent is a lightweight, TypeScript-native multi-agent orchestration framework. By simply providing a goal, its built-in coordinator automatically decomposes the goal into a task DAG, parallelizes independent steps, and synthesizes the final output. With only 3 runtime dependencies, it seamlessly drops into any Node.js backend. Key features include mixing over 12 LLM providers within a single team, a sandboxed filesystem workspace, pluggable shared memory, and native integration with the Model Context Protocol (MCP) for tool extensibility.
CC Switch is an all-in-one desktop manager built with Tauri 2, specifically designed for Claude Code, Codex, Gemini CLI, OpenCode, and OpenClaw. It provides a unified GUI to streamline the installation, configuration, and management of various AI coding agents. By enabling one-click switching between API relay providers and model environments, it optimizes developer workflows across Windows, macOS, and Linux, serving as a critical infrastructure tool for the OpenClaw ecosystem.
Official collection of skills for Claude, providing document processing, coding, and creative capabilities for AI agents.
A registry for AI assets like MCP servers and prompts, enabling agents to search and install skills.
A structured collection of 100+ ready-to-use Claude Skills for AI agents, development, and research, with MCP server support.