Open-source AI leaderboard

AI Trending

Star-growth leaderboards for open-source AI projects — daily, weekly, and monthly.

Updated 10-18 12:00 · ranked by stars gained this month

Python 73,617 stars +40,333 this month

debpalash/VoiceStudio

VoiceStudio is the open-source, fully-local ElevenLabs alternative — voice cloning, voice design, video dubbing, dictation, transcription & audiobook creation in 646 languages.

Overview: VoiceStudio is an open-source, fully-local alternative to ElevenLabs, offering voice cloning, voice design, video dubbing, dictation, transcription, and audiobook creation in 646 languages. It is designed to run on local hardware, providing a range of features without the need for remote services. Key features: - Voice cloning and design - Video dubbing with timed speech - Local API and model management Tech stack: Python, Electron Why it matters: VoiceStudio provides a privacy-focused, local-first solution for voice-related tasks, eliminating the need for cloud services and reducing data privacy concerns.

TypeScript 95,556 stars +24,786 this month

stablyai/orca

Orca is the place for working with a fleet of agents (e.g. Grok Bot, Claude Code). Run any coding agent with your own subscription. Available on desktop, mobile and remote runtime.

Overview: Orca is an AI orchestrator designed for efficient and parallel coding with multiple agents like Codex, ClaudeCode, and others. It supports macOS, Windows, and Linux, and offers a mobile companion app for monitoring and controlling agents on the go. Key features: - Mobile Companion for monitoring and controlling agents. - Parallel Worktrees for running multiple agents in isolated environments. - Terminal Splits with WebGL rendering for infinite splits and scrollback. - Design Mode for sending HTML, CSS, and screenshots directly to agents. - Native GitHub & Linear integration for task management. - SSH Worktrees for running agents on remote machines. - Annotate AI Diffs for reviewing and editing AI-generated code. Tech stack: TypeScript Why it matters: Orca enables developers to work more efficiently by orchestrating multiple AI agents in parallel, enhancing productivity and collaboration across different platforms.

JavaScript 282,625 stars +23,023 this month

affaan-m/ECC

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

Overview: ECC is an agent harness performance optimization system designed to enhance skills, instincts, memory, security, and research-first development for tools like Claude Code, Codex, Opencode, and Cursor. It is highly popular, with over 282,000 GitHub stars. Key features: - Performance optimization for various development tools - Security enhancements and memory management - Research-first development approach Tech stack: JavaScript, TypeScript, Python, Go, Java, Perl, Markdown Why it matters: ECC significantly improves the efficiency and security of development environments by optimizing and securing agent harness systems.

Rust 19,297 stars +17,501 this month

lexmount/moli

Best headless browser for AI agents. Lite, Fast, High-Compatibility. Built in Rust

Overview: Moli is a production-ready headless browser designed specifically for AI agents, offering on-demand layout and rendering for efficient web page fetching and automation. Key features: - On-demand layout and rendering for fast and efficient web page extraction. - Built-in support for multiple operating systems including Linux, macOS, and Windows. - Compatible with various programming languages, including Rust. - Supports the CLI, CDP, WebDriver Classic, and WebDriver BiDi for seamless integration with AI agents. Tech stack: Rust. Why it matters: Moli is optimized for AI agents, providing a lightweight resource footprint and fast performance, making it ideal for real-time web scraping and automation tasks. Repository: lexmount/moli GitHub stars: 19,263 GitHub description: Best headless browser for AI agents. Lite, Fast, High-Compatibility. Built in Rust.

Python 98,789 stars +16,458 this month

Panniantong/Agent-Reach

Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.

Overview: Agent Reach is a Python-based tool that allows AI agents to access and interact with various internet platforms via a single command-line interface (CLI), eliminating the need for API keys or fees. It supports platforms like Twitter, Reddit, YouTube, GitHub, and more. Key features: - Access and search multiple internet platforms using a single CLI - No API fees or complex configurations required - Continuous updates to handle platform changes and add new channels Tech stack: Python 3.10+ Why it matters: Agent Reach simplifies the process of enabling AI agents to interact with the internet, making it accessible and hassle-free for developers and users alike.

Python 70,716 stars +16,014 this month

rohitg00/ai-engineering-from-scratch

Learn AI Engineering! Learn it. Build it. Ship it for others.

Overview: AI Engineering from Scratch is a comprehensive, free, and open-source project that teaches users to build and deploy AI systems. It covers model internals, retrieval pipelines, and agent runtimes, with a focus on practical application and continuous improvement. Key features: - 542 lessons across 20 phases - Interactive labs and project challenges - Support for multiple programming languages including Python, TypeScript, Rust, and Julia Tech stack: Python, TypeScript, Rust, Julia Why it matters: It provides a hands-on approach to learning AI engineering, enabling developers to build and ship AI projects effectively.

Rust 82,402 stars +13,963 this month

pbakaus/impeccable

The design language that makes your AI harness better at design.

Overview: Impeccable is a design guidance tool for AI coding agents, aiming to enhance the quality of AI-generated frontend design. It provides a setup flow, 24 commands, and 59 deterministic detector rules to ensure consistent and high-quality design outputs. Key features: - One setup flow to gather and record durable product context. - 24 commands for various design tasks such as polishing, auditing, and critiquing. - 59 deterministic detector rules to ensure design consistency and quality. Tech stack: Rust Why it matters: Impeccable improves the design quality of AI-generated frontend projects by providing a comprehensive set of tools and guidelines.

JavaScript 107,890 stars +12,605 this month

addyosmani/agent-skills

Production-grade engineering skills for AI coding agents.

Overview: Agent Skills is a repository providing production-grade engineering skills for AI coding agents. It includes workflows, quality gates, and best practices to ensure consistent development across all phases. Key features: - 9 slash commands mapping to the development lifecycle - Automated activation of skills based on development activities - Installation via CLI for integration with various AI agents Tech stack: JavaScript Why it matters: It standardizes development practices for AI coding agents, ensuring consistent quality and efficiency in software development.

TypeScript 36,681 stars +9,863 this month

tashfeenahmed/freellmapi

7.4 billion tokens per month. 34 free LLM providers. 635 free model endpoints. All behind one /v1 endpoint, plus any custom OpenAI-compatible endpoint. Smart routing, automatic failover, encrypted keys. Personal experimentation only.

Overview: FreeLLMAPI aggregates free tiers from dozens of LLM providers, offering a combined capacity of 7.4 billion tokens per month across 635 free model endpoints. It provides a single OpenAI-compatible endpoint for easy integration and usage. Key features: - Aggregates free tiers from 34 providers - Offers a unified /v1 API endpoint - Supports automatic failover and smart routing Tech stack: TypeScript Why it matters: FreeLLMAPI simplifies access to a vast pool of free LLM resources, enabling developers to experiment and build applications without the need for costly subscriptions.

Go 34,536 stars +8,870 this month

Tencent/WeKnora

Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.

Overview: WeKnora is an open-source, LLM-powered knowledge management framework designed to help teams search, reason over, and maintain their documents. It supports RAG for semantic retrieval, an autonomous reasoning agent for complex tasks, and a self-maintaining Wiki for knowledge organization. Key features: - LLM-powered RAG for hybrid search and multimodal parsing - Autonomous reasoning agent for multi-step reasoning tasks - Self-maintaining Wiki with a knowledge graph and version control - Cross-session memory and long-term curation - Auto-sync from various data sources and formats - Integration with multiple channels and IM apps - Support for 29 built-in LLM vendors - Multi-workspace RBAC with detailed audit logs - Swappable LLMs, vector databases, and storage backends Tech stack: Go Why it matters: WeKnora provides a comprehensive solution for enterprise document understanding and semantic retrieval, enabling teams to efficiently manage and utilize their knowledge assets.

TypeScript 22,656 stars +8,415 this month

dream-num/univer

The Office Harness for AI Agents — Spreadsheets, Docs, Slides, Canvas, Relational Tables, and PDF in one runtime.

### Overview: Univer is an open-source SDK designed for creating productivity experiences within your product. It allows developers to embed spreadsheet, document, and presentation functionalities without being constrained by a hosted app or fixed UI. ### Key Features: - **Office Harness**: Supports spreadsheets, documents, presentations, bases, boards, and PDFs. - **Plugin Architecture**: Enables developers to create custom plugins for additional features. - **Canvas-Based Rendering**: Renders content in a customizable and interactive environment. - **Formula Engine**: Supports complex formulas and calculations. - **Facade API**: Provides a single API facade that works both in the browser and Node.js. - **Embeddable SDK**: Integrates seamlessly into existing applications. ### Tech Stack: TypeScript ### Why it Matters: Univer offers a flexible and customizable solution for building productivity tools, allowing developers to create unique and powerful applications without the limitations of a hosted environment. Its plugin architecture and open-source nature make it a valuable tool for both open-source and commercial projects alike.

Rust 16,552 stars +7,956 this month

NVIDIA/OpenShell

OpenShell is the safe, private runtime for autonomous AI agents.

### Overview: OpenShell is the safe, private runtime for fleets of autonomous AI agents, ensuring agents can read files, install packages, call APIs, and use credentials without accessing your data, secrets, or network. ### Key features: - **Kernel-level enforcement**: Agents run in isolated sandboxes, with kernel controls confining access to files and system calls. - **Formally verified policy changes**: Before applying policy changes, OpenShell checks for risky new access using formal verification, flagging changes for human review. ### Tech stack: Rust ### Why it matters: OpenShell provides a safe, private runtime for autonomous AI agents, ensuring they can interact with your infrastructure without unauthorized access, enhancing security and compliance.

TypeScript 101,441 stars +7,741 this month

thedotmack/claude-mem

Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More

Overview: Claude-Mem is a persistent memory compression system designed for Claude Code, capturing and compressing user interactions to provide context in future sessions. It supports various AI agents and integrates with multiple tools for enhanced functionality. Key features: - Captures and compresses user interactions across sessions - Integrates with multiple AI agents and tools - Offers semantic summaries for continuity of knowledge Tech stack: TypeScript Why it matters: Claude-Mem enhances the continuity and efficiency of AI agent interactions by preserving context across sessions.

Rust 27,064 stars +7,257 this month

t8y2/dbx

25 MB lightweight cross-platform database client for 100+ databases, including MySQL, PostgreSQL, SQLite, Redis, MongoDB, DuckDB, SQL Server, and Dameng. Built-in AI, MCP Server, CLI, desktop and Docker. | 轻量级跨平台数据库管理工具，支持 MySQL、PostgreSQL、SQLite、Redis、MongoDB、达梦等 100+ 数据库，提供桌面端、Docker、CLI、内置 AI 助手和 MCP。

Overview: DBX is a lightweight, cross-platform database client that supports 100+ databases, including MySQL, PostgreSQL, SQLite, Redis, MongoDB, Dameng, and more. It offers a built-in AI assistant, MCP Server, CLI, desktop interface, and Docker integration. Key features: - Supports 100+ databases - Built-in AI assistant - MCP Server - CLI - Desktop interface - Docker integration Tech stack: Rust Why it matters: DBX is a powerful and efficient database client that can handle a wide range of databases, making it a versatile tool for developers and database administrators. Its built-in AI assistant and MCP Server make it easy to manage and optimize database performance. The CLI and desktop interface provide a user-friendly way to interact with the database, while Docker integration allows for easy deployment and management.

TypeScript 30,543 stars +7,235 this month

mksglu/context-mode

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

### Overview: Context Mode optimizes AI coding agents by reducing context window size, improving performance, and enhancing user experience across multiple platforms. ### Key Features: - **Context Window Optimization:** Reduces context window size by 98%. - **Sandboxed Tool Output:** Ensures tool outputs are sandboxed and do not impact context size. - **Persistent Session Memory:** Stores session memory to prevent context loss. - **Routing Across 17 Platforms:** Routes tool calls across 17 different platforms using MCP + hooks. ### Tech Stack: TypeScript ### Why It Matters: Context Mode significantly improves the efficiency and performance of AI coding agents by optimizing context window size, reducing unnecessary data consumption, and ensuring consistent performance across various platforms.

Python 9,794 stars +6,631 this month

TencentCloud/Octop

A smarter, self-hosted AI assistant — multi-user, multi-agent.

### Overview: Octop is a self-hosted AI assistant designed for teams, families, and individuals. It operates in a multi-agent architecture, providing an intelligent environment that is both independent and collaborative. The fully self-hosted design ensures privacy and ease of access, with a single-process startup making powerful web console, CLI, and IM integrations available. ### Key Features: - **Multi-user Expert Team**: One admin, shared household; built-in expert library and expert market. - **Cloud Collaboration**: Link Octop to another instance to browse peer experts and chat across instances. - **MBTI Personas**: 16 personality templates plus an interactive quiz. - **AgentTeams**: Coordinator schedules multiple experts on multi-step work. - **Security Built-in**: JWT multi-user isolation, tool approval, shell command guardrails, and PII redaction. - **Connector Ecosystem**: Tencent suite, OAuth, and MCP gateway extend resource boundaries. - **Pluggable Workspace Backends**: Local disk, Docker sandbox, PostgreSQL, or COS/S3 for agent files. ### Tech Stack: Python ### Why It Matters: Octop is a smarter, self-hosted AI assistant that enhances collaboration and productivity in teams, families, and individuals. Its multi-agent architecture and security features ensure privacy and ease of access, making it a valuable tool for any organization or individual looking to streamline their workflow and improve their digital life.

TypeScript 151,849 stars +6,460 this month

anthropics/claude-code

Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands.

Overview: Claude Code is an agentic coding tool that integrates into your terminal or IDE to assist with coding tasks, codebase understanding, and git workflows through natural language commands. It is primarily developed in TypeScript and can be installed via various methods including curl, Homebrew, and npm (deprecated). Key features: - Execute routine coding tasks via natural language - Explain complex code and handle git workflows - Extend functionality with custom plugins Tech stack: TypeScript Why it matters: Claude Code enhances developer productivity by automating routine tasks and providing intelligent code assistance directly within the terminal or IDE.

Go 30,928 stars +6,427 this month

vxcontrol/pentagi

Fully autonomous AI Agents system capable of performing complex penetration testing tasks

### Overview: PentAGI is a fully autonomous AI Agents system designed for complex penetration testing tasks. It leverages advanced AI General Intelligence to automate and enhance the process of identifying vulnerabilities and security flaws in systems. ### Key Features: - **Agent Supervision**: Ensures the safety and efficiency of AI agents in performing penetration testing tasks. - **Agent Docker Access**: Allows agents to access the host's Docker environment without compromising security. - **Running Several Instances**: Enables the deployment of multiple instances of AI agents with tenant-specific configurations. ### Tech Stack: Go ### Why it Matters: PentAGI is pivotal in the field of cybersecurity, offering unparalleled capabilities for automated penetration testing. Its autonomous AI agents can swiftly identify vulnerabilities, reducing the need for manual intervention and increasing the speed and accuracy of security assessments. Repository: vxcontrol/pentagi Primary language: Go GitHub stars: 30,902

JavaScript 68,858 stars +6,329 this month

byoungd/up

韩先凯的人生进阶指南人生进阶指南 AI时代生存指南英语学习指南离谱的人生 AI AI时代终身学习：AI、学习、创业与成长。

Overview: The "人生进阶指南" is a comprehensive guide written by Han Xiankai (pen name: 离谱) to help individuals navigate and thrive in the AI era through continuous learning and personal growth. It offers practical advice and resources for improving English skills, learning AI, and more. Key features: - Comprehensive guide for lifelong learning and personal development - Resources for improving English skills and using AI effectively - Practical templates and checklists for tracking progress and setting goals Tech stack: JavaScript (repository management) Why it matters: This guide provides a structured approach to personal and professional development in the rapidly changing AI era.

Python 30,024 stars +5,654 this month

anthropics/knowledge-work-plugins

Open source repository of plugins primarily intended for knowledge workers to use in Claude Cowork

Overview: This repository hosts a collection of plugins designed to enhance Claude Cowork, a knowledge worker platform, by customizing its capabilities for specific roles and workflows. These plugins integrate seamlessly with Claude's core functionalities, allowing for more tailored and efficient solutions. Key features: - **Productivity**: Manages tasks, calendars, and workflows. - **Sales**: Handles prospect research, call preparation, and customer support. - **Customer Support**: Triage tickets, draft responses, and build knowledge base articles. - **Product Management**: Writes specifications, plans roadmaps, and keeps stakeholders updated. - **Marketing**: Drafts content, plans campaigns, and reports on performance. - **Legal**: Reviews contracts, manages NDAs, and prepares for meetings. - **Finance**: Prepares journal entries, reconciles accounts, and generates financial statements. - **Data**: Queries, visualizes, and interprets datasets. - **Enterprise Search**: Finds information across email, chat, and documents. - **Bio-Research**: Connects to preclinical research tools and databases. Tech stack: Python Why it matters: These plugins provide a flexible and customizable solution for knowledge workers, allowing them to leverage Claude Cowork's capabilities in a way that best suits their specific needs and workflows.

Python 40,205 stars +5,410 this month

anthropics/financial-services

Overview: Claude for Financial Services provides a suite of agents and vertical plugins tailored for financial services workflows such as investment banking, equity research, and wealth management. It can be installed as a Claude Cowork plugin or deployed through the Claude Managed Agents API. Key features: - Agents and vertical plugins for various financial services workflows - Self-contained agent plugins that bundle necessary skills and connectors - Deployment options through Claude Cowork and Managed Agents API Tech stack: Python Why it matters: It streamlines complex financial services workflows by automating tasks and providing comprehensive tools for analysts and professionals.

Python 41,896 stars +5,112 this month

anthropics/claude-plugins-official

Official, Anthropic-managed directory of high quality Claude Code Plugins.

Overview: The anthropics/claude-plugins-official repository is a curated directory of high-quality plugins for Claude Code, managed by Anthropic. It includes both internal and external plugins, each following a standardized structure. Key features: - Curated collection of high-quality plugins - Support for both internal and external plugins - Standardized plugin structure for consistency Tech stack: Python (primary language, though plugins can be in various languages) Why it matters: It provides a trusted source for plugins that enhance the functionality of Claude Code, ensuring quality and security for users.

Python 39,242 stars +3,705 this month

VectifyAI/PageIndex

📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG

Overview: PageIndex is a document indexing system that uses a hierarchical tree index and LLM reasoning to retrieve information from long and complex documents, offering a more accurate and context-aware retrieval method compared to traditional vector-based approaches. It is designed to work without vector databases or document chunking, making it ideal for professional documents like financial reports and legal documents. Key features: - Vectorless, reasoning-based retrieval - Context-aware and explainable search - Local mode for indexing and retrieval - Hierarchical tree indexing for documents Tech stack: Python Why it matters: PageIndex provides a more accurate and context-aware retrieval method for complex documents, replacing the need for vector databases and chunking with a hierarchical tree index and LLM reasoning.

Go 183,653 stars +3,190 this month

ollama/ollama

Get up and running with Kimi, GLM, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.

Overview: Ollama is a project that enables developers to run and manage AI models locally or in the cloud with privacy. It supports a variety of models and provides tools for integration and development. Key features: - Easy installation on macOS, Windows, Linux, and Docker - REST API for running and managing models - Libraries for Python and JavaScript - Community integrations and chat interfaces Tech stack: Go Why it matters: Ollama simplifies the process of working with AI models, offering developers a flexible and privacy-focused platform for experimentation and application development.

TypeScript 9,706 stars +3,006 this month

mobile-next/mobile-mcp

Model Context Protocol Server for Mobile Automation and Scraping (iOS, Android, Emulators, Simulators and Real Devices)

### Overview: The Mobile Next - MCP server is a scalable tool designed for mobile automation and scraping across iOS and Android devices, emulators, simulators, and real devices. It provides a platform-agnostic interface, enabling seamless interaction with native iOS/Android applications and devices through structured accessibility snapshots or coordinate-based taps. ### Key Features: - **Accessibility-first**: Drives apps from the native accessibility tree, falling back to screenshots and coordinates only when necessary. - **One API, every target**: The same tools work across iOS and Android, including simulators, emulators, and real devices. - **No platform expertise**: Simplifies mobile automation by eliminating the need for distinct iOS or Android knowledge. ### Tech Stack: TypeScript ### Why It Matters: This server facilitates efficient and cost-effective mobile automation, making it ideal for developers looking to streamline their testing and data entry processes. Its platform-agnostic nature ensures compatibility across various devices and tools, enhancing flexibility and reducing setup requirements. Repository: mobile-next/mobile-mcp Primary Language: TypeScript GitHub Stars: 9703 GitHub Description: Model Context Protocol Server for Mobile Automation and Scraping (iOS, Android, Emulators, Simulators and Real Devices)

JavaScript 10,533 stars +2,842 this month

mnfst/awesome-free-llm-apis

List of Permanent Free LLM API (API Keys)

### Overview: This repository is a curated list of permanent free LLM API endpoints, designed for developers looking to integrate text inference capabilities into their applications without the need for credit card payments. ### Key features: - Permanent free tiers for various LLM models - OpenAI SDK-compatible endpoints - Supports text, image, and audio/video modality - Provides detailed model context and rate limits ### Tech stack: JavaScript ### Why it matters: These free LLM APIs offer a reliable and cost-effective solution for developers seeking to integrate advanced text inference capabilities into their applications, ensuring seamless integration and performance without the burden of credit card fees.

TypeScript 7,421 stars +2,663 this month

BuilderIO/agent-native

A framework for building agentic apps

Overview: Agent-Native is an open-source TypeScript framework designed to build agents that integrate with a purpose-built UI, allowing for a more comprehensive and context-aware application experience. Key features: - Shared actions: Agents call capabilities as tools, and the UI calls them from code. - Shared data: Work done by the agent appears in the UI, and vice versa. - Shared application state: The agent receives relevant UI state. Tech stack: TypeScript Why it matters: Agent-Native provides a framework that enhances knowledge work by integrating agents with a user-friendly interface, making it easier for people to inspect, edit, approve, and share the agent's work.

Python 61,456 stars +2,650 this month

BerriAI/litellm

The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, and logging [Bedrock, Azure, OpenAI, Anthropic, OpenAI, VertexAI, vLLM, Nvidia NIM]

Overview: LiteLLM is an open-source AI Gateway that provides a unified interface to call over 100 Large Language Model (LLM) providers using the OpenAI API format. It supports both direct Python SDK integration and deployment as a centralized proxy server. Key features: - Unified API for 100+ LLMs - Drop-in OpenAI compatibility - Production-ready gateway with virtual keys, spend tracking, and load balancing Tech stack: Python, Rust Why it matters: LiteLLM simplifies the management of LLM calls across different providers by offering a single, unified interface and production-ready features, reducing the complexity of integrating and managing multiple LLMs.

Python 69,033 stars +2,614 this month

docling-project/docling

Get your documents ready for gen AI

Overview: Docling is a tool that simplifies document processing by parsing various formats and integrating with the generative AI ecosystem. It supports advanced PDF understanding and offers seamless integrations with AI platforms. Key features: - Parsing of multiple document formats including PDF, DOCX, PPTX, XLSX, HTML, EPUB, and more. - Advanced PDF understanding including page layout, reading order, table structure, and image classification. - Support for application-specific XML schemas like DocLang, USPTO patents, JATS articles, and XBRL financial reports. - Local execution for sensitive data and air-gapped environments. - Integrations with AI platforms such as LangChain, LlamaIndex, Crew AI, and Haystack. - OCR support for scanned PDFs and images. - Support for Visual Language Models and ASR models for audio. - API server and MCP server for running Docling as a service. Tech stack: Python Why it matters: Docling simplifies the process of converting and understanding diverse document formats, making it easier to integrate documents into AI workflows.

Python 104,837 stars +2,390 this month

pytorch/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Overview: PyTorch is a Python package that provides tensor computation with GPU acceleration and dynamic neural networks, making it suitable for deep learning research and production. Key features: - Tensor computation with GPU acceleration - Dynamic neural networks with tape-based autograd - Seamless integration with Python and popular libraries like NumPy and SciPy Tech stack: Python, C++ Why it matters: PyTorch offers flexibility and speed for deep learning research and development, enabling dynamic model building and easy integration with Python ecosystems.

JavaScript 2,806 stars +2,300 this month

michael-denyer/pstack-claude

Claude Code, Codex, Copilot, Pi, OpenCode, Gemini, and Prime Agent versions of Poteto's pstack. Rigorous agent workflows with Cursor primitives translated for other harnesses.

Overview: pstack is a comprehensive skill stack for Claude Code, Codex, Pi, GitHub Copilot, and other agent harnesses, designed to enhance agent outcomes by improving code conciseness, simplicity, and verification. Key features: - pstack integrates with Claude Code, Codex, Pi, GitHub Copilot, and other agent harnesses. - Tracks upstream and carries named policy forks. - Simplifies code by keeping it concise and simple. - Verifies invariants and tracks concurrency bugs with the agent-formal-verify plugin. - Provides rigorous agent workflows with Cursor primitives translated for other harnesses. Tech stack: JavaScript Why it matters: pstack enhances agent outcomes by improving code conciseness, simplicity, and verification, making it a valuable tool for developers looking to streamline their workflows and ensure code quality.

TypeScript 13,641 stars +2,258 this month

krillinai/OpenCreator

Formerly KrillinAI, VideoTranslation and Dubbing Tool. Open-source AI workspace for creators, powered by Codex. Video downloading, video translation, create videos, images, voice, avatars, and edits with Agents in one place. Suitable for your Social Media like YouTube, TikTok, Instagram, etc.

### Overview: OpenCreator is an open-source AI workspace designed for creators, offering a unified platform for video translation, creation of videos, images, voiceovers, and more. It combines the power of Codex CLI with a stable local runtime, a visual workspace, and a desktop host, making it suitable for use on various platforms. ### Key Features: - **Content Workspace**: Use visual tools and creation templates for video translation, downloading, image and video generation, voiceovers, article and social post writing, short-video scripting, and stick figure animation. - **Agent Conversation**: Start and guide creative or development tasks in natural language, organize conversations by project, keep runs working in the background, and manage approvals, attachments, files, Skills, MCP, schedules, notifications, memory, and diagnostics from one place. ### Tech Stack: - TypeScript ### Why It Matters: OpenCreator provides a streamlined workflow for creators, allowing them to focus on their creative and development work without the need to reinvent the wheel. The integration of Codex CLI ensures that the AI capabilities are seamlessly integrated into the workspace, making it a valuable tool for anyone looking to enhance their content creation and development processes. Repository: krillinai/OpenCreator GitHub Stars: 13,625

Python 32,716 stars +2,080 this month

davila7/claude-code-templates

CLI tool for configuring and monitoring Claude Code

Overview: Claude Code Templates is a CLI tool for configuring and monitoring Anthropic's Claude Code, providing a comprehensive collection of AI agents, commands, settings, hooks, and project templates to enhance development workflows. It is sponsored by various organizations and has gained significant popularity with over 32,000 GitHub stars. Key features: - Ready-to-use configurations for Anthropic's Claude Code - Interactive web interface for browsing and installing components - Support for custom commands, settings, hooks, and external integrations (MCPs) - Development tools and analytics for monitoring AI-powered sessions Tech stack: Python, Node.js Why it matters: It simplifies the setup and management of AI-driven development environments, enhancing productivity and automation capabilities.

Java 5,739 stars +1,893 this month

bethington/ghidra-mcp

Ghidra MCP Server — 200+ MCP tools for AI-powered reverse engineering. GUI plugin + headless server, lazy tool loading, convention enforcement, batch operations, Ghidra Server integration, and Docker deployment.

### Overview: The Ghidra MCP Server is a comprehensive toolset for AI-powered reverse engineering, featuring over 200 MCP tools, a GUI plugin, and a headless server. It leverages Ghidra's powerful reverse engineering capabilities and integrates with modern AI workflows, including batch operations, lazy tool loading, convention enforcement, and Ghidra Server integration. ### Key Features: - **200+ MCP Tools:** A wide range of tools for AI-driven reverse engineering. - **GUI Plugin:** A user-friendly interface for easy access to MCP tools. - **Headless Server:** A lightweight server for running tools without a graphical interface. - **Lazy Tool Loading:** Tools are loaded only when needed, improving performance. - **Convention Enforcement:** Ensures consistency in tool usage and results. - **Batch Operations:** Facilitates batch processing of multiple files. - **Ghidra Server Integration:** Seamless integration with Ghidra's reverse engineering capabilities. - **P-Code Emulation and Live Debugger Integration:** Enhances debugging and analysis. - **P-Code-Graph Data Flow Analysis:** Advanced data flow analysis for deeper insights. ### Tech Stack: - **Java:** The primary language used for development and integration. ### Why It Matters: The Ghidra MCP Server is essential for anyone looking to leverage the power of reverse engineering with modern AI tools and automation. Its comprehensive feature set and integration with Ghidra make it a valuable asset for developers and researchers in the field of software reverse engineering.

Python 32,446 stars +1,821 this month

topoteretes/cognee

Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory with small models for free

Overview: Cognee is an open-source AI memory platform designed to provide persistent long-term memory for AI agents, allowing them to access and reuse information across sessions. Key features: - Persistent long-term memory for AI agents - Free, small models using CPU - Local, no API key required - Integrates with various programming languages and frameworks Tech stack: Python Why it matters: Cognee simplifies the integration of AI agents with knowledge, making it easier for teams to build and maintain a shared understanding of projects and decisions.

JavaScript 4,908 stars +1,805 this month

WorldFlowAI/everything-claude-code

Claude Code toolkit - agents, commands, skills, rules, and hooks for productive AI-assisted development

Overview: This repository contains a complete collection of Claude Code configurations, including agents, commands, skills, rules, and hooks, designed for productive AI-assisted development. Key features: - Agents - Commands - Skills - Rules - Hooks Tech stack: Node.js Why it matters: This repository provides a comprehensive set of Claude Code configurations that have been refined over 10+ months of use, making them suitable for real-world product development. Repository: WorldFlowAI/everything-claude-code GitHub stars: 4900 GitHub description: Claude Code toolkit - agents, commands, skills, rules, and hooks for productive AI-assisted development

Jupyter Notebook 6,074 stars +1,764 this month

higgsfield-ai/higgsfield

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

Overview: Higgsfield is an open-source, fault-tolerant, and highly scalable GPU orchestration framework designed for training models with billions to trillions of parameters, such as Large Language Models (LLMs). Key features: - Fault-tolerant GPU orchestration - Efficient sharding for trillion-parameter models - Framework for initiating, executing, and monitoring large neural network training - Resource management for continuous integration and seamless integration with GitHub and GitHub Actions Tech stack: Jupyter Notebook Why it matters: Higgsfield provides a robust and versatile toolset for training massive models, ensuring efficient resource management and seamless integration with popular tools and platforms. Repository: higgsfield-ai/higgsfield GitHub stars: 6072 GitHub description: Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters, such as Large Language Models (LLMs).

Rust 3,287 stars +1,695 this month

zeronsh/zeron

A native control plane for Claude Code, Codex, Cursor, Devin and other coding agents.

Overview: Zeron is a native control plane designed for various coding agents, allowing users to manage and synchronize their sessions locally or across multiple devices. Key features: - Local control and multi-device synchronization - Desktop app for macOS, Windows, and Linux - CLI (Command Line Interface) for server environments - Multi-device synchronization for trusted users - Sponsors and sponsorship options Tech stack: Rust Why it matters: Zeron simplifies the management and synchronization of coding agents, making it easier for developers to control and collaborate with their agents efficiently. Repository: zeronsh/zeron GitHub stars: 3285

Rust 6,477 stars +1,692 this month

xingkongliang/skills-manager

A lightweight desktop app to manage, sync, and organize AI agent skills across 50+ coding tools — Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.

### Overview: Skills Manager is a lightweight desktop application designed to manage and synchronize AI agent skills across a wide range of coding tools, including Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more. It simplifies the process of installing, deploying, and managing skills across multiple environments, ensuring a unified and efficient workflow. ### Key Features: - **Unified Skill Library**: Skills can be installed from Git repositories, local folders, `.zip` archives, or the skills.sh marketplace, all stored in a central repository located at `~/.skills-manager`. - **Marketplace**: Browse and discover popular skills using keyword search. - **Agent Workspace**: Agents can manage skills directly, avoiding the need to write to agent-specific folders, preserving sources, presets, and update tracking. - **Presets**: Skills can be grouped into presets, which can be activated or deactivated in any workspace. - **Global Workspace**: Each agent has a dedicated workspace listing all skills installed globally, ensuring a consistent view across all agents. - **Project Workspaces**: Project-specific workspaces allow managing skills for individual projects, keeping the view up-to-date with the agent's current setup. ### Tech Stack: Rust ### Why It Matters: Skills Manager streamlines the management of AI agent skills across multiple coding tools, making it easier to maintain and update skills without disrupting the workflow. By centralizing skills and providing a unified view, it simplifies the process of installing, deploying, and managing skills across different environments, ensuring a more efficient and consistent workflow.

Python 8,852 stars +1,565 this month

strands-agents/harness-sdk

Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.

Overview: Harness SDK is an open-source agent harness and control system designed for building and managing AI agents in Python and TypeScript. It simplifies the process of deploying and managing AI agents without the need for a hosted control plane. Key features: - Python and TypeScript SDKs for agent development - Lifecycle controls, tools, structured output, and multi-agent patterns - Memory management, sessions, model portability, and streaming capabilities - Guardrails, tracing, and evals for safety and observability - Support for various model providers and cloud providers Tech stack: Python and TypeScript Why it matters: Harness SDK simplifies the process of building and managing AI agents, making it easier to deploy and scale AI solutions without the complexity of a hosted control plane.