ai-agents Tools

Octop is a self-hosted AI assistant platform that enables teams to deploy and manage multiple AI agents securely on their own infrastructure. It solves the problem of data privacy and fragmented AI tools by providing a centralized, private hub for collaboration. It's ideal for developers, researchers, and organizations that need customizable, secure AI assistance without relying on external cloud services.

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

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.

O DeskcommCRM é um sistema operacional comercial de código aberto e auto-hospedado. Ele resolve o problema de leads que se perdem no funil, substituindo planilhas e robôs ineficazes por agentes de IA nativos que atendem no WhatsApp, qualificam e registram tudo de forma auditável. É feito para qualquer negócio que vende por chat e quer controle total, sem mensalidade por usuário.

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.

Text-to-CAD is a library of agent skills that enables AI to perform focused engineering tasks. It solves the problem of automating complex CAD, simulation, and fabrication workflows by providing ready-to-use skills for creating models, finding parts, generating robot files, and previewing designs. It's for developers and engineers building AI agents for mechanical design, robotics, and manufacturing.

ODS transforms your personal computer into a powerful, self-hosted AI platform. It solves the problem of privacy, cost, and latency by bringing LLM inference, chat, voice agents, and image generation directly to your local machine. It's ideal for developers, researchers, and privacy-conscious users who want full control over their AI tools without relying on cloud services.

CMEM Cloud is a persistent memory layer for AI agents that captures, compresses, and recalls context across sessions. It solves the problem of agents forgetting past decisions and repeating work, by creating a shared, searchable memory for your entire team. It's for developers and teams using AI coding assistants like Claude Code, Cursor, and Copilot who want their agents to learn from history and collaborate seamlessly.

This repository provides a comprehensive set of guidelines and patterns to help AI coding assistants generate modern, production-ready Go code. It addresses the challenge of AI agents producing outdated or non-idiomatic Go syntax and patterns by offering clear standards. It is designed for developers, engineering teams, and AI tool creators who want to ensure AI-generated Go code aligns with current community best practices and style conventions.

Browser Use provides infrastructure and agents to automate tasks on the web. It solves the problem of making websites accessible and actionable for AI, enabling automation of research, data extraction, and other online workflows. It's for developers and teams building AI agents or automations that need reliable, managed browser interaction.

Ponytail is a ruleset for AI coding agents that enforces a 'lazy senior dev' mindset, drastically reducing over-engineering. It makes your agent stop at the first, simplest working solution—reusing existing code, leveraging standard libraries, and avoiding speculative features. It's for developers who want their AI assistants to produce minimal, maintainable, and robust code without unnecessary complexity.

AI Engineering from Scratch is a comprehensive, open-source curriculum that provides the missing spine for AI education. It solves the problem of scattered, framework-first learning by having you implement every core algorithm—from backprop to transformers—using only math and code, before any libraries are introduced. It's designed for engineers and students who want deep, foundational understanding and the ability to build, debug, and ship AI systems with confidence.

AI Job Search is a local, private framework that automates the job application process. It uses AI models like Claude to evaluate job postings, tailor your CV and cover letters, and prepare you for interviews. It's designed for job seekers who want to apply efficiently at scale while maintaining personalized, high-quality applications, all running securely on your own machine.

Hermes Agent is a persistent, multi-platform AI assistant that grows with you. It solves the problem of fragmented AI tools by providing a single agent with unified memory that works across Telegram, Discord, Slack, CLI, and more. It's for developers, teams, and power users who need an automated assistant that remembers context, schedules tasks, delegates work, and securely browses the web—all from one intelligent core.

Awesome Agent Skills is a curated, production-ready repository of over 1000+ skills for AI agents and coding assistants. It solves the problem of fragmented, unreliable, or unofficial skill sources by aggregating verified skills directly from developer teams like Microsoft, Google, and Anthropic, alongside top community picks. This collection is designed for developers and teams building with AI agents in tools like Claude Code, Cursor, and GitHub Copilot, ensuring compatibility and reliability.

Ruflo is an agent meta-harness for building and orchestrating intelligent multi-agent systems. It solves the complexity of coordinating autonomous AI workflows by providing adaptive memory, RAG integration, and self-learning intelligence. It's designed for developers and teams building advanced conversational AI, autonomous swarms, and complex, coordinated AI applications.

This is an open-source library of 734 structured cybersecurity skills following the agentskills.io standard. It solves the problem of AI agents lacking domain-specific, actionable cybersecurity knowledge by providing pre-built, framework-mapped workflows. It's designed for developers and security professionals using AI coding assistants like Claude Code, GitHub Copilot, and Cursor to enhance their agents' security capabilities.

holaOS is an open-source, all-in-one workspace for AI agents. It solves the problem of fragmented AI tools by letting you run any agent (like Claude Code or Codex) across your entire digital environment—100+ integrations, apps, browser, and files—with shared memory for seamless context. It's built for developers and teams who want to centralize their AI workflows, offering built-in models or the flexibility to bring your own keys.

Embabel is an Agentic AI framework designed for the JVM, enabling developers to move beyond AI experiments to build reliable, scalable, and production-ready AI agents. It solves the problem of Python's limitations in production environments by leveraging the type safety, performance, and mature ecosystem of Java and Kotlin. It's for JVM developers and teams who need to integrate robust, observable AI capabilities into their enterprise systems.

RAGFlow is an open-source Retrieval-Augmented Generation engine that builds a superior context layer for AI agents. It solves the problem of unreliable AI outputs by combining high-precision hybrid search with a built-in data ingestion pipeline and unified agent orchestration. It is designed for enterprises across industries like finance, legal, and manufacturing that need to build accurate, context-aware AI applications and workflows.

Macro is an open-source office suite that unifies email, chat, docs, tasks, CRM, and AI into a single workspace. It solves the problem of fragmented communication and data across dozens of apps by providing a shared, team-level memory built from all your work. It's built for modern teams who want to replace 7+ separate tools with one fast, secure, and intelligent system.