AI tools for crewai
Related Tools:
crewAI
crewAI is a platform for Multi AI Agents Systems that offers a user-friendly framework for automating workflows with AI agents. It simplifies the process of building and deploying multi-agent automations, providing support for various AI models and templates. With a focus on privacy and security, crewAI ensures that each agent runs in isolated environments. The platform is suitable for enterprises and developers looking to leverage AI technologies effectively.
CrewAI
CrewAI is a leading multi-agent platform that enables users to streamline workflows across industries with powerful AI agents. Users can build and deploy automated workflows using any LLM and cloud platform. The platform offers tools for building, deploying, monitoring, and improving AI agents, providing complete visibility and control over automation processes. CrewAI is trusted by industry leaders and used in over 60 countries, offering a comprehensive solution for multi-agent automation.
CrewAI
CrewAI is a lean, lightning-fast Python framework that empowers developers to create autonomous AI agents tailored to any scenario. It offers high-level simplicity and precise low-level control, with features like Crews for collaborative intelligence, Flows for structured automations, and role-based agents. CrewAI is becoming the standard for enterprise-ready AI automation with over 100,000 certified developers. It provides a framework for building AI agent teams that work together to tackle complex tasks.
Creaitor
Creaitor is an AI-driven content and SEO enhancement platform that offers a comprehensive suite of AI tools and integrated SEO features to streamline content creation and optimize online presence. It empowers content producers to create better, faster, and more SEO-optimized content, leading to increased clicks, conversions, and sales.
Creaitor
Creaitor is an AI-driven content and SEO enhancement platform that offers a comprehensive suite of AI tools and integrated SEO features. It streamlines the content creation process and helps optimize online presence by providing tools for generating marketing copy, creating product descriptions, generating images, and improving SEO performance. The platform includes an AI chat feature, bulk processing for efficient content creation, and an Article Wizard tool for creating high-quality, SEO-friendly articles.
Creaition
Creaition is an AI-powered visual creation tool that allows users to effortlessly create stunning designs in a completely visual workflow. With advanced AI technology, users can explore endless design variations, blend designs seamlessly, and selectively regenerate parts of images while keeping the overall design intact. The tool offers a curated feed of inspirations, a natural design environment, and a personalized palette of ingredients for design freedom. Creaition is revolutionizing the design process by providing a comprehensive overview of the creative journey and enhancing the user experience through cutting-edge AI technology.
CREaiVE
CREaiVE is an AI Human Hub that specializes in creating immersive 3D and AI-generated content to help brands deliver engaging and converting content. They offer services such as new model creation, AI model portfolio, digital double creation, product promotion, genAI content, magic recovery, and showcase generative AI. The company harnesses the power of generative AI technology to empower creativity and provide unique solutions for individuals and businesses looking to enhance their digital presence.
crewAI
crewAI is a cutting-edge framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks. It provides a flexible and structured approach to AI collaboration, enabling users to define agents with specific roles, goals, and tools, and assign them tasks within a customizable process. crewAI supports integration with various LLMs, including OpenAI, and offers features such as autonomous task delegation, flexible task management, and output parsing. It is open-source and welcomes contributions, with a focus on improving the library based on usage data collected through anonymous telemetry.
crewAI
CrewAI is a cutting-edge framework designed to orchestrate role-playing autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks. It enables AI agents to assume roles, share goals, and operate in a cohesive unit, much like a well-oiled crew. Whether you're building a smart assistant platform, an automated customer service ensemble, or a multi-agent research team, CrewAI provides the backbone for sophisticated multi-agent interactions. With features like role-based agent design, autonomous inter-agent delegation, flexible task management, and support for various LLMs, CrewAI offers a dynamic and adaptable solution for both development and production workflows.
crewAI-quickstart
CrewAI quickstart is a small project providing starter templates for an easy start with CrewAI. It includes notebooks, Python scripts, GUI with Streamlit, and Local LLMs for various tasks like web search, CSV lookup, web scraping, PDF search, and more. Contributions are welcome to enhance the project.
crewAI-examples
crewAI-examples is a repository containing examples demonstrating the usage of crewAI framework for facilitating collaboration of role-playing AI agents. The examples showcase various ways to automate processes using crewAI. Created by @joaomdmoura.
crewAI-tools
The crewAI Tools repository provides a guide for setting up tools for crewAI agents, enabling the creation of custom tools to enhance AI solutions. Tools play a crucial role in improving agent functionality. The guide explains how to equip agents with a range of tools and how to create new tools. Tools are designed to return strings for generating responses. There are two main methods for creating tools: subclassing BaseTool and using the tool decorator. Contributions to the toolset are encouraged, and the development setup includes steps for installing dependencies, activating the virtual environment, setting up pre-commit hooks, running tests, static type checking, packaging, and local installation. Enhance AI agent capabilities with advanced tooling.
CrewAI-Studio
CrewAI Studio is an application with a user-friendly interface for interacting with CrewAI, offering support for multiple platforms and various backend providers. It allows users to run crews in the background, export single-page apps, and use custom tools for APIs and file writing. The roadmap includes features like better import/export, human input, chat functionality, automatic crew creation, and multiuser environment support.
crewAI-examples
crewAI-examples is a collection of examples showcasing the usage of crewAI framework for automating processes in role-playing AI agent collaboration. It includes basic and advanced examples such as marketing strategy, surprise trip, match to proposal, find job candidates demo, create job posting, trip planner, create Instagram post, markdown validator, game generator, using Azure OpenAI API, stock analysis, landing page generator, and CrewAI + LangGraph integration.
crewAI-tools
This repository provides a guide for setting up tools for crewAI agents to enhance functionality. It offers steps to equip agents with ready-to-use tools and create custom ones. Tools are expected to return strings for generating responses. Users can create tools by subclassing BaseTool or using the tool decorator. Contributions are welcome to enrich the toolset, and guidelines are provided for contributing. The development setup includes installing dependencies, activating virtual environment, setting up pre-commit hooks, running tests, static type checking, packaging, and local installation. The goal is to empower AI solutions through advanced tooling.
CrewAI-GUI
CrewAI-GUI is a Node-Based Frontend tool designed to revolutionize AI workflow creation. It empowers users to design complex AI agent interactions through an intuitive drag-and-drop interface, export designs to JSON for modularity and reusability, and supports both GPT-4 API and Ollama for flexible AI backend. The tool ensures cross-platform compatibility, allowing users to create AI workflows on Windows, Linux, or macOS efficiently.
awesome-crewai
Awesome CrewAI is a curated collection of open-source projects built by the CrewAI community, aimed at unlocking the full potential of AI agents for supercharging business processes and decision-making. It includes integrations, tutorials, and tools that showcase the capabilities of CrewAI in various domains.
trip_planner_agent
VacAIgent is an AI tool that automates and enhances trip planning by leveraging the CrewAI framework. It integrates a user-friendly Streamlit interface for interactive travel planning. Users can input preferences and receive tailored travel plans with the help of autonomous AI agents. The tool allows for collaborative decision-making on cities and crafting complete itineraries based on specified preferences, all accessible via a streamlined Streamlit user interface. VacAIgent can be customized to use different AI models like GPT-3.5 or local models like Ollama for enhanced privacy and customization.
Tiger
Tiger is a community-driven project developing a reusable and integrated tool ecosystem for LLM Agent Revolution. It utilizes Upsonic for isolated tool storage, profiling, and automatic document generation. With Tiger, you can create a customized environment for your agents or leverage the robust and publicly maintained Tiger curated by the community itself.
ai-playground
The ai-playground repository contains code from tutorials presented on the Code AI with Rok YouTube channel. It includes tutorials on using the OpenAI Assistants API v1 beta to build personal math tutors, customer support chatbots, and more. Additionally, there are tutorials on using Gemini Pro API, Snowflake Cortex LLM functions, LlamaIndex chat streaming app, Fetch.ai uAgents, Milvus Standalone, spaCy for NER, and more. The repository aims to provide practical examples and guides for developers interested in AI-related projects and tools.
AI-Bootcamp
The AI Bootcamp is a comprehensive training program focusing on real-world applications to equip individuals with the skills and knowledge needed to excel as AI engineers. The bootcamp covers topics such as Real-World PyTorch, Machine Learning Projects, Fine-tuning Tiny LLM, Deployment of LLM to Production, AI Agents with GPT-4 Turbo, CrewAI, Llama 3, and more. Participants will learn foundational skills in Python for AI, ML Pipelines, Large Language Models (LLMs), AI Agents, and work on projects like RagBase for private document chat.
learn-agentic-ai
Learn Agentic AI is a repository that is part of the Panaversity Certified Agentic and Robotic AI Engineer program. It covers AI-201 and AI-202 courses, providing fundamentals and advanced knowledge in Agentic AI. The repository includes video playlists, projects, and project submission guidelines for students to enhance their understanding and skills in the field of AI engineering.
agentcloud
AgentCloud is an open-source platform that enables companies to build and deploy private LLM chat apps, empowering teams to securely interact with their data. It comprises three main components: Agent Backend, Webapp, and Vector Proxy. To run this project locally, clone the repository, install Docker, and start the services. The project is licensed under the GNU Affero General Public License, version 3 only. Contributions and feedback are welcome from the community.
agentops
AgentOps is a toolkit for evaluating and developing robust and reliable AI agents. It provides benchmarks, observability, and replay analytics to help developers build better agents. AgentOps is open beta and can be signed up for here. Key features of AgentOps include: - Session replays in 3 lines of code: Initialize the AgentOps client and automatically get analytics on every LLM call. - Time travel debugging: (coming soon!) - Agent Arena: (coming soon!) - Callback handlers: AgentOps works seamlessly with applications built using Langchain and LlamaIndex.
flock
Flock is a workflow-based low-code platform that enables rapid development of chatbots, RAG applications, and coordination of multi-agent teams. It offers a flexible, low-code solution for orchestrating collaborative agents, supporting various node types for specific tasks, such as input processing, text generation, knowledge retrieval, tool execution, intent recognition, answer generation, and more. Flock integrates LangChain and LangGraph to provide offline operation capabilities and supports future nodes like Conditional Branch, File Upload, and Parameter Extraction for creating complex workflows. Inspired by StreetLamb, Lobe-chat, Dify, and fastgpt projects, Flock introduces new features and directions while leveraging open-source models and multi-tenancy support.
ai-gradio
ai-gradio is a Python package that simplifies the creation of machine learning apps using various models like OpenAI, Google's Gemini, Anthropic's Claude, LumaAI, CrewAI, XAI's Grok, and Hyperbolic. It provides easy installation with support for different providers and offers features like text chat, voice chat, video chat, code generation interfaces, and AI agent teams. Users can set API keys for different providers and customize interfaces for specific tasks.