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Build custom AI agents for your codebase in minutes Show more

Potpie AI is a versatile open-source platform designed for developers aiming to craft custom AI agents that seamlessly integrate into their codebases. By generating a knowledge graph of the code, Potpie AI allows these agents to autonomously tackle essential tasks like debugging, testing, and documentation, thereby streamlining and enhancing your development workflow. This unique capability not only boosts productivity but also elevates the accuracy and efficiency of handling complex code-related tasks. Developers can harness the power of Potpie AI to tailor solutions specific to their project needs, leading to more efficient software development cycles. With its robust and adaptable framework, Potpie AI empowers developers to push the boundaries of automation and AI in software engineering.
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Custom ai agents
Codebase integration
Automated debugging
Testing enhancement
Documentation support
Knowledge graph

An Open-Source AI Agent Platform for Financial Applications using LLM

An open-source low-code platform for building AI agents.

Open-source platform for AI tool integration Show more

NPi AI is a versatile open-source platform designed to enhance the functionality of AI agents through its robust APIs. It empowers these agents to seamlessly operate and interact with various software tools and applications, broadening the scope of what can be achieved with AI technology. By facilitating the creation of custom tools, NPi AI allows users to incorporate unique functionalities into their AI workflows, thereby elevating automation and interaction capabilities. Its open-source nature ensures flexibility and adaptability, catering to the diverse needs of developers and businesses seeking to innovate and optimize their processes. With NPi AI, the integration of tailored solutions becomes streamlined, paving the way for more sophisticated and efficient AI-driven operations. This platform is ideal for those looking to push the boundaries of AI usability and application across different domains.
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Ai tool integration
Custom tool creation
Enhanced automation

Phoenix Arize is an open-source AI observability platform for LLMs.

Open-source platform for developing and researching artificial general intelligence

Open-source LLM-powered agent for complex task automation

An open-source alternative to OpenAI Operator

World's first open source end to end testing agent Show more

Hercules is an innovative open-source testing agent designed to simplify the complexities of modern web application testing. It transforms easy-to-write Gherkin steps into comprehensive, automated end-to-end tests, eliminating the need for coding skills. Whether navigating complex platforms like Salesforce or integrating tests into your CI/CD pipeline, Hercules seamlessly adapts to your testing needs. This powerful tool not only tackles the most challenging testing tasks but also ensures testing processes are simple, reliable, and efficient. By automating intricate testing procedures, Hercules empowers teams to focus on delivering superior software quality. Experience streamlined testing like never before with Hercules, and keep pace with the ever-evolving demands of web application development.
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Automated end-to-end
Gherkin step integration
Ci/cd pipeline compatibility

An open-source reasoning in LLM from DeepSeek!

Efficient, open-source AI model rivaling larger competitors with lower resource requirements.

a local, extensible, open source AI agent that automates engineering tasks Show more

Codename Goose is a revolutionary AI agent designed to streamline and automate complex development tasks directly on your machine. Unlike traditional code suggestion tools, Goose can autonomously manage entire projects, from initial concept to completion, including writing, executing, and debugging code. It also possesses the capability to orchestrate sophisticated workflows and interact seamlessly with external APIs. Whether you're in the ideation phase, refining code, or handling complex engineering pipelines, Goose intelligently adapts to your workflow, delivering tasks with exceptional precision. Built for unparalleled flexibility, it collaborates with any Language Model and easily integrates with MCP-enabled APIs, making it a powerful ally for developers eager to accelerate progress and concentrate on innovation. With Goose, the mundane tasks are taken care of, freeing you to focus on what truly matters: creating groundbreaking software solutions.
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Automates engineering tasks
Builds entire projects
Debugs code
Orchestrates workflows
Interacts with apis

Open-source framework for building, deploying, and serving powerful agentic workflows at scale Show more

Bee Agent Framework is an advanced open-source toolkit tailored for developing scalable agent-based workflows leveraging diverse AI models. Equipped with robust support for IBM Granite and Llama 3.x models, the framework empowers developers to construct intricate agentic structures that adeptly handle workflow states. It offers a comprehensive suite of production-ready features, ensuring seamless real-world deployment. The framework's versatile architecture facilitates the integration of various AI components, promoting efficiency and scalability. Ideal for developers aiming to innovate and enhance workflow management, Bee Agent Framework stands out as a reliable resource for cutting-edge AI solutions.
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Workflow management
Ai model integration
Agentic workflows
Scalable architecture
Production-ready deployment

An open-source AI project that allows users to interact with their documents using LLM

An open-source Python library for AI-powered web scraping using LLMs Show more

ScrapeGraphAI is an innovative Python library designed to streamline the process of data extraction from various sources, such as websites and local documents like XML, HTML, and JSON. By combining the power of large language models (LLMs) with graph logic, this tool automates the creation of efficient scraping pipelines, making it accessible even to those with minimal programming experience. Users simply specify the data they seek in natural language, and the AI intricately manages the complex task of data extraction. Supporting a range of LLMs, including renowned models like GPT, Gemini, Groq, and Azure, as well as local models via Ollama, ScrapeGraphAI offers flexibility and adaptability to fit diverse project needs. This library not only reduces the time and effort required for web scraping but also enhances accuracy and consistency across data collection endeavors. Whether used by developers, researchers, or data enthusiasts, ScrapeGraphAI represents a significant advancement in the automation of data retrieval processes.
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Automated pipelines
Llm integration
Natural language inputs
Multi-source support

Open-source secure sandboxes for AI-generated code execution

An open-source AI-powered code editor alternative to Cursor. Show more

Void is a cutting-edge development environment that builds upon the foundation of Visual Studio Code, enhancing it with sophisticated AI capabilities tailored for coding assistance. Central to Void's appeal is its commitment to data privacy and user control, distinguishing it from similar tools like Cursor. Developers will appreciate features such as AI-powered autocomplete, enabling quicker code writing, and inline edits that streamline the coding process. The app also offers a codebase chat, providing an intuitive way to interact with your code. What sets Void apart is its agentic features, which empower developers to automate routine tasks efficiently. Most importantly, Void places users in the driver's seat by allowing them to choose their preferred AI models, ensuring they have full control over their coding environment and data.
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Ai autocomplete
Inline edits
Codebase chat
Agentic features

The open-source AI-native IDE

AI for Agentic Workflows. Human-AI Collaboration. Open Source.

An Open-Source Programming Framework for Agentic AI Show more

AutoGen is a cutting-edge open-source framework created by Microsoft Research, designed for the development of next-generation applications leveraging Large Language Models (LLMs). It uniquely supports multi-agent conversations, empowering developers to construct sophisticated AI workflows where multiple specialized agents collaborate seamlessly to tackle complex tasks. The framework streamlines the process of creating LLM-powered applications by offering flexibility in configuring diverse LLM setups, enabling efficient tool usage, and facilitating interactive human-AI dialogues. With AutoGen, developers can easily craft advanced AI systems that are capable of dynamic interaction and problem-solving. This innovative tool is ideal for those looking to explore and extend the potential of LLMs, driving forward the capabilities of AI applications in various domains.
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Multi-agent conversations
Complex ai workflows
Specialized agent collaboration
Llm application development
Human-ai interaction
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