EVE AI is a Chrome browser extension offering a powerful, customizable AI assistant. It allows users to define the AI's role, context, and behavior via customizable system prompts for a truly personalized experience. Integrated directly into your browser, it eliminates the need to switch between websites or apps, ensuring your AI assistant is always at your fingertips. With a focus on privacy, EVE AI uses stateless interactions, ensuring no data is stored on servers, and all information is saved locally on your device. Users can choose from various AI models like GPT-4o, Gemini, and Claude 3.5 Sonnet and fine-tune parameters to achieve optimal results.

FreeThinker provides a modular architecture for defining AI agents that can autonomously execute tasks by leveraging large language models, memory modules, and external tools. Developers can configure agents via Python or YAML, plug in custom tools for web search, data processing, or API calls, and utilize built-in planning strategies. The framework handles step-by-step execution, context retention, and result aggregation so agents can operate hands-free on research, automation, or decision-support workflows.

LangMem provides specialized memory management capabilities for AI agents, enabling them to retain and recall vast amounts of information. This tool allows users to add memories, modify existing information, and retrieve memories based on specific queries. By integrating memory into AI processes, LangMem enhances the contextual understanding and relevance of responses, making it invaluable for applications that require continuous learning and adaptation.

Suada is an advanced AI agent specialized in enhancing conversations across different platforms. It uses machine learning algorithms to understand context and sentiment, delivering tailored responses that foster engagement and understanding. Suada is designed for both personal and professional use, helping users generate meaningful interactions, gain insights, and improve communication efficiency.

A-Mem is designed to seamlessly integrate with Python-based AI agent frameworks, offering three distinct memory modules: episodic memory for per-episode context, short-term memory for immediate past actions, and long-term memory for accumulating knowledge over time. Developers can customize memory capacity, retention policies, and serialization backends such as in-memory or Redis storage. The library includes efficient indexing algorithms to retrieve relevant memories based on similarity and context windows. By inserting A-Mem’s memory handlers into the agent’s perception-action loop, users can store observations, actions, and outcomes, then query past experiences to inform current decisions. This modular design supports rapid experimentation in reinforcement learning, conversational AI, robotics navigation, and other agent-driven tasks requiring context awareness and temporal reasoning.

Agent Forge provides a modular architecture for defining, executing, and coordinating AI agents. It offers built-in task orchestration APIs to sequence and parallelize operations, memory modules for long-term context retention, and a plugin system to integrate external services (e.g., LLMs, databases, third-party APIs). Developers can rapidly prototype, test, and deploy agents in production, weaving together complex workflows without managing low-level infrastructure.

ModelScope Agent provides a modular, Python‐based framework to orchestrate autonomous AI agents. It features plugin integration for external tools (APIs, databases, search), conversation memory for context preservation, and customizable agent chains to handle complex tasks such as knowledge retrieval, document processing, and decision support. Developers can configure agent roles, behaviors, and prompts, as well as leverage multiple LLM backends to optimize performance and reliability in production.

GPTTurkey.net is a versatile AI-powered tool designed to enhance engagement with the Turkish language and culture. It is useful for various applications such as improving English-Turkish communication, providing travel guides, offering legal advice, and sharing local recipes. Its advanced AI capabilities ensure accurate and contextually appropriate responses, making it an essential tool for both locals and visitors.

Chrome ChatGPT by Codable lets users harness the power of AI directly within their browser. This extension acts as an intelligent assistant, capable of answering questions, summarizing information, and providing suggestions in real-time. It integrates seamlessly into the browsing experience, making it easier than ever to interact with the web. The AI is designed to understand context and deliver relevant information promptly, enhancing productivity and user engagement while online. Whether you're researching, writing, or just exploring, this tool keeps you informed and efficient.

This project demonstrates a comprehensive framework for creating retrieval-augmented AI agents using LlamaIndex. It guides developers through the entire workflow, starting with document ingestion and vector store creation, followed by defining a custom agent loop for contextual question-answering. Leveraging LlamaIndex's powerful indexing and retrieval capabilities, users can integrate any OpenAI-compatible language model, customize prompt templates, and manage conversation flows via a CLI interface. The modular architecture supports various data connectors, plugin extensions, and dynamic response customization, enabling rapid prototyping of enterprise-grade knowledge assistants, interactive chatbots, and research tools. This solution streamlines building domain-specific AI agents in Python, ensuring scalability, flexibility, and ease of integration.

FormWise streamlines the creation of AI-powered forms and tools, enabling users to transform their ChatGPT prompts into functional, white-label software. Ideal for non-technical users, it provides powerful data handling capabilities, easy integration with existing platforms, and customizable form-based tools. Users can upload data in various formats (PDFs, CSVs, TXT) to enhance the AI's contextual understanding. Whether for generating client-specific toolkits or embedding dynamic lead gen forms on landing pages, FormWise aims to democratize access to AI and empower its users to monetize their AI tools effectively.

CamelAGI is an open-source framework designed to simplify the creation of autonomous AI agents. It features a plugin architecture for custom tools, long-term memory integration for context persistence, and support for multiple large language models such as GPT-4 and Llama 2. Through explicit planning and execution modules, agents can decompose tasks, call external APIs, and adapt over time. CamelAGI’s extensibility and community-driven approach make it suitable for research prototypes, production systems, and educational projects alike.

Intrvuz is a SAAS-based platform designed to automate the candidate screening and interview process using Contextual AI. The platform allows recruiters to bulk screen resumes instantly, conduct video interviews, and provides real-time assessments and feedback. This innovative approach helps organizations make informed hiring decisions while reducing the time and effort involved in manual screening, thereby increasing overall efficiency and candidate experience.

Langroid provides a comprehensive agent framework that empowers developers to build sophisticated AI-driven applications with minimal overhead. It features a modular design allowing custom agent personas, stateful memory for context retention, and seamless integration with large language models (LLMs) such as OpenAI, Hugging Face, and private endpoints. Langroid’s toolkits enable agents to execute code, fetch data from databases, call external APIs, and process multimodal inputs like text, images, and audio. Its orchestration engine manages asynchronous workflows and tool invocations, while the plugin system facilitates extending agent capabilities. By abstracting complex LLM interactions and memory management, Langroid accelerates the development of chatbots, virtual assistants, and task automation solutions for diverse industry needs.

LAuRA streamlines the creation of intelligent AI agents by offering a structured pipeline of planning, retrieval, execution, and memory management modules. Users define complex tasks which LAuRA’s Planner decomposes into actionable steps, the Retriever fetches information from vector databases or APIs, and the Executor invokes external services or tools. A built-in memory system maintains context across interactions, enabling stateful and coherent conversations. With extensible connectors for popular LLMs and vector stores, LAuRA supports rapid prototyping and scaling of custom agents for use cases like document analysis, automated reporting, personalized assistants, and business process automation. Its open-source design fosters community contributions and integration flexibility.

Orian (Ollama WebUI) is an innovative Chrome extension that merges AI power with user convenience. It offers intuitive interfaces to interact with AI models seamlessly, enhancing tasks like emailing, searching, and more. The extension integrates directly into your browser, allowing for contextual interactions with websites while providing real-time AI assistance. With Orian, users can efficiently manage tasks through an enhanced user experience, ultimately streamlining productivity.

Stellar Chat empowers teams to build conversational AI agents by providing a robust framework that abstracts LLM interactions, memory management, and tool integrations. At its core, it features an extensible pipeline that handles user input preprocessing, context enrichment through vector-based memory retrieval, and LLM invocation with configurable prompting strategies. Developers can plug in popular vector storage solutions like Pinecone, Weaviate, or FAISS, and integrate third-party APIs or custom plugins for tasks like web search, database queries, or enterprise application control. With support for streaming outputs and real-time feedback loops, Stellar Chat ensures responsive user experiences. It also includes starter templates and best-practice examples for customer support bots, knowledge search, and internal workflow automation. Deployed with Docker or Kubernetes, it scales to meet production demands while remaining fully open-source under the MIT license.