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.

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.

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.

Microsoft Copilot is a powerful AI agent designed to improve productivity within Microsoft applications like Word, Excel, and Outlook. It offers features such as natural language processing, task automation, content generation, and data analysis. Users can engage with Copilot to draft documents, create spreadsheets, and manage emails more efficiently by simply providing prompts. Copilot's ability to understand context allows it to deliver insights and recommendations that help users make informed decisions quickly.

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.

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.

DopplerAI is an advanced API designed to help developers create sophisticated Large Language Model (LLM) applications. It includes built-in memory capabilities and vector search, providing a robust framework for developing chatbots, virtual assistants, and other interactive AI applications. With DopplerAI, users can achieve better context retention in conversations and more accurate information retrieval, improving the overall user experience and functionality of AI-driven applications.

Free AI Chat provides unlimited text and voice conversations and high-quality image generation, all without any sign-ups or ads. Engage with advanced AI for natural, context-aware dialogues, and unleash your creativity with endless image generation. No subscriptions, hidden costs, or advertisements; just pure, unfiltered access to powerful AI tools. Customize AI personas to match your preferences or create unique personalities for a personalized experience. Stay informed with integrated web search capabilities, and interact seamlessly using advanced speech recognition and text-to-speech synthesis.

GPT-4O Life is a state-of-the-art AI system that combines multiple functionalities including text, vision, and audio processing into a single neural network. Unlike its predecessors, GPT-4O Life can retain information over extended interactions, making it highly efficient for tasks that require contextual awareness and personalized responses. This advanced memory feature and cost-effective approach make it a compelling option for developers and end-users 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.

js-agent provides developers with a minimalistic yet powerful toolkit to create autonomous AI agents in JavaScript. It offers abstractions for conversation memory, function-calling tools, customizable planning strategies, and error handling. With js-agent, you can quickly wire up prompts, manage state, invoke external APIs, and orchestrate complex agent behaviors through a simple, modular API. It's designed to run in Node.js environments and integrates seamlessly with the OpenAI API to power intelligent, context-aware agents.

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.