ChatGBT is a powerful AI chatbot based on GPT architecture, offering free access to various top-tier models like GPT-4, Claude 3, and Meta Llama 3. The platform blends the latest NLP and advanced machine learning algorithms to deliver comprehensive answers and streamline productivity. With features like encrypted conversation history and multilingual support, it ensures a versatile and engaging interaction.

ChatGPT Chat History Search is a powerful Chrome extension designed to streamline your access to previous conversations. It enables users to quickly find dialogues by keywords, filter results, and manage their history efficiently. With this extension, users can experience seamless interactions with ChatGPT, enhancing their productivity and ensuring they never lose track of important information shared in past chats. It's ideal for researchers, content creators, and anyone who wishes to revisit past discussions with ease.

ChatGPT Save & Copy is an innovative extension for Chrome that allows users to effortlessly export their conversations with ChatGPT. You can choose from a variety of formats such as TXT, HTML, PDF, DOC, CSV, MD, JSON, XML, and RTF. This flexibility makes it suitable for various needs, from saving records for academic purposes to sharing insights with colleagues. Just a few clicks can help you retain important chats, making information management more effective.

ChatGPT Spotlight is a Chrome extension designed to improve the accessibility of your ChatGPT conversations. Users can instantly search through their chats and GPTs without the need for a mouse, achieving this through keyboard shortcuts. The tool mimics the efficiency of MacOS Spotlight, making it quick and convenient for users looking for specific chat records or ideas. Its straightforward interface ensures that anyone can utilize it effectively, making it an essential tool for regular ChatGPT users.

Unlock the power of seamless integration with ChatGPT Vision for ALL, an all-in-one Chrome extension. Capture webpage screenshots or selected text for advanced AI-powered content analysis and text optimization. It automates text operations by directly inserting AI-generated outputs back into your webpages. This tool also offers functionalities like conversation history saving, prompt input management, and retry options for desired responses. Whether refining documents, composing emails, or analyzing data, this extension enhances your digital communication and productivity.

Claude Helper enhances your Claude AI experience by allowing seamless folder uploads to Claude projects, equipped with advanced file handling options such as file exclusion by extension or pattern and version control. It also introduces a chat minimap for easy navigation of long conversations, quick project file removal, and customizable settings. This tool ensures that managing files, starting new projects, and navigating through long chat histories are simpler and quicker processes.

Claudify is an all-in-one productivity toolbox for Claude.ai users, designed to simplify and enhance chat experiences. Users can easily download chats in PDF, Markdown, or Text formats, copy entire conversations, disable the Enter key for sending messages, search messages quickly, and manage chat histories. Claudify helps you save time, boost productivity, and stay organized with efficient chat management tools.

Dave-AI聊天助手 integrates multiple AI chat functionalities into a single browser extension. Designed for ease of use, it assists users in managing chat sessions, creating and editing articles, and storing conversation history. By minimizing the hassle of switching between different tools, this extension enhances the overall productivity and creativity of users. The integrated prompt management and historical data features further allow users to save time and focus on meaningful interactions.

Embabel Agent provides a structured approach for building AI agents in Node.js and browser environments. Developers define tools—such as HTTP fetchers, database connectors, or custom functions—and configure agent behaviors through simple JSON or JavaScript classes. The framework maintains conversation history, routes queries to the appropriate tool, and supports plugin extensions. Embabel Agent is ideal for creating chatbots with dynamic capabilities, automated assistants that interact with multiple APIs, and research prototypes that require on-the-fly orchestration of AI calls.

Fabrice AI empowers developers to craft sophisticated AI agent systems leveraging large language models (LLMs) across Node.js and browser contexts. It offers built-in memory modules for retaining conversation history, tool integration to extend agent capabilities with custom APIs, and a plugin system for community-driven extensions. With type-safe prompt templates, multi-agent coordination, and configurable runtime behaviors, Fabrice AI simplifies building chatbots, task automation, and virtual assistants. Its cross-platform design ensures seamless deployment in web applications, serverless functions, or desktop apps, accelerating development of intelligent, context-aware AI services.

LangGraph-Chatchat functions as a memory management plugin for the ChatChat conversational framework, utilizing LangGraph’s graph database model to store and retrieve conversation context. During runtime, user inputs and agent responses are converted into semantic nodes with relationships, forming a comprehensive knowledge graph. This structure allows efficient querying of past interactions based on similarity metrics, keywords, or custom filters. The plugin supports configuration of memory persistence, node merging, and TTL policies, ensuring relevant context retention without bloat. With built-in serializers and adapters, LangGraph-Chatchat seamlessly integrates into ChatChat deployments, providing developers a robust solution for building AI agents capable of maintaining long-term memory, improving response relevance, and handling complex dialog flows.

PersonalAI offers a comprehensive agent framework that combines advanced LLM integrations with persistent semantic memory and an extensible plugin system. Developers can configure memory backends like Redis, SQLite, PostgreSQL, or vector stores to manage embeddings and recall past conversations. Built-in plugins support tasks such as web search, file reading/writing, and Python code execution, while a robust plugin API allows custom tool development. The agent orchestrates LLM prompts and tool invocations in a directed workflow, enabling context-aware responses and automated actions. Use local LLMs via Hugging Face or cloud services via OpenAI and Azure OpenAI. PersonalAI’s modular design facilitates rapid prototyping of domain-specific assistants, automated research bots, or knowledge management agents that learn and adapt over time.

LLMChat.me is an online service that aggregates dozens of open-source large language models into a unified chat interface. Users can select from models such as Vicuna, Alpaca, ChatGLM, and MOSS to generate text, code, or creative content. The platform stores conversation history, supports custom system prompts, and allows seamless switching between different model backends. Ideal for experimentation, prototyping, and productivity, LLMChat.me runs entirely in the browser without downloads, offering fast, secure, and free access to leading community-driven AI models.

OpenAI Agents JS enables developers to construct AI agents by combining OpenAI models with custom toolsets. Agents can process user input, call external APIs, manage stateful conversations with memory modules, and perform tasks like web scraping, code generation, or data lookup. The framework offers a plugin system for registering tools, a standardized Agent class for orchestration, built-in memory abstractions, and support for both chat-based and completion-based models. Features include error recovery, multi-tool orchestration, and customizable middleware. By defining tools and feeding them into the agent instance, you can deploy sophisticated AI-driven workflows in Node.js or browser contexts with minimal boilerplate. Additionally, it simplifies API key management and supports asynchronous operations, allowing agents to execute long-running tasks or integrate with databases and messaging queues effortlessly.

Python AI Agent provides a developer-friendly toolkit to orchestrate autonomous agents driven by large language models. It offers built-in mechanisms for defining custom tools and actions, maintaining conversation history with memory modules, and streaming responses for interactive experiences. Users can extend its plugin architecture to integrate APIs, databases, and external services, enabling agents to fetch data, perform computations, and automate workflows. The library supports configurable pipelines, error handling, and logging for robust deployments. With minimal boilerplate, developers can build chatbots, virtual assistants, data analyzers, or task automators that leverage LLM reasoning and multi-step decision making. The open-source nature encourages community contributions and adapts to any Python environment.

Retry in Another AI is a browser extension that allows users to effortlessly transfer conversations between ChatGPT and Claude. This extension integrates seamlessly with both platforms, adding convenient 'Retry' buttons next to AI responses. By clicking these buttons, users can instantly open their conversation in the other AI platform while preserving the entire conversation history. This tool is perfect for comparing AI responses, getting second opinions, and ensuring continuity even when one service is at capacity.

The AWS Sample Model Context Protocol Demos is an open-source repository showcasing standardized patterns for Large Language Model (LLM) context management and tool invocation. It features two complete demos—one in JavaScript/TypeScript and one in Python—that implement the Model Context Protocol, enabling developers to build AI agents that call AWS Lambda functions, preserve conversation history, and stream responses. Sample code demonstrates message formatting, function argument serialization, error handling, and customizable tool integrations, accelerating prototyping of generative AI applications.

StackMind.AI is an intelligent organizer and search tool for your ChatGPT history. It leverages advanced AI to analyze patterns, automatically creating and organizing folders for your conversations. This Chrome extension allows you to search ChatGPT conversations instantly using a sidebar button or hotkey. Customizable folder structures enable you to manage your chat data locally, keeping it private. Pinning important conversations and efficient AI-search capabilities transform your history into a valuable resource, enhancing productivity and workflow.

Wren is a Python-based AI agent framework designed to help developers create, manage, and deploy autonomous agents. It provides abstractions for defining tools (APIs or functions), memory stores for context retention, and orchestration logic to handle multi-step reasoning. With Wren, you can rapidly prototype chatbots, task automation scripts, and research assistants by composing LLM calls, registering custom tools, and persisting conversation history. Its modular design and callback capabilities make it easy to extend and integrate with existing applications.

The AI Webpage Summarizer - ChatGPT Chrome extension transforms the way you interact with webpage content. Powered by OpenAI's GPT-4, it allows you to access summaries and ask questions directly about the webpage content you are viewing. This tool eliminates the hassle of switching tabs and manually copying text, making it a massive time-saver. You can simplify complex articles, extract key details from LinkedIn profiles, and get quick answers to specific questions regarding the content. It’s easy to use, responsive, and saves conversation history for future reference.