Banana Prompts is an online prompt library designed specifically for Nano Banana AI image generation. It provides users with professionally tested and optimized prompt templates across various artistic styles. Users can browse, filter, and easily copy prompts to generate high-quality images, making the creative process quicker and more efficient. The platform supports prompt discovery for digital artists, content creators, marketers, designers, and hobbyists, enabling them to unlock the full potential of AI-driven image creation.

CrewAI Agent Generator leverages a command-line interface to let you initialize a new AI agent project with opinionated folder structures, sample prompt templates, tool definitions, and testing stubs. You can configure connections to OpenAI, Azure, or custom LLM endpoints; manage agent memory using vector stores; orchestrate multiple agents in collaborative workflows; view detailed conversation logs; and deploy your agents to Vercel, AWS Lambda, or Docker with built-in scripts. It accelerates development and ensures consistent architecture across AI agent projects.

GPTMe provides a robust platform for orchestrating AI agents that retain conversational context, integrate external tools, and expose a consistent API. Developers install a lightweight Python package, define agents with plug-and-play memory backends, register custom tools (e.g., web search, database queries, file operations), and spin up a local or cloud service. GPTMe handles session tracking, multi-step reasoning, prompt templating, and model switching, delivering production-ready assistants for customer service, productivity, data analysis, and more.

micro-agent provides a minimalistic yet powerful set of abstractions for creating autonomous AI agents. Built in TypeScript, it runs seamlessly in both browser and Node.js contexts, allowing you to define agents with custom prompt templates, decision logic, and extensible tool integrations. Agents can leverage chain-of-thought reasoning, interact with external APIs, and maintain conversational or task-specific memory. The library includes utilities for handling API responses, error management, and session persistence. With micro-agent, developers can prototype and deploy agents for a range of tasks—such as automating workflows, building conversational interfaces, or orchestrating data-processing pipelines—without the overhead of larger frameworks. Its modular design and clear API surface make it easy to extend and integrate into existing applications.

AI-Agent-Framework offers a comprehensive foundation for building AI-powered agents in Python. It includes modules for managing conversation memory, integrating external tools, and constructing prompt templates. Developers can connect to various LLM providers, equip agents with custom plugins, and orchestrate multiple agents in coordinated workflows. Built-in logging and monitoring tools help track agent performance and debug behaviors. The framework's extensible design allows seamless addition of new connectors or domain-specific capabilities, making it ideal for rapid prototyping, research projects, and production-grade automation.

AI-OnChain-Agent integrates OpenAI GPT models with Web3 protocols to create autonomous blockchain agents. It connects to Ethereum networks via configurable RPC endpoints, uses LangChain for prompt orchestration, and Ethers.js/Hardhat for smart contract interactions. Developers can specify trading or governance strategies through prompt templates, monitor token metrics in real time, sign transactions with private keys, and execute buy/sell or stake/unstake operations. Detailed logs track decisions and on-chain results, and the modular design supports extending to oracles, liquidity management, or automated governance voting across multiple DeFi protocols.

Exo is a developer-centric framework enabling the creation of AI-driven agents capable of communicating with users, invoking external APIs, and preserving conversational context. At its core, Exo uses TypeScript definitions to describe tools, memory layers, and dialogue management. Users can register custom actions for tasks like data retrieval, scheduling, or API orchestration. The framework automatically handles prompt templates, message routing, and error handling. Exo’s memory module can store and recall user-specific information across sessions. Developers deploy agents in Node.js or serverless environments with minimal configuration. Exo also supports middleware for logging, authentication, and metrics. Its modular design ensures components can be reused across multiple agents, accelerating development and reducing redundancy.

Claude Code MCP (Memory Context Provider) is a Python-based CLI tool designed to streamline interactions with Anthropic’s Claude Code model. It offers persistent conversation history, reusable prompt templates, and utilities for generating, reviewing, and refactoring code. Developers can invoke commands for code generation, automated edits, diff comparisons, and inline explanations, while extending functionality through a plugin system. MCP simplifies integrating Claude Code into development pipelines for more consistent, context-aware coding assistance.

PHP AI Tool Bridge is a flexible PHP framework designed to abstract away the complexity of interacting with various AI and large language model APIs. By defining a standard AiTool interface, it allows developers to switch between providers such as OpenAI, Azure OpenAI, and Hugging Face without modifying business logic. The library includes support for prompt templates, parameter configuration, streaming, function calls, request caching, and logging. It also features a tool execution pattern that enables chaining multiple AI tools, building conversational agents, and managing state through memory stores. PHP AI Tool Bridge accelerates the development of AI-powered features by reducing boilerplate and ensuring consistent API usage.

AgentIn is a Python-based AI agent framework designed to accelerate the development of conversational and task-driven agents. It offers built-in memory modules to persist context, dynamic tool integration to call external APIs or local functions, and a flexible prompt templating system for customized interactions. Multi-agent orchestration enables parallel workflows, while logging and caching improve reliability and auditability. Easily configurable via YAML or Python code, AgentIn supports major LLM providers and can be extended with custom plugins for domain-specific capabilities.

Micro-agent is a lightweight, unopinionated JavaScript library designed to simplify the creation of sophisticated AI agents using large language models. It exposes core abstractions such as agents, tools, planners, and memory stores, allowing developers to assemble custom conversational flows. Agents can invoke external APIs or internal utilities as tools, enabling dynamic data retrieval and action execution. The library supports both short-term conversational memory and long-term persistent memory to maintain context across sessions. Planners orchestrate chain-of-thought processes, breaking down complex tasks into tool calls or language model queries. With configurable prompt templates and execution strategies, micro-agent adapts seamlessly to frontend web applications, Node.js services, and edge environments, providing a flexible foundation for chatbots, virtual assistants, or autonomous decision-making systems.

The ChatGPT Sidebar - Model Aggregation offers a comprehensive chatbot experience directly from your browser sidebar. Supporting multiple models such as ChatGPT 3.5, GPT-4, Google Gemini, and more, it enables users to overcome domestic connection restrictions. With features including diverse output formats, cloud-stored chat history, and rich prompt templates, users can easily interact with advanced AI models. The sidebar display ensures it won't disrupt your browsing, making it an efficient tool for various use cases.

Lekt.ai is a comprehensive AI-powered platform that integrates multiple top AI models such as ChatGPT-4, Gemini Pro, and Claude. Designed for both casual and professional use, it supports natural conversations, text generation, coding, data analysis, and high-quality image creation through models like FLUX, DALL-E 3, and Stable Diffusion. The platform prioritizes ease of use and privacy, making it accessible on all devices. Core features include prompt templates, voice communication, web search, and an ad-free experience ensuring user data protection.

Prompt Inspector is an AI-powered tool that delivers next-gen prompt analysis, detailed user behavior insights, and ethical content filtering. It allows businesses to gain deep insights into user behavior and prompt patterns, providing valuable data to enhance AI responses and improve user experiences. With features like auto-categorization, detailed reporting, and comprehensive user analytics, Prompt Inspector is ideal for furthering the development of AI applications and optimizing their user interactions.

AIPRM for SEO is a powerful Chrome extension designed to streamline and enhance your ChatGPT experience. It provides a curated library of prompt templates specifically aimed at SEO professionals. By integrating AIPRM for SEO into your browser, you can effortlessly access advanced features and prompts, saving time and boosting productivity.

Team-GPT provides a platform for seamless collaboration through group chats with ChatGPT. Teams can interact, organize chats in folders, and share knowledge easily. The platform aims to enhance team AI skills with learning resources and prompt templates. It's designed to integrate into daily workflows to boost understanding and adoption of AI technologies within teams.

ChatKit is a sophisticated application designed to refine your ChatGPT experience. It supports various AI models, including OpenAI, Gemini, and Azure models. With features such as prompt templates, chat bookmarks, text-to-speech, and voice input, ChatKit aims to create a seamless and efficient chat experience. Users have the flexibility to use their API keys or ChatKit credits, incorporating advanced functionalities like URL context, full-text search in chat history, and real-time chat capabilities.

TeamPrompt is a web-based platform designed to help teams collaborate and manage ChatGPT prompts effectively. It provides a comprehensive prompt library and chatbot capabilities, allowing users to find, create, and share prompt templates within their team and with the wider community. By streamlining prompt creation and management, TeamPrompt enhances productivity and creative output, making prompt-based tasks easier and more efficient for users across various industries.