Vibe PRD is an AI agent designed for product teams to create complete product requirement documents in minutes. Users provide a prompt or basic project summary, and Vibe PRD generates detailed sections including an executive summary, objectives, KPIs, target user personas, user journey maps, use case scenarios, feature breakdowns with functional and non-functional requirements, development milestones, and acceptance criteria. Vibe PRD supports customization of document templates, versioning, and export to multiple formats such as Markdown and PDF. By automating repetitive tasks, Vibe PRD reduces documentation time, enhances collaboration, and ensures consistency across product initiatives.

ZappyChat is an all-encompassing AI platform designed to help businesses build advanced AI agents that can interact with customers and leads 24/7. This platform not only assists in managing interactions but also provides tools for reselling these conversational technologies. With ZappyChat, businesses can boost customer engagement, streamline booking processes, and ultimately drive sales by offering personalized and instantaneous responses, thanks to its integration with OpenAI.

ZhipuAI Agent to OpenAI is a specialized agent framework designed to bridge ZhipuAI’s chat completion services with OpenAI-style agent interfaces. It provides a Python SDK that mirrors OpenAI’s function calling paradigm and supports third-party tool integrations, enabling developers to define custom tools, call external APIs, and maintain conversation context across turns. The framework handles request orchestration, dynamic prompt construction, and response parsing, returning structured outputs compatible with OpenAI’s ChatCompletion format. By abstracting API differences, it allows seamless leveraging of ZhipuAI’s Chinese-language models within existing OpenAI-oriented workflows. Ideal for building chatbots, virtual assistants, and automated workflows that require Chinese LLM capabilities without changing established OpenAI-based codebases.

AgentSmith is a modular agent orchestration framework built in Python that enables developers to define, configure, and run multiple AI agents collaboratively. Each agent can be assigned specialized roles—such as researcher, planner, coder, or reviewer—and communicate via an internal message bus. AgentSmith supports memory management through vector stores like FAISS or Pinecone, task decomposition into subtasks, and automated supervision to ensure goal completion. Agents and pipelines are configured via human-readable YAML files, and the framework integrates seamlessly with OpenAI APIs and custom LLMs. It includes built-in logging, monitoring, and error handling, making it ideal for automating software development workflows, data analysis, and decision support systems.

AI Telegram Assistant is a self-hosted Telegram bot powered by OpenAI's ChatGPT and DALL·E APIs, designed to deliver a seamless AI chat and image creation experience. Users can install the bot on their servers, configure it with their OpenAI keys, and invite it to private or group chats. With support for conversation history, custom commands, and multi-language responses, the assistant can automate customer support, content moderation, creative brainstorming, and more, all within the familiar Telegram interface.

aigitcommit uses OpenAI's GPT API to scan your Git staged changes and automatically generate concise, descriptive commit messages. Once installed and configured with your API key, it hooks into your Git workflow to parse diff hunks and produce context-aware suggestions, which you can review, edit, and finalize. It supports model and temperature customization, commit template integration, and batch generation for multiple commits. Ideal for solo developers and teams, it streamlines commit history maintenance, enhances code documentation consistency, and reduces cognitive load by offloading message crafting to AI.

AIProxy offers a fully managed proxy service to securely handle your OpenAI keys. With features like split key encryption, DeviceCheck, and certificate pinning, it mitigates the risk of key abuse or theft. This service eliminates the need for managing your own backend, providing a streamlined and secure way to integrate OpenAI functionalities into your applications.

BabyAGI Chroma Agent is a Python-based AI agent system designed to autonomously manage and execute multi-step tasks. It generates new tasks from the outcomes of prior tasks, prioritizes them, and executes each in sequence using OpenAI’s language models. The agent stores detailed task results and contextual embeddings in a Chroma vector database, supporting memory retrieval and refining future task decisions. With simple configuration, users define an initial objective and prompt, and the agent orchestrates the workflow, iteratively solving complex problems, gathering information, generating content, or performing research. Its modular design allows developers to extend and integrate custom tools, making it suitable for automated data collection, content production, and workflow automation.

ComfyUI Copilot leverages AI language models to translate descriptive user prompts into fully assembled ComfyUI node graphs tailored for Stable Diffusion-based image generation. Users input a textual description of the desired visual output, and the Copilot extension communicates with APIs like OpenAI to generate a sequence of processing nodes, including denoising, upscaling, inpainting, and style adjustments. The generated graph is optimized for efficiency and quality, allowing users to preview and fine-tune parameters directly within ComfyUI’s interactive interface. This approach eliminates the need for manual node-by-node assembly, reduces setup time, and lowers the learning curve for beginners, while offering advanced users a rapid prototyping tool to iterate on creative concepts for image synthesis projects.

TinyAuton provides a minimal, extensible architecture for building autonomous agents that plan, execute, and refine tasks using OpenAI’s GPT models. It offers built-in modules for defining objectives, managing conversation context, invoking custom tools, and logging agent decisions. Through iterative self-reflection loops, the agent can analyze outcomes, adjust plans, and retry failed steps. Developers can integrate external APIs or local scripts as tools, set up memory or state, and customize the agent’s reasoning pipeline. TinyAuton is optimized for rapid prototyping of AI-driven workflows, from data extraction to code generation, all within a few lines of Python.

Divine Agent is a comprehensive AI agent platform that simplifies the design, development, and deployment of autonomous digital workers. Through its intuitive visual workflow builder, users can define agent behavior as a sequence of nodes, connect to any REST or GraphQL API, and select from supported LLMs like OpenAI and Google PaLM. The built-in memory module preserves context across sessions, while real-time analytics track usage, performance, and errors. Once tested, agents can be deployed as HTTP endpoints or integrated with channels like Slack, email, and custom applications, enabling rapid automation of customer support, sales, and knowledge tasks.

Discord AI Agent leverages the Discord API and OpenAI-compatible LLMs to transform any server into an interactive AI chat environment. Developers can register custom plugins to handle slash commands, message events, or scheduled tasks, while built-in memory storage retains conversation context for coherent multi-turn dialogues. The framework supports asynchronous execution, configurable models, prompt templates, and logging for debugging. By editing a single YAML or JSON configuration, you can define API keys, model preferences, command prefixes, and plugin directories. Its extension-friendly architecture allows adding specialized functionality such as moderation, trivia games, or customer support bots. Whether running locally or deploying on cloud platforms, Discord AI Agent simplifies the process of building flexible, maintainable AI agents for community engagement.

DND LLM Game leverages large language models to serve as an AI Dungeon Master, dynamically crafting narrative descriptions, quests, and encounters in response to player prompts. It integrates with OpenAI's GPT API and supports customization of adventure settings, difficulty levels, and NPC personalities. As players describe actions or ask questions in the chat interface, the AI generates vivid scene details, dialogues, and branching story paths on the fly. Developers and game masters can configure the engine via Python scripts, adjust model parameters, and extend the framework to include custom modules, making it a flexible tool for solo RPG sessions or AI-assisted tabletop campaigns.

Duet GPT is a Python-based open source framework for orchestrating multi-agent conversations between two GPT models. You define distinct agent roles, customized with system prompts, and the framework manages turn-taking, message passing, and conversation history automatically. This cooperative structure accelerates complex task resolution, enabling comparative reasoning, critique cycles, and iterative refinement through back-and-forth exchanges. Its seamless OpenAI API integration, simple configuration, and built-in logging make it ideal for research, prototyping, and production workflows in coding assistance, decision support, and creative ideation. Developers can extend the core classes to integrate new LLM services, adjust the iterator logic, and export transcripts in JSON or Markdown formats for post-analysis.

GPT AppStore provides a platform for users to build their own GPT-3 applications without requiring any coding expertise. By entering an OpenAI key and a prompt, users can create and publish their GPT-based applications. These applications are then searchable and accessible to other users on the platform. This service promotes creativity, enabling users to share and discover a wide range of GPT-3 solutions across various categories such as productivity, education, and entertainment.

openai-agents-python is a comprehensive Python package designed to help developers construct fully autonomous AI agents. It provides abstractions for agent planning, tool integration, memory states, and execution loops. Users can register custom tools, specify agent goals, and let the framework orchestrate step-by-step reasoning. The library also includes utilities for testing and logging agent actions, making it easier to iterate on behaviors and troubleshoot complex multi-step tasks.

MASChat provides a flexible framework for orchestrating conversations among multiple AI agents powered by language models. Developers can define agents with specific roles—such as researcher, summarizer, or critic—and specify their prompts, permissions, and communication protocols. MASChat’s central manager handles message routing, ensures context preservation, and logs interactions for traceability. By coordinating specialized agents, MASChat decomposes complex tasks—like research, content creation, or data analysis—into parallel workflows, improving efficiency and insight. It integrates with OpenAI’s GPT APIs or local LLMs and allows plugin extensions for custom behaviors. MASChat is ideal for prototyping multi-agent strategies, simulating collaborative environments, and exploring emergent behaviors in AI systems.

mini-agi is designed to simplify the creation of autonomous AI agents by providing a minimal, modular framework. Built in Python, it leverages OpenAI’s language models to interpret high-level goals, decompose them into sub-tasks, and orchestrate tool calls such as HTTP requests, file operations, or custom actions. The framework includes memory storage to track agent state and results, a planner module for task decomposition with cost-based heuristics, and an executor module that sequentially invokes tools. With configuration files, users can inject custom tools, define prompt templates, and adjust planning depth. mini-agi’s lightweight architecture makes it ideal for prototyping AI agents that perform research queries, automate workflows, or generate code autonomously.

Morph helps users quickly build AI apps that can be securely deployed with ease. The platform supports connections to data sources like BigQuery and Snowflake, and allows for data processing using OpenAI APIs and ML models in Python. With Morph, you can create interactive screens in Markdown and share them via URLs. Additionally, the framework comes pre-equipped with role-based access control and advanced security features to ensure your data is protected.

OCO-Agent leverages OpenAI-compatible language models to transform plain-language prompts into actionable workflows. It provides a flexible plugin system for integrating external APIs, shell commands, and data-processing routines. The framework maintains conversation history and context in memory, enabling long-running, multi-step tasks. With a CLI interface and Docker support, OCO-Agent accelerates prototyping and deployment of intelligent assistants for operations, analytics, and developer productivity.