defaultmodeAGENT is a Python-based framework designed to simplify the creation of intelligent agents that perform multi-step workflows autonomously. It features default-mode planning—an adaptive strategy for deciding when to explore versus exploit—alongside seamless integration of custom tools and APIs. Agents maintain conversational memory, support dynamic prompting, and offer logging for debugging. Built on top of OpenAI’s API, it allows rapid prototyping of assistants for data extraction, research, and task automation.

Web-Agent is a Node.js library designed to turn natural language instructions into browser operations. It integrates with popular LLM providers (OpenAI, Anthropic, etc.) and controls headless or headful browsers to perform actions like scraping page data, clicking buttons, filling out forms, navigating multi-step workflows, and exporting results. Developers can define agent behaviors in code or JSON, extend via plugins, and chain tasks to build complex automation flows. It simplifies tedious web tasks, testing, and data gathering by letting AI interpret and execute them.

Aura is a developer-focused framework that transforms simple text prompts into executable blockchain operations. It leverages OpenAI’s GPT models to plan and sequence multi-step transactions, such as token swaps, yield farming, and cross-chain bridges, while securely managing private keys. With an extensible plugin architecture, teams can add new adapters for wallets, DeFi protocols, and on-chain data sources. Aura integrates seamlessly as a Node.js library or microservice, enabling web and backend applications to delegate complex DeFi workflows to an AI-powered agent, reducing errors, speeding development, and opening programmable finance to natural language control. Developers simply configure environment variables for API and network credentials, define prompts and tasks in JavaScript, and deploy Aura as part of CI/CD. Real-time logs and error handling allow monitoring and safe production use.

CereBro offers a modular architecture for creating AI agents capable of self-directed task decomposition, persistent memory, and dynamic tool usage. It includes a Brain core managing thoughts, actions, and memory, supports custom plugins for external APIs, and provides a CLI interface for orchestration. Users can define agent goals, configure reasoning strategies, and integrate functions such as web search, file operations, or domain-specific tools to execute tasks end-to-end without manual intervention.