Autonomys Agents empowers developers to create autonomous AI agents capable of executing complex tasks without manual intervention. Built on Python, the framework provides tools for defining agent behaviors, integrating external APIs and custom functions, and maintaining conversational memory across interactions. Agents can collaborate in multi-agent setups, sharing knowledge and coordinating actions. Observability modules offer real-time logging, performance tracking, and debugging insights. With its modular architecture, teams can extend core components, incorporate new LLMs, and deploy agents across environments. Whether automating customer support, performing data analysis, or orchestrating research workflows, Autonomys Agents streamlines end-to-end development and management of intelligent autonomous systems.

Crab AI Agent enables developers to enhance their coding efficiency by offering real-time code suggestions, auto-completion, and debugging insights. With its ability to understand context and provide relevant examples, Crab simplifies complex coding tasks and helps identify errors quickly, ultimately improving workflow and productivity for software projects.