RSS3 Open-Source AI Agent Framework: Revolutionizing Web3 AI Models
The Open-Source AI Agent Framework - OpenAgent
With OpenAgent, customized AI agents can be created for specific needs such as analysis, prediction, content creation, and transaction automation, drastically shortening the development time of AI agents for independent builders from months to hours, leveling the AI playing field.
OpenAgent utilizes a Mixture of Experts (MoE) architecture, which uses a gating network to choose the best expert models for specific tasks. Different expert models are like specialized Lego blocks, each optimized for distinctive functions, working independently yet collaboratively to produce a unified output.
Unlike the popular OpenAI GPT models, any LLM (large language model) can be turned into on-chain AI agents with OpenAgent, creating AI agents with precise outputs for analytical or transactional purposes on top of the usual GPT creative content styles. Examples include natural language initiated on-chain transaction AI, on-chain arbitrage AI, and smart contract analytic AI.
This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.