ASI:One

ASI:One is Fetch. AI's personal and developer-facing AI system that combines a consumer assistant, an agentic large language model, and a decentralized agent marketplace. It remembers user preferences, coordinates with other AIs, and executes multi-step tasks instead of stopping at suggestions. Built as a Web3-native stack, it ties persistent memory, autonomous agents, and ownership-aware data handling into one service for individuals, teams, and builders.

What is ASI:One? ASI:One is Fetch. AI's personal and developer-facing AI system that combines a consumer assistant, an agentic large language model, and a decentralized agent marketplace. It remembers user preferences, coordinates with other AIs, and executes multi-step tasks instead of stopping at suggestions. Built as a Web3-native stack, it ties persistent memory, autonomous agents, and ownership-aware data handling into one service for individuals, teams, and builders. Key Features: Agentic LLM core: Routes requests through specialized agents, plans multi-step workflows, and coordinates actions via the Agentverse marketplace. Persistent memory and knowledge graph: Stores structured preferences, history, and entities so the assistant and APIs maintain long-term context. Personal AI apps: iOS, Android, and web clients let users chat, plan events, and manage tasks with their own customizable AI. Multimodal and agent tools: Supports text generation, image generation, and calls out to third-party agents for research, travel, finance, and more. Pros Action-focused assistant: Moves beyond chat by actually scheduling, coordinating, and executing tasks through connected agents. Long-term personalization: Persistent memory means recommendations and plans feel more tailored over time without constant re-prompting.