Eliza is an open-source TypeScript framework for building autonomous AI agents that operate across multiple platforms and integrations.
The tool addresses the need for a unified runtime environment where AI agents can interact with users, access external services, and perform autonomous tasks. It works by providing a core agent framework extended through a plugin architecture, allowing developers to compose agents with capabilities like messaging connectors, memory management, knowledge retrieval, wallet operations, and device automation. The framework remains model-agnostic, supporting different AI backends through configuration.
Developers building multi-platform chatbots or autonomous agents that need to integrate with Discord, Slack, Telegram, and other services should consider this tool. It suits projects requiring non-custodial cryptocurrency operations, personal assistant workflows, or browser and desktop automation. The project includes a web app, desktop and mobile distributions, and a CLI for building custom agents and plugins. A separate repository provides bootable Linux and Android distributions for running the entire stack as an operating system.
The project's issue tracker is primarily shaped by internal planning rather than external user demand, with most issues raised by the team itself. Maintainers respond to new issues and pull requests within hours. Work in the tracker concentrates on bug fixes, memory management, and plugin development.
