ElizaOS
Open-source multi-agent framework for building autonomous agents
ElizaOS is an open-source platform for building, deploying, and managing AI agents. It includes a CLI, web UI, and plugin-based architecture so you can run agents locally and extend them with integrations and custom logic.
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About
ElizaOS is an open-source framework and platform for developers who want to build multi-agent AI applications. The project describes itself as a full-featured system for creating autonomous agents, chatbots, and agent-powered applications, with a focus on orchestration and extensibility.
It ships with a command-line tool, a web interface, and a backend server, plus a plugin system for adding capabilities. According to the README, you can get started by installing the CLI with Bun, creating a project, adding an API key for a model provider, and starting a local agent server. It also supports running from the monorepo if you want to contribute or build more custom plugins.
This is best understood as a developer framework rather than a polished end-user assistant. It appears strong for teams that want to assemble agents with external connectors, multi-agent coordination, and a local development workflow, but it is not presented as a no-code tool or a finished SaaS product.
The README says ElizaOS is model-agnostic and supports major providers including OpenAI, Gemini, Anthropic, Llama, and Grok. It is MIT licensed and open source. Pricing details beyond that are not publicly described in the provided content. I did not find explicit references to MCP support, enterprise governance features, or privacy/compliance guarantees, so those areas are unclear from the source.
Executes tasks you assign, one step at a time, within narrow domains.
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- Free: Open source under the MIT License. Pricing for hosted services or paid plans was not publicly available in the provided content.
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