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elizaOS

elizaOS

Your agentic operating system.

Eliza · Eliza Cloud · elizaOS downloads · Documentation

elizaOS is an open-source TypeScript framework and product stack for autonomous AI agents. This monorepo contains the core runtime, the Eliza app, the CLI, cloud services, native bridges, and first-party plugins. Linux and Android distribution tooling lives in packages/os.

Choose a starting point

Goal Start here
Use Eliza Open the web app, visit Eliza downloads, or use a published GitHub release
Run this repository Follow Run Eliza from source
Build an agent or plugin Start with the runtime and the developer docs
Contribute Read the repository guide in AGENTS.md
Run a whole device as elizaOS Start with the build requirements and target guides in packages/os

Run Eliza from source

The repository pins Bun and Node versions in package.json. Install those versions, then:

git clone --filter=blob:none https://github.com/elizaos/eliza.git
cd eliza
bun install
bun run dev

bun install also prepares submodules and patches, provisions supported host build prerequisites, and builds or verifies the staged desktop libelizainference. The embedding GGUF remains runtime-managed and downloads automatically during local-inference warmup. Fetch archived artifact fixtures explicitly with bun packages/scripts/fetch-archive-artifacts.ts when needed.

Common repository commands:

bun run start       # run the standalone agent host
bun run build       # build the workspace with Turbo
bun run verify      # dependency, type, lint, and audit gates
bun run test        # repository unit/integration test lane
bun run test:e2e    # end-to-end lane
bun run cloud:mock  # local Eliza Cloud stack with mocks

Package build/test commands are in each package's README. Use bun run --cwd <package> <script> to scope a command.

Benchmark

Use Python 3.11+ and install the dependencies required by the selected suite, then run from the repository root:

PYTHONPATH=packages python3 -m benchmarks.orchestrator list-benchmarks
PYTHONPATH=packages python3 -m benchmarks.orchestrator run --benchmarks <id> --provider <provider> --model <model>

See benchmarks for setup. Live benchmarks require the selected provider's credentials and may incur usage costs.

What is in the stack?

Eliza

Eliza is the user-facing agent app for web, desktop, and mobile targets. Its capabilities are supplied by the runtime and installed plugins, including:

  • chat, voice, memory, knowledge, and document workflows;
  • messaging and workspace connectors;
  • calendar, reminders, inbox, goals, health, and other personal-assistant domains;
  • browser and desktop automation;
  • camera, phone, messages, contacts, location, and other native device bridges;
  • non-custodial EVM and Solana wallet operations with approval boundaries; and
  • scheduled workflows, coding-agent orchestration, and installable app views.

Availability depends on the operating system, installed plugins, granted permissions, and configured model or service providers. Package-level READMEs document the exact support and setup for each capability.

The framework

The framework is model-agnostic and extended through plugins:

  • @elizaos/core defines AgentRuntime, the canonical types, authorization, memory and state primitives, and plugin contracts.
  • @elizaos/agent assembles a standalone agent and HTTP backend around the core runtime.
  • @elizaos/app provides shared application hosting, API, and platform orchestration for Eliza app targets.
  • @elizaos/ui contains the shared React UI used by app surfaces.

A plugin exports a Plugin object. Plugins can register actions, providers, evaluators, services, model handlers, routes, events, tests, and app views. See the plugin component guide and the first-party implementations under plugins/.

Local inference

@elizaos/plugin-local-inference provides the Eliza-1 on-device path. The current Eliza-1 registry contains 2B, 4B, 9B, and 27B text tiers based on Gemma 4, plus local embeddings, speech, vision, and image-generation assets. Hardware detection and model routing select supported backends; after the required assets are downloaded, eligible operations can run without a network connection.

Local inference is not forced on hardware that cannot support it. Eliza can route each model capability to local, direct-provider, or Eliza Cloud backends.

Eliza Cloud

Eliza Cloud is optional. It provides account and authentication services, hosted model routing, application and agent deployment, remote connectivity, and cross-device product services. The local runtime and direct model-provider configuration remain first-class paths.

elizaOS distributions

The standalone elizaOS/os repository owns bootable Linux and AOSP distributions, installers, release manifests, and OS toolchains. This monorepo retains the Eliza application shells and native runtime bridges used by desktop, iOS, Android, and device integrations.

Build an agent

To embed the runtime directly without an application host, import @elizaos/core. The scenario runner provides executable integration coverage against a real runtime and, when configured, live models.

Repository map

packages/        runtime, hosts, UI, CLI, docs, cloud, native code, and tooling
plugins/         first-party model, connector, domain, app, and device plugins
packages/scripts/ repository-wide checks, test orchestration, and release tools
patches/         dependency patches applied during installation

Every maintained package or plugin should explain its public surface, scripts, configuration, and local constraints in its own README.md and paired AGENTS.md. Read the nearest package guide before making changes.

Contributing

elizaOS focuses on its first-party runtime, applications, and maintained integrations. We no longer accept third-party plugins or registry items, including new listings, listing updates, and registry submission tooling. Related issues and pull requests will be closed as out of scope.

Submit changes through a pull request against develop; follow AGENTS.md and the owning package's guide. Include verification of the changed behavior.

Report vulnerabilities privately through GitHub Security Advisories or security@elizalabs.ai.

License

MIT

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