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ElizaOS:构建与运行自主智能体
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查看原文 ElizaOS:构建与运行自主智能体
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最近提交10-27 15:39提交时间不是项目发布时间
发布时间:未知 · 首次发现 10-27 15:45 · 北京时间
指标采集:10-27 15:46 · 指标已取得
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摘要
ElizaOS是TypeScript智能体框架及应用套件,提供运行时、CLI、插件和云服务。材料给出从源码启动开发环境的命令,也介绍本地智能体运行方式与基准测试入口。
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| 采集时间 · 北京时间 | 指标 | 数值 | 来源 | 状态 |
|---|---|---|---|---|
| 10-27 15:46:00 | Star | 19,664 | GitHub 公开页面 | 已取得 |
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eliza
Open source agentic operating system
项目说明 展开 / 收起
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 required contribution rules and 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 dev:local # app + API with the runtime chooser (local agent, own provider keys; Cloud sign-in not required) bun run start # run the standalone agent host (API only, no UI; use bun run dev for the app) bun run build # build the workspace with Turbo bun run verify # dependency, type, lint, and audit gates bun run test # repository end-to-end 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 packages/os owns bootable Linux and AOSP distributions, installers, release manifests, and OS toolchains. Application shells and native runtime bridges live in their owning app and plugin packages. 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. Read that README before making changes. The root AGENTS.md is the only repository agent guide; do not add nested AGENTS.md files. Contributing Important The contribution rules are required for all issues and PRs. Stay within the approved minimum viable product (MVP) and product requirements document (PRD). Maintainers will close unnecessary work and apply contributor penalties. Contributors must write and