About ClawAI
关于人工智能编排平台
了解平台为何把供应商选择、面向任务的模型路由、可重复使用的上下文以及私有部署选项整合到一个实用工作空间中，并说明这些能力如何共同支持日常工作与团队协作，帮助不同任务保持连续的上下文。
Last reviewed:
A practical control plane for AI work
ClawAI brings conversations, model routing, files, memory, research, generation, and workspace actions into one coherent interface. The product is designed to reduce the operational friction of switching among providers while keeping the selected model, usage, and execution path visible to the person doing the work.
Built around choice, evidence, and control
The platform does not treat one model as universally best. It can route by task, let a person select a model, compare several eligible answers, or ask an independent judge to review output. Availability always depends on the connectors, credentials, plan policy, and model lifecycle configured for the running environment.
Local-first operations, cloud-model reach
The repository contains a Next.js interface and independently deployable services connected through explicit HTTP and event boundaries. Operators can run the platform on their own infrastructure, connect supported cloud providers, or scope a local-model deployment whose hardware and integrations match the organisation’s requirements.
Trust through inspectable facts
We publish architecture, pricing baselines, security controls, limitations, and review dates instead of substituting unsupported badges or invented customer proof. The source repository is available for technical review, while live provider catalogs and checkout remain authoritative for what is available in a particular deployment.
One request, an inspectable route
ClawAI evaluates the request and current policy before it selects an available execution path.
Evaluate
Read the task, available context, policy, and current eligibility.
Route
Select an active model path from the providers configured by the operator.
Compare
Use multi-model orchestration only when the chosen mode and allowance permit it.
Return
Stream the answer with visible model provenance and usage information.
了解平台为何把供应商选择、面向任务的模型路由、可重复使用的上下文以及私有部署选项整合到一个实用工作空间中，并说明这些能力如何共同支持日常工作与团队协作，帮助不同任务保持连续的上下文。