Shared work surface
Workspace gives teams and agents a shared environment for drafting, reviewing, and acting on documents, spreadsheets, decks, kanbans, and file viewers.
Context
Freemium
Context 是企业级 AI 智能体平台，可在客户基础设施上构建、部署和改进智能体，并提供工作区、运行时、上下文、评估工具、连接器及基于 IdP 的访问控制。
Context什么是 Context？
Context is a platform for building, deploying, and improving AI agents in enterprise settings. The site frames it as a unified foundation made up of Workspace, Engine, Unify, and Evals, with the shared goal of putting agents into production on customer infrastructure.
Across the product pages, Context emphasizes controlled execution, institutional context, and evaluation loops. Agents can work with a customer’s identity provider, use permissioned connectors, and ground their outputs in procedures, prior work, and expert corrections that are stored for future runs.
Context 能做什么？
Controlled execution runtime
Engine provides identity, tools, compute, and permissions on customer infrastructure, with per-session sandboxes and authorization before each action.
Institutional context layer
Unify turns procedures, prior work, and expert corrections into a .context filesystem and context graph that agents traverse during future runs.
Evaluation and gating
Evals uses rubrics and golden sets to validate runbooks, models, and context changes before they ship, so regressions can be caught automatically.
Permissioned system access
The platform exposes 800+ permissioned connectors and attaches credentials through the gateway instead of placing them inside the sandbox.
Flexible deployment options
The site says the platform supports hosted, VPC, on-prem, and air-gapped deployments, including an on-prem appliance.
使用场景
“Collaborative production work”
Use Workspace when analysts or operators need to draft and review work products alongside agents, such as account reviews, memos, spreadsheets, and file-based research.
“Controlled agent execution”
Use Engine when you need an agent runtime that respects enterprise identity, scoped tools, and explicit approvals before sensitive actions are taken.
“Institutional knowledge reuse”
Use Unify when you want firm procedures, expert corrections, and prior work to accumulate into a reusable context layer that improves future runs.
“Quality gating before release”
Use Evals when you need rubrics and golden sets to check whether model, runbook, or context changes preserve output quality over time.
“Restricted-environment deployment”
Use the platform in regulated or isolated environments when hosted, VPC, on-prem, or air-gapped deployment options are required.
常见问题
What is Context?
Context is positioned as a unified platform for building, deploying, and improving AI agents. The source pages describe Workspace, Engine, Unify, and Evals as the main modules in that platform.
Where can it be deployed?
The site describes a production environment that can run hosted, in your VPC, on-prem, or air-gapped. It is built for teams that need agents to work across internal systems with permissions, audit logs, and controlled tooling.
Is pricing published on the site?
The source does not show self-serve pricing on the pricing page. The pricing URL returns a page-not-found screen, and the site repeatedly uses a book-a-demo or talk-to-us flow.
What models can it use?
Context supports any model or agent framework on the platform, including Claude, GPT, Gemini, Kimi, and open weights, according to the homepage.
How does access control work?
The product pages say agents authenticate through the customer’s IdP and inherit the invoking user’s permissions, with actions authorized before they touch data.
快速信息
- Category
- AI agents platform
- Primary users
- Enterprise teams building and running AI agents
- Deployment
- Hosted, VPC, on-prem, and air-gapped
- Integrations
- 800+ permissioned connectors
- Source domain
- context.ai
- Pricing
- Not published on the pricing URL
Context 流量分析
流量数据仅供参考。
- 域名评分
- 57
Context 替代品
OpenController
www.lyzr.ai
OpenController is Lyzr’s control plane for discovering, evaluating, governing, and monitoring AI agents, models, tools, data, and workflows across an enterprise AI estate. It is intended for teams managing agents across clouds, frameworks, runtimes, and environments.
Gemini Enterprise Agent Platform
cloud.google.com
Gemini Enterprise Agent Platform, formerly Vertex AI, is Google Cloud’s platform for developers and technical teams to build, deploy, govern, and optimize AI agents, generative AI applications, and machine learning models.
OneReach.ai
onereach.ai
OneReach.ai GSX 是面向企业的智能体编排平台，可大规模构建、运行和治理 AI 智能体。
Octomind Cloud
octomind.run
Octomind Cloud runs AI agents on persistent cloud machines for research, writing, web work, software development, and scheduled routines. Users give instructions in plain language and can receive results through the web panel, Telegram, WhatsApp, or Slack.
Stagehand
www.stagehand.dev
Stagehand is an SDK for building browser agents with Playwright-style APIs, natural-language actions, structured extraction, and self-healing behavior. It supports TypeScript, Python, and Go for agents that need to operate web pages with browser-level control.
LangSmith
www.langchain.com
LangSmith is an observability and evaluation platform for AI agents and LLM applications. It helps development and production teams trace agent behavior, monitor quality and cost, investigate failures, and evaluate changes.