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Context Agent Sandboxes

context.ai

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Spec score 9.2 #1 of 26 in Sandbox Software

What it is

Context Agent Sandboxes gives each agent task a separate sandbox on the customer's cluster, using the permissions of the person who requested it. Each run begins in a fresh environment, which is destroyed after an idle period set to 30 minutes by default. Sandboxes run as non-root container pods with capabilities dropped, a seccomp profile, and no cluster service-account token. Administrators can choose open, domain-allowlist, or workspace-only network access, with allowlist decisions logged. In the supervised preset, commands require human approval and connections outside the allowlist prompt for a decision. Drive is not mounted: files pass through a permission-checking gateway, and outputs are pushed explicitly. Credentials are injected at the edge only after authorization. An append-only audit log records commands, files, connections, and permission decisions, including the actor and decision maker. Context lists more than 180 integrations across business categories, plus remote MCP servers. Enterprise sandboxes run on the customer's Kubernetes cluster, with KOTS installation options for EKS or AKS and an air-gapped bundle. Plans include Free at free, Plus at $20 a month, Pro at $200 a month, and custom-priced Enterprise.

Spec sheet

What it does
Agent Sandboxes gives each agent task an isolated execution environment while keeping traces, evaluations and policy decisions in the Context workspace.Read 15 Oct 2026 · context.ai
Purpose
Each agent task runs in its own sandbox on the customer's cluster under the permissions of the person who requested it.Read 8 Oct 2026 · context.ai
Platforms
The managed sandbox runs Debian Linux, and tasks can also use paired Mac, Windows, or Linux machines as their runtime.Read 8 Oct 2026 · context.ai
Deployment
Enterprise sandboxes run on the customer's Kubernetes cluster and can be installed through KOTS on EKS or AKS, including an air-gapped bundle.Read 8 Oct 2026 · context.ai
API
The REST task API can create, poll, cancel and share tasks, upload files, download outputs and read evaluations.Read 15 Oct 2026 · context.ai
Integrations
Context lists a catalog of 180+ integrations across data, documents, communication, CRM, ITSM, finance, and identity, plus remote MCP servers.Read 8 Oct 2026 · context.ai
Support
Basic support through Context's standard channels during business hours is included in every agreement, with Enterprise support set per order.Read 8 Oct 2026 · context.ai
Headquarters
San Francisco, California, United StatesRead 28 Sep 2026 · context.ai
Maker
Context is made by Explore Interfaces Inc., a Delaware corporation with an office at 55 2nd Street, Suite 1925, San Francisco, California.Read 15 Oct 2026 · context.ai
Air-gapped operation
Air-gapped bundles include the required images and can use open-weight models inside the disconnected boundary, reducing the available model catalog.Read 15 Oct 2026 · context.ai
API reliability features
Task creation supports idempotency keys, structured output schemas and signed webhooks with up to three delivery attempts.Read 15 Oct 2026 · context.ai
Apple app requirements
The Context iPhone and iPad app requires iOS or iPadOS 16.4 or later; Mac compatibility requires macOS 12 and Apple silicon.Read 15 Oct 2026 · apps.apple.com
Approval controls
Under the supervised preset, commands require human approval, and connections outside the allowlist prompt for a decision before leaving.Read 8 Oct 2026 · context.ai
Audit
Commands, files, connections, and permission decisions are recorded in an append-only audit log with the actor and decision maker.Read 8 Oct 2026 · context.ai
Audit trail
The append-only audit record includes task, model and tool calls, sources, actions, approvals and results, and can be exported as CSV.Read 15 Oct 2026 · context.ai
Command-line client
Context Code installs on macOS, Linux and Windows and pairs a terminal session with a workspace task list.Read 15 Oct 2026 · context.ai
Company record discrepancy
Crunchbase lists an older Context.ai product-analytics entity as Get Context Co., London-based, 1–10 employees, acquired by OpenAI, with operating status closed.Read 15 Oct 2026 · crunchbase.com
Company size and headquarters
LinkedIn lists Context as a privately held applied-AI company headquartered in San Francisco with 11–50 employees.Read 15 Oct 2026 · linkedin.com
Compute cost
Sandbox time is not metered on Context plans, while Enterprise customers pay their cloud provider for compute.Read 8 Oct 2026 · context.ai
Connector integrations
Documented connectors include Slack, Google Workspace, Salesforce, Notion, Snowflake, GitHub, HubSpot, Linear, Zendesk, Box and Microsoft 365 services.Read 15 Oct 2026 · context.ai
Credential handling
Standing secrets are kept out of the sandbox; credentials are issued at the edge after authorization and expire with the action or run.Read 15 Oct 2026 · context.ai
Credentials
Standing secrets are not placed in the sandbox; credentials are injected at the edge after an authorization check.Read 8 Oct 2026 · context.ai
Custom integrations
Administrators can register internal HTTP or MCP services using a form or YAML and choose bearer, API-key, HMAC-SHA256 or OAuth 2 authentication.Read 15 Oct 2026 · context.ai
Deployment options
Enterprise deployments can run on managed infrastructure, a customer VPC, on-premises hardware or an air-gapped environment.Read 15 Oct 2026 · context.ai
Desktop clients
Context Desktop is offered for macOS, Windows and Linux, with signed or notarized macOS packages and 64-bit Windows and Linux installers.Read 15 Oct 2026 · context.ai
Documentation and support
The Help Center covers setup, usage, agent building, connectors, deployment, security, data, billing and support, while basic business-hours support is included in agreements.Read 15 Oct 2026 · context.ai
Encryption
Context states that customer personal data uses TLS in transit and industry-standard encryption at rest.Read 15 Oct 2026 · context.ai
Ephemeral environments
A task receives a fresh sandbox that is destroyed after its configured idle period, 30 minutes by default, while task files can be snapshotted and restored.Read 15 Oct 2026 · context.ai
File access
Drive is not mounted in the sandbox; files are fetched through a permission-checking gateway and outputs are pushed explicitly.Read 8 Oct 2026 · context.ai
Fresh runtime
Each task run starts a fresh sandbox that is destroyed after its idle window, which is 30 minutes by default.Read 8 Oct 2026 · context.ai
Funding news
TechCrunch reported on May 28, 2025 that Context announced an $11 million seed round led by Lux Capital, bringing reported total funding to about $15.75 million.Read 15 Oct 2026 · techcrunch.com
Isolation
Sandboxes run as non-root container pods with capabilities dropped, a seccomp profile, and no cluster service-account token.Read 8 Oct 2026 · context.ai
Limit: additional compromise reports
TechRadar reported that later investigation found evidence of prior compromise in a small number of customer accounts and linked the Context account to Lumma Stealer activity.Read 15 Oct 2026 · techradar.com
Limit: breach follow-up
ITPro reported that the Vercel incident originated through Context.ai and led affected customers to rotate credentials after access to non-sensitive variables and internal systems.Read 15 Oct 2026 · itpro.com
Limit: reported security incident
Tom’s Hardware reported in April 2026 that attackers used a Vercel employee’s broad Google Workspace authorization through Context.ai and that Context acknowledged unauthorized AWS access and exposure of some OAuth tokens.Read 15 Oct 2026 · tomshardware.com
Limit: tool overlap and cost
The G2 reviewer complained that Context felt like one of many tools and made other-tool spending feel wasteful; G2 says the review count is too small for buying insight.Read 15 Oct 2026 · g2.com
MCP integration
An OAuth-enabled MCP server lets clients such as Claude Code, Codex and Cursor access Context files, apps and skills.Read 15 Oct 2026 · context.ai
Model choice
Workspaces can offer Context, Anthropic, OpenAI, Gemini, Kimi, DeepSeek and Qwen models, plus administrator-added models.Read 15 Oct 2026 · context.ai
Network controls
Administrators can choose open networking, a domain allowlist or workspace-only access, with outbound decisions logged.Read 15 Oct 2026 · context.ai
Open-source status
Context says its software includes open-source components; Context Code is a distribution of the MIT-licensed Hermes Agent, with component notices supplied with the software.Read 15 Oct 2026 · context.ai
Praise: integrations
The sole G2 reviewer praised ease of use, connecting other accounts, overall breadth and especially integration with other apps.Read 15 Oct 2026 · g2.com
Rating on Apple App Store
No numeric rating displayed; Apple says the app has not received enough ratings or reviews to show an overview.Read 15 Oct 2026 · apps.apple.com
Rating on G2
5.0 out of 5 from 1 review.Read 15 Oct 2026 · g2.com
Runtime operating systems
The managed runtime uses Debian Linux, while tasks can also run on paired Mac, Windows or Linux machines.Read 15 Oct 2026 · context.ai
Sandbox isolation
Managed sandboxes run as non-root Kubernetes pods with dropped capabilities, a seccomp profile and no cluster service-account token.Read 15 Oct 2026 · context.ai
SDK and documentation depth
The API is plain HTTP with JSON, and the detailed API reference is supplied by the account team rather than presented as a public SDK.Read 15 Oct 2026 · context.ai
Security attestations
The Trust Center says Context holds SOC 2 and ISO 27001 reports and makes them available on request.Read 15 Oct 2026 · context.ai
Security certifications
Context states it holds SOC 2 and ISO 27001 certifications and provides the reports on request.Read 8 Oct 2026 · context.ai
Self-hosting
Self-hosted installations run on customer Kubernetes clusters such as Amazon EKS or Azure AKS and are installed through KOTS.Read 15 Oct 2026 · context.ai

Plans and prices

Free Free $0 Includes sandboxes · one agent concurrently · model credits apply Read 15 Oct 2026 · context.ai
Free Free Includes sandboxes · 1 agent at a time Read 8 Oct 2026 · context.ai
Plus $20 a month $20 per person per month Three agents concurrently · sandbox time not metered · model credits apply Read 15 Oct 2026 · context.ai
Plus $20 a month Per person per month 3 agents at a time · Sandbox time not metered Read 8 Oct 2026 · context.ai
Pro $200 a month Per month 10 agents at a time · 25,000 credits a month for model usage · Sandbox time not metered Read 8 Oct 2026 · context.ai
Pro $200 a month $200 per person per month Ten agents concurrently · 25,000 credits · sandbox time not metered Read 15 Oct 2026 · context.ai
Enterprise Priced on request Custom Own cloud deployment · cluster-sized capacity · enterprise support by agreement Read 15 Oct 2026 · context.ai

Every Context Agent Sandboxes plan and price →

Strong points and limits

Strong points

  • Fresh sandbox per task, destroyed after an idle window.
  • Network access can be restricted to an allowlist or workspace.
  • Audit log records actions and permission decisions.
  • Free plan includes sandboxes and one agent at a time.
  • Enterprise supports customer Kubernetes deployment.

Limits

  • Persistent storage is not available.
  • Free is limited to one agent at a time.
  • Plus is $20 a month per person.
  • Pro is $200 a month.

Who it suits

It suits teams that want agent tasks isolated on their own cluster, with controls for network access, approvals, credentials, and audit records. Enterprise deployment is aimed at customers running sandboxes in their own cloud.

Context Agent Sandboxes in depth

Read the full write-up

Context Agent Sandboxes gives every agent task a temporary execution environment on the customer’s cluster, bounded by the requester’s permissions. It is aimed at teams supervising agents around sensitive files, credentials, and network services. The strongest case is controlled, auditable agent execution; limited persistence and plan-based concurrency make it less suitable for stateful or highly parallel workloads.

Overview

Each task receives a fresh sandbox that is destroyed after its idle window, 30 minutes by default. That clean start reduces carryover between runs, but there is no persistent storage, so workflows requiring durable files must store them elsewhere. Sandbox time is not metered on Context plans. Enterprise customers instead pay their cloud provider for compute, which shifts cost management to their own infrastructure.

Key features

Isolation is substantial: sandboxes run as non-root container pods with capabilities dropped, a seccomp profile, and no cluster service-account token. Administrators can select open, domain-allowlist, or workspace-only network access, with allowlist decisions logged. The supervised preset requires human approval for commands and asks for a decision before connections outside the allowlist proceed. Those controls suit regulated or cautious operations, although approvals add friction to unattended automation.

The Drive is not mounted inside a sandbox. Files move through a permission-checking gateway, and outputs must be pushed explicitly. Standing secrets are kept out of the runtime; credentials are injected at the edge only after authorization. An append-only audit log records commands, files, connections, and permission decisions, naming both the actor and decision maker. Context lists more than 180 integrations spanning data, documents, communication, CRM, ITSM, finance, and identity, along with remote MCP servers. API and CLI access support operational integration. Context states that it holds SOC 2 and ISO 27001 certifications and provides reports on request.

Pricing

Free costs nothing and includes sandboxes for one agent at a time. It is useful for individual evaluation or light workloads, but the single-agent cap quickly limits teams.

Plus costs $20 per month and permits three agents at a time, with sandbox time unmetered. It fits small teams that need modest concurrency; it does not include the Pro model-usage allowance.

Pro costs $200 a month, supports 10 agents at a time, and includes 25,000 credits a month for model usage. It is the practical tier for teams running several simultaneous agents, provided that quota matches their usage.

Enterprise has custom pricing and provides a custom enterprise deployment running in your own cloud. It is the relevant choice for organizations needing customer-cluster control, but budgeting requires a sales process. Basic support through standard channels during business hours is included in every agreement; Enterprise support is set per order.

Platforms

Context Agent Sandboxes supports Linux, macOS, Windows, web access, and self-hosted deployment. Enterprise sandboxes run on the customer’s Kubernetes cluster and can be installed through KOTS on EKS or AKS, including an air-gapped bundle.

Who it's for

Choose it when agent actions must be permission-bounded, reviewable, and separated from standing credentials, especially in organizations operating their own Kubernetes environment. It is a weaker fit for projects that need persistent sandbox state, frictionless autonomous execution, or concurrency beyond the selected plan.

Pros and cons

Pros: layered container isolation; selectable network boundaries with logged allowlist decisions; edge-injected credentials; explicit file transfer; append-only audit records; unmetered sandbox time on Context plans; air-gapped Enterprise deployment.

Cons: no persistent storage; supervised mode introduces approval delays; Free permits one agent at a time; Pro’s model allowance is capped at 25,000 credits monthly; Enterprise pricing is custom and compute is billed by the customer’s cloud provider.

Alternatives

For a broad directory of options, browse Sandbox Software. Pick ANY.RUN instead when you need a freemium service spanning Android, iOS, desktop, web, and API access, with a free Community plan. Daytona is a better match for development environments with API, self-hosted, and web support and a pay-as-you-go option that includes 5 GiB of storage before storage charges. Choose Docker Desktop for familiar local container tooling and a free Personal plan. Northflank suits teams wanting hosted services, databases, cron jobs, and always-on compute in its free Sandbox tier. microsandbox is preferable for tightly metered small workloads, with a free allowance of 5 vCPU-hours, 20 memory GiB-hours, 20 disk GiB-hours, and up to three sandboxes. Anthropic Sandbox Runtime is another free option for Linux, macOS, self-hosted, and Windows. Vercel fits web-focused deployments with API and web platforms and a free Hobby plan. Zscaler Private Access is the alternative for private application access rather than agent task sandboxes.

Verdict

Context Agent Sandboxes is a strong choice for security-conscious teams that need agents to operate with constrained permissions and a durable audit trail, particularly on their own Kubernetes infrastructure. Look elsewhere if persistent workspace data, low-touch autonomy, or higher concurrency at a predictable public price is more important than control.

Verdict

The product specifies several layers of sandbox isolation, access control, and auditing, while deployment and agent limits vary by plan. Enterprise pricing is custom, and pricing is available on request.

Where Specifiction places it

Alternatives to Context Agent SandboxesAll alternatives →

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