context.ai valid
Context
Context is a platform for building, running, and improving AI agents on
For agents: Platform for building and running AI agents on business workflows, with Workspace, Engine, Unify and Evals products plus a help center.
ai agentsbusiness workflowsagent platformagent evalsworkflow automation
- Authority
- 48 reach 7 · trust 5 · quality 21 · freshness 15
- Tier
- listed
- llms.txt
- https://www.context.ai/llms.txt
- Sections
- 6
- Links
- 176
- Size
- 38021 bytes
- Popularity rank
- #329412
- Country
- United States
- Categories
- AI and machine learning · AI agents and MCP
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- Audience
- business · agents can: read docs · en
- First seen
- 2026-10-19T10:42:38.026Z
- Last checked
- 2026-10-21T00:43:27.414Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-21T00:43:26.249Z. Cached copy · Source on context.ai
# Context
> Context is a platform for building, running, and improving AI agents on
> infrastructure the customer controls. Workspace is where people define and
> review work. Engine runs agents with tools, identity, and isolated compute.
> Unify stores the procedures and context those agents use. Evals measures
> completed work against criteria set by the customer's team.
Key facts:
- Deployment: managed, customer VPC (AWS, Azure, or GCP), on-premises, or
air-gapped environments designed for disconnected operation.
- Models: model-agnostic. Claude, GPT, Gemini, Kimi, or open weights; teams
can switch models mid-task without losing files, tools, or prior work.
- Identity and audit: every agent is its own member of the organization and
works on behalf of the person who asked; people sign in with SAML or OIDC
and are provisioned with SCIM. Each run gets its own short-lived key, and
every action is recorded in the audit log. Credentials are brokered to
connectors at runtime, never written into prompts.
- Quality: built-in evals. Expert-authored rubrics score every run; golden
sets guard against regressions; accepted work can distill into cheaper
models the customer owns.
- Deliverables: real, editable files (PowerPoint .pptx presentations, Word
documents, research reports) saved with sources and changes attached.
- Data: one customer's traces, corrections, and institutional context are
never used to train models for other customers.
- Pricing: quote-based, shaped by deployment model, usage, and support
requirements. Contact: https://www.context.ai/contact
## Products
- [Context Code](https://www.context.ai/cli): the Context agent CLI, with terminal sessions that land in the workspace task list
- [Context Desktop](https://www.context.ai/desktop): the Context app for Mac, Windows and Linux, with workspaces and your own deployments in tabs and Cascade dictation into any app (download at https://www.context.ai/desktop#download)
- [Context Mobile](https://www.context.ai/mobile): the Context workspace on iPhone, with notifications you can act on, a Live Activity and widgets (private preview)
- [Context Workspace](https://www.context.ai/product/workspace): Where your team and agents work
- [Context Engine](https://www.context.ai/product/engine): The runtime for your agents
- [Context Unify](https://www.context.ai/product/unify): Connections for people and agents
- [Context Evals](https://www.context.ai/product/evals): Production evals for agent workflows
- [Context Drive](https://www.context.ai/product/drive): Cloud storage in Context Office
- [Context Docs](https://www.context.ai/product/docs): Documents in Context Office
- [Context Sheets](https://www.context.ai/product/sheets): Spreadsheets in Context Office
- [Context Slides](https://www.context.ai/product/slides): Presentations in Context Office
- [Context PDFs](https://www.context.ai/product/pdf): PDFs in Context Office
- [Context Search](https://www.context.ai/product/sear
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