Overview of the Inkeep Agent Platform
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With Inkeep, you can create and manage Agents with the No-Code Visual Builder or TypeScript Agents SDK.
Inkeep Agents are often used as:
- A Customer-facing Agent that you embed as a support assistant in your help center, copilot in your app, or sales chatbot on your marketing site.
- An Internal Agent accessible from Claude, ChatGPT, Slack, Zendesk, Cursor, and other apps your team uses
- A Workflow Agent used to automate repetitive tasks at scale, like updating docs, creating blog posts, summarizing sales calls, and more.
Agents are flexible and customizable - they can take on the role you need them to. All powered by the same knowledge of your product and company.
To get started, you can try the open-source edition (this docs site) or to learn about Inkeep Cloud, see here.
Two ways to build your agents
- Agent Visual Builder: A no-code interface designed to let both technical and non-technical teams create and manage agents.

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TypeScript Agents SDK: A code-first approach for building and managing agents and multi-agent systems, allowing you to build complex agent systems with the tools your engineering team expects.
The Visual Builder and Agents SDK are fully interoperable: your technical and non-technical teams can edit and manage agents in either format and switch or collaborate with others at any time.
Key Concepts
- Agents: LLM and AI driven decision-making units defined by instructions ('prompts') that can take actions, answer questions, and coordinate with other agents as needed.
- Graphs: A team of agents that work together to perform complex tasks across your apps and APIs.
- Tools: The capabilities that agents can invoke. Tools can be your own custom functions or you can leverage our pre-built MCP tools for common integrations.
- Transfers and Delegations: Relationships between agents. Transfers involve a transfer of control of the chat from one agent to another, and delegation allows an agent to create a sub-task for a different agent.
- Traces: A log that gives you full visibility into every step of how an agent graph ran. Accessible via UI or OpenTelemetry.
Advanced Features
- Data Components: Define what agents can output in their messages so they can render rich, interactive UIs (lists, buttons, forms, etc.).
- Context Fetchers: A way to retrieve and cache data about your user or apps so that an agent has it immediately available in its prompt.
- Artifacts: A piece of data that can be saved by an agent so it is accessible to other agents or users.