Inkeep
Inkeep · Marketing · Leaning · Other · Chatbot
Inkeep is an AI agent platform that turns your docs and help center into a support copilot, built with a no-code agent builder or a TypeScript SDK.
About Inkeep
What Is Inkeep
Inkeep is a platform for building AI agents that answer questions from content you already own. You connect a documentation site, a help center, or a set of internal wikis, and the agent replies with cited answers instead of confident guesses. The company works out of San Francisco and ships two things at once: an open source agent framework and a managed enterprise platform.
The product covers two jobs. A customer-facing agent handles self-serve questions on your site, in Slack, or inside Zendesk and Salesforce. An internal copilot does the same work for support, sales, and ops teams digging through their own knowledge. Both run on one agent runtime, so you configure the logic once and expose it in several places.
The main limit is scope. Inkeep is built for teams with a real knowledge base behind them. Thin or badly organized docs produce thin answers, and no model setting repairs that. The open source path also assumes you're fine running Docker and Node on your own machine.
Getting Started
- Run the open source quickstart on an empty folder, which scaffolds a project and needs Node 22, Docker, and pnpm installed.
- Start the dev environment and open the Visual Builder, then log in with the credentials written to your env file.
- Point the agent at your sources: public docs and help center pages first, private Notion or Confluence spaces on the Enterprise plan.
- Test the agent in the built-in chat, then push your changes to code or pull code edits back into the builder.
- Deploy to Vercel or Docker, or drop the React chat components into your own product.
Product Information
A quick look at Inkeep's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Support teams at software companies
- Documentation teams
- Engineering teams
- Ops and sales teams
Tasks
- Deflecting repeating tickets
- Answering questions inside docs
- Drafting and refreshing knowledge base articles
- Triaging helpdesk tickets and updating CRM records
Scenarios
- Launching a public help center assistant without pulling engineers off the roadmap, since the visual builder covers the whole setup.
- Giving a support team a Slack bot that pulls from the same sources as the website widget, with one agent behind both.
- Testing an agent idea on a laptop before committing budget, because the open source core runs locally for free.
Key features
No-Code Visual Builder
A drag-and-drop canvas for assembling an agent: pick a model, attach tools, define the instructions, and wire sub-agents together. Anyone on the team can own the agent they care about, and nobody needs a deploy to change a prompt. The canvas writes the same configuration the SDK reads, so handoff between teams doesn't need a rebuild.
TypeScript Agents SDK
Engineers get a code-first framework that lives in version control, next to the rest of the product. You can define agents, tools, and credentials in TypeScript, then push to the builder for review by non-technical teammates. The two-way sync is the point here: edit in code or in the UI, and the other side picks it up.
Unified AI Search with Managed RAG
AI search for documentation starts with connections: public docs and help centers, private Notion and Confluence spaces, all in one index. From there Inkeep runs retrieval across everything you've linked, so one query can draw on a blog post and a ticket thread at once. Managed RAG handles chunking, embeddings, and ranking, which is the part most teams underestimate. Agents also pull live data from databases, APIs, and the web at answer time, so prices and status pages don't go stale.
Multi-Agent Teams and MCP Tools
One agent rarely covers a whole support org. Inkeep runs teams of agents, each with its own scope and permissions, and routes a question to the one that can answer it. Agents call any MCP server or API, with credentials stored at the platform level, so a refund tool and a docs lookup can sit in the same conversation.
Chat Components with Inline Citations
The React and JS component library drops a working assistant into an existing app, including forms, cards, and custom message layouts. Every answer carries inline citations back to the source page, which lets a reader check the claim in one click. For support leads, that's the difference between trusting the bot and quietly disabling it.
Traces, OpenTelemetry, and Gap Reports
The traces UI shows the full path of an answer: retrieval, tool calls, model choice, latency. Traces also export over OpenTelemetry, so they land in whatever monitoring stack you already pay for. On Enterprise, scheduled AI reports flag knowledge gaps and missing product features by clustering the questions your content can't answer.
Pros and cons
Pros
- Two-way sync between the visual builder and the TypeScript agents SDK lets designers and engineers work on one agent without stepping on each other.
- The open source core is free and self-hostable, so you can prove the idea works before signing anything.
- Inline citations on every answer make bad retrievals visible, which is the fastest route to fixing them.
- Agents speak MCP, A2A, and webhooks, so Inkeep fits into an existing stack instead of replacing it.
Cons
- Managed RAG, private source ingestion, SSO, and audit logs all sit behind Enterprise, so the free tier won't run a real support deployment alone.
- Getting started means Node, Docker, and pnpm, which shuts out a non-technical owner working without help.
- Answer quality tracks your documentation, and the gap reports only show the problem after users have already hit it.
- Enterprise pricing is quote-based, so budgeting takes a sales call rather than a look at a pricing table.
Frequently asked questions
It builds AI agents that answer questions from your own documentation, help center, and internal wikis, then serves them on your website, in Slack, or inside support tools like Zendesk.
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