Inkeep

Turns your docs and support history into AI agents

Business & Finance Subscription Has API
Researched · Published · Reviewed
RECATOOLS Score
6.8 / 10
Capability
7
Value for money
6
Ease of use
7
ASEAN readiness
6
API quality
7
Founded
2022
HQ
San Francisco, California, USA
Users
Launched
Developer

Overview

An AI copilot platform, open-sourced at its core, that ingests documentation, GitHub issues, Discord, and past tickets to answer technical questions in docs sites, Slack, and an OpenAI-compatible API. Built for developer-relations and support teams at companies like Anthropic and Loops.

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Use cases

Developer support Docs Q&A Discord/Slack support bot

What you can produce with Inkeep

  • Ingests docs, GitHub issues/PRs, Discord, Slack, and support tickets
  • Source-cited answers with a visible confidence score
  • Open-source TypeScript SDK + no-code visual builder (github.com/inkeep/agents)
  • OpenAI-compatible chat API for custom embeds
  • Deflection-rate and resolution analytics dashboard
  • Confidence-threshold escalation to a human agent with context
  • Docs-site widget, Slack bot, and helpdesk integrations
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ASEAN Perspective

Inkeep in Southeast Asia

ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).

RECATOOLS Verdict

Point this at your docs, GitHub issues, Discord and support tickets, and Inkeep builds an AI agent that answers technical questions with source citations and a confidence score, escalating to a human when it isn't sure. The open-source core (github.com/inkeep/agents) is the differentiator — a TypeScript SDK and no-code visual builder stay in two-way sync, so engineers and support leads can both touch the same agent definition, and the OpenAI-compatible chat API makes it straightforward to embed in a custom UI rather than a canned widget.

The tradeoffs: there's no published self-serve price list, so budgeting means a sales call, and there's no free tier — only a 30-day demo sandbox on your own content. Answer quality is only as good as the documentation you feed it. Best fit is developer-tool and API companies with real docs and ticket volume, not solo builders or non-technical teams.

Independent AI-assisted assessment by RECATOOLS.

What people say

Inkeep (YC W23) sells itself as the AI layer for developer-facing support: ingest documentation, GitHub issues and pull requests, Discord, Slack and past support tickets, then serve grounded answers — with source citations and a visible confidence score — through a docs-site widget, Slack bot, or a custom UI built on its OpenAI-compatible chat API. Anthropic uses it to power search over its own documentation; Payabli's head of docs has pointed to the feedback loop it surfaces — seeing which questions keep going unanswered — as a bigger win than the chatbot itself, since it points straight at gaps in the docs.

The company open-sourced its agent platform (github.com/inkeep/agents): an agents-api backend, a visual no-code builder, and a TypeScript SDK that stay in two-way sync, so the same agent can be edited by hand or through the UI. That's unusual for a category where most competitors keep the whole stack closed. Dashboards report deflection rates, resolution percentages and which questions get escalated versus answered, which support leads use to justify the spend.

Pricing is the sticking point for anyone comparison-shopping: Inkeep doesn't publish numbers. Its own FAQ says quotes are scoped to expected usage and deployment breadth, sales calls are required, and there's no self-serve free tier — only a 30-day sandbox demo built on the prospect's own content. Third-party pricing trackers estimate entry plans somewhere in the low hundreds of dollars a month scaling to several times that, but none of that is confirmed by Inkeep itself, so treat it as a ballpark rather than a quote.

Net: it's a well-regarded tool in a crowded field (Intercom Fin, Zendesk AI, and docs-specific rivals like Kapa.ai all compete for the same budget line), with the open-source angle and the OpenAI-compatible API as the clearest points of differentiation. It's built for teams that already have a support/docs surface worth automating, not a general-purpose chatbot.

Summary of public user & expert reviews, compiled by RECATOOLS.

About this listing

Researched on
Published on
Last reviewed

This entry was compiled from publicly available data including Inkeep's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Inkeep unless explicitly stated.

Data accuracy

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