Best HN reception of any tool in the documentation category. Strong community signal for open-source doc AI.
DocsGPT
activeOpen-source AI documentation chatbot. 17.8K stars. Self-hostable, multi-model support, Kubernetes-ready. Queries existing docs rather than generating them — a complementary layer on top of docs frameworks.
Where it wins
17.8K stars — strong community signal
256pts Show HN — strongest HN reception in documentation category
Self-hostable with multi-model support (not locked to one LLM)
Kubernetes-ready for enterprise deployment
Complementary to docs generators — queries existing docs
Where to be skeptical
Release cadence slowing — last release v0.15.0 Dec 2025
Different value prop from docs generators — queries docs, doesn't create them
Requires existing documentation to query against
62 open issues
Editorial verdict
Best open-source 'chat with your docs' solution. 17.8K stars, 256pts Show HN (strongest HN reception in documentation category). Self-hostable, multi-model. Complements docs generators (Docusaurus, Mintlify) rather than competing. Release cadence slowing (last release Dec 2025).
Source
Related
Swagger UI
95The original interactive API documentation renderer. 28.7K stars, 603K npm/week combined. Actively maintained with weekly releases (v5.32.1, Mar 2026). OpenAPI 3.1.2 support. The universal baseline.
Docusaurus
92Meta's open-source docs framework. Largest community (64K stars, 765K npm/week), built-in versioned docs, massive plugin ecosystem. The incumbent safe default for large OSS projects.
MkDocs Material
92Python ecosystem's default docs framework. 26.3K stars, 4.2M PyPI weekly downloads (highest of ANY docs tool). Now in maintenance mode — creator building Zensical as successor with 4-5x faster builds.
Astro Starlight
91Astro-based docs framework shipping zero client-side JS by default. Go-compiled dev server, multi-framework component support (React, Svelte, Vue, Solid). The DX leader for content-first documentation.
Public evidence
Last release v0.15.0 Dec 2025 — 3+ months ago. Still getting daily pushes but formal releases less frequent.
Raw GitHub source
GitHub README peek
Constrained peek so you can sanity-check the source material without leaving the site.
<p align="center"> <a href="https://docs.docsgpt.cloud/"> <img width="1100" height="688" src="https://pub.arc53.com/readme-reel.webp" alt="DocsGPT overview: answers with citations, knowledge, agents, visual workflows, tools and connectors, observability"> </a> </p>[!TIP] Self-host in one command. On macOS and Linux:
curl -fsSL https://docs.ac/install | bashOn Windows (PowerShell):
irm https://docs.ac/install.ps1 | iex
<p align="center"> <sub>Supported by</sub><br> <a href="https://get.neon.com/docsgpt"><picture><source media="(prefers-color-scheme: dark)" srcset="https://neon.com/brand/neon-logo-dark-color.svg"><img height="32" alt="Neon" src="https://neon.com/brand/neon-logo-light-color.svg" /></picture></a> <a href="https://vercel.com/open-source-program"><img height="28" alt="Vercel OSS Program" src="https://vercel.com/oss/program-badge-2026.svg" /></a> </p>🎃 Hacktoberfest 2026: T-shirts for meaningful contributions, all October. See HACKTOBERFEST.md.
Why DocsGPT
DocsGPT turns your documents, sites and connected apps into AI agents that answer with sources. Build agents and visual workflows, give them tools, and put them in your product through a widget, an OpenAI-compatible API or an MCP server. It runs entirely in your environment with the model of your choice, cloud or local, and everything, including SSO, teams and quotas, is MIT licensed.
Quickstart
The installer above checks for Docker, installs the docsgpt command and
runs docsgpt up, which asks who should reach DocsGPT and which model to use. A local install opens at
http://localhost:7091.
Prefer Docker Compose, pip, Kubernetes or an air-gapped install? See Choose a deployment. Just want to try it? Use DocsGPT Cloud.
Features
- 🤖 Agents and deep research: agents with their own prompt, knowledge, tools and model, plus a research mode for multi-step answers.
- 🔀 Visual workflows: chain agents, conditions, state and sandboxed code in a drag-and-drop builder.
- 📚 Knowledge from anywhere: PDFs, Office files, web pages, audio and more, kept in sync from Google Drive, SharePoint, Confluence, GitHub, S3 and others, with GraphRAG.
- 🔎 Answers with sources: every answer cites the documents it came from.
- 🛠️ Tools and actions: web search, any REST API, MCP servers, artifacts and code in a sandbox, and shell on paired devices.
- 🧠 Any model: OpenAI, Anthropic, Google, Groq, OpenRouter, or local models through Ollama, vLLM and other OpenAI-compatible servers.
- 🛡️ Guardrails: flag, redact or block PII, secrets, prompt injection and ungrounded answers.
- ⏰ Schedules and webhooks: run agents on a timer or from any system that can send an HTTP request.
https://github.com/user-attachments/assets/d36bbd7d-c23c-4ab8-8777-b432632d6882
<table> <tr> <td width="50%" valign="top"> <a href="https://docs.docsgpt.cloud/Agents/basics"><img src="https://raw.githubusercontent.com/arc53/DocsGPT/main/docs/public/create-agent-poster.png" alt="Creating an agent in DocsGPT with its knowledge, tools and prompt" width="100%"></a> <p align="center"><b>Agents</b>: knowledge, tools and a prompt, published in a click</p> </td> <td width="50%" valign="top"> <a href="https://docs.docsgpt.cloud/Agents/nodes"><img src="https://raw.githubusercontent.com/arc53/DocsGPT/main/docs/public/workflow-builder-poster.png" alt="The DocsGPT workflow builder with an AI agent node, a condition and two end nodes" width="100%"></a> <p align="center"><b>Workflows</b>: agents and logic on one canvas</p> </td> </tr> <tr> <td width="50%" valign="top"> <a href="https://docs.docsgpt.cloud/Sources/Connectors"><img src="https://raw.githubusercontent.com/arc53/DocsGPT/main/docs/public/connect-your-data-poster.png" alt="Connecting a GitHub repository to DocsGPT and choosing a daily sync" width="100%"></a> <p align="center"><b>Knowledge</b>: connect a service and keep it in sync</p> </td> <td width="50%" valign="top"> <a href="https://docs.docsgpt.cloud/Extensions/chat-widget"><img src="https://raw.githubusercontent.com/arc53/DocsGPT/main/docs/public/chat-widget-poster.png" alt="The DocsGPT chat widget on a product support page answering from the handbook" width="100%"></a> <p align="center"><b>Widget</b>: your agent on any website</p> </td> </tr> </table>See the documentation for everything else.
Use it anywhere
- Web app: chat, agents, knowledge and settings in the browser.
- Chat and search widgets: drop an agent into any site with a script tag or the React package.
- OpenAI-compatible API: point any OpenAI SDK at
/v1, or use the Agent API and webhooks. - MCP server: let Claude, Cursor or any MCP client search your agent's knowledge.
- Chat apps and the terminal: bots for Discord, Slack and Telegram, and the DocsGPT CLI. More in community integrations.
Private by design
Everything runs inside your environment: the API, the worker, Postgres, Redis, your vector store and your files. Pick a cloud model provider or run models and embeddings locally, even air-gapped.
flowchart LR
Users["Web app, widgets,<br/>API and MCP clients"] --> API
subgraph Yours["Your environment"]
API["DocsGPT API"] <--> Redis["Redis"]
Redis <--> Worker["Worker<br/>ingestion and embeddings"]
API --> Data[("Postgres, vector store<br/>and files")]
Worker --> Data
Local["Local models<br/>(optional)"]
end
API -.-> Local
API -.-> Cloud["Cloud model provider<br/>(optional)"]
Read the architecture guide and the security checklist before exposing DocsGPT beyond your machine.