Compare DocsGPT with Copilot, Glean, ChatGPT Enterprise, Onyx and building in-house
DocsGPT is an MIT-licensed platform for private AI agents and enterprise search that you can run in the cloud, on your own servers or air-gapped. These pages compare it, on facts with dates, with Microsoft 365 Copilot, Glean, ChatGPT Enterprise, Onyx, kapa.ai and building in-house.
MIT licence · github.com/arc53/DocsGPT ↗
Last updated: · Facts checked on
One-line verdicts
Which product fits whom, one sentence each.
| Comparison page | One-line verdict | Facts checked on | |
|---|---|---|---|
| Microsoft 365 Copilot | Microsoft 365 Copilot alternative that runs on your own infrastructure | Copilot for Microsoft-only estates whose policy accepts Microsoft cloud processing; DocsGPT for mixed estates, on-premises or air-gapped requirements and own or local models. | |
| Glean | Glean alternative that runs on your own infrastructure — open source | Glean for large SaaS-first estates that want one vendor to run everything; DocsGPT when data cannot leave the network, models are your own, or the team is under 100 seats. | |
| ChatGPT Enterprise | ChatGPT Enterprise alternative that runs on your own infrastructure | ChatGPT Enterprise for a general-purpose assistant on the latest OpenAI models; DocsGPT for cited answers over your documents, self-hosting and model choice. | |
| Onyx | DocsGPT vs Onyx | Two MIT-core peers: Onyx for connector breadth and a larger community; DocsGPT for agent workflows, OCR, built-in benchmarking and regulated delivery references. | |
| kapa.ai | A kapa.ai alternative that runs on your own infrastructure | kapa.ai for a hosted docs and support assistant with a SOC 2 report; DocsGPT to run it yourself, choose the model, pay as you go, or go past the docs site. | |
| Building in-house | Build vs buy RAG: what you build, what DocsGPT provides | Build from scratch when retrieval is your core product; build on DocsGPT when you need the platform components under MIT and want to spend engineering on your own layer. |
How we compare
How each row is scored.
| What the row means | How the value is set | |
|---|---|---|
| Open-source licence | Licence of the product's source code. | Read from the public repository and its LICENSE file; a product with no public source repository is recorded as proprietary. |
| Self-host and air-gap | Can the customer run it on their own servers, and with zero external network? | Air-gapped means zero external egress; hybrid (on-prem platform, cloud LLM) does not count. |
| Model choice / BYOM | Which LLMs can be used and who chooses them. | Vendor documentation; “any” means cloud providers and local engines. |
| Transparent pricing | Is a list price published? | Published list price on the vendor's pricing page; “reported” marks a figure from public reporting, not a price list. |
| Seat minimum / contract | Published contract floor. | Vendor pricing page or public reporting; “none” means a single seat can be bought or the software self-hosted. |
| Vendor access to data | Does the vendor's service process customer content? | Yes when a service the vendor operates runs inference or indexing over the content — a shared service or a dedicated instance alike; the operator is named. No when the customer operates the deployment. |
Cost rows use published list price × seats × 12, before negotiation and without add-ons; where a vendor does not publish a price the row says so. Build vs buy has no vendor price, so that page shows engineering cost instead, and kapa.ai bills by answers rather than seats, so that page sets the billing terms side by side. Each DocsGPT cell links to its source — the licence, the docs, pricing or security; deployment postures are described on Deployment options and prices on Pricing.
Request a correction
Competitor facts are re-checked at each dateline and every figure on these pages carries the date it was checked (currently 2026-10-26).
Vendors and readers can request a correction; corrections are logged in the page's dateline.
Alex Tushynski, Co-Founder, Arc53
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