Kagi Assistant vs Onyx
Kagi Assistant
kagi.comOnyx
onyx.appSide by side
| Figure | Kagi Assistant | Onyx |
|---|---|---|
| Price from | $5/mo | $20/mo |
| Free plan | — | Yes |
| Free trial | Yes | Yes |
| Open source | — | Yes |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| iOS | Yes | — |
| Android | Yes | — |
| API | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 4 | 3 |
| Spec score · AI chatbots and assistants | 7.9 (#42) | 9.0 (#12) |
| File uploads | Yes | Yes |
| Founded | 2018 | G2 lists Onyx AI as serving customers since 2023 and gives 2023 as its founding year. |
| Free plan | No | Yes |
| Image generation | Yes | Yes |
| App integrations | Yes | The product advertises more than 50 synced connectors and names Slack, Google Drive, Confluence, Salesforce, GitHub and Jira among supported sources. |
| Team workspace | Yes | Yes |
| Web search | Yes | Yes |
Plans
Kagi Assistant
- TrialPrice not published
- Starter$5 a month
- Professional$10 a month
- Ultimate$25 a month
In their own words
Kagi Assistant
Kagi Assistant has no write-up on Specifiction yet; its figures are above.
Onyx
Onyx connects enterprise knowledge so people and AI agents can use relevant context in answers. It searches indexed sources in parallel and presents documents while enforcing each source's permissions. More than 50 connectors sync connected tools in the background and support hybrid semantic and keyword search. The Business plan lists chat and search, major LLM access, custom agents, MCP/OpenAPI actions, web search, deep research, code interpreter, and image generation. Business costs $20 a month, billed annually at $20 per user per month, for teams of any size, with 40+ app connectors and Community Support. Onyx provides APIs for messages, agents, LLM management, actions, and user authentication. Slack integrations can provide responses and agents; Microsoft Teams and Zendesk are described as coming soon. Deployments can run in a customer's cloud or on bare metal, including on-premise and fully air-gapped environments. The site says documents and embeddings can remain in customer infrastructure, data is not used for training, and permissions are checked at query time. Native Windows, macOS, and Linux apps connect to an existing deployment.