Alternatives
The right alternative depends on what you are replacing: price, AI quality, integrations, enterprise controls, or workflow focus. Start with the closest competitors, then use the related guides to narrow the decision.
Ranked by editorial fit, category overlap, and structured relationships.
A collaborative platform for building governed AI agents on company knowledge and tools
Dust gives teams flexible models, connectors, agents, and governance, but credit consumption, connector scope, permissions, retrieval quality, and enterprise plan boundaries need a real workload test.
An open-source local and self-hosted AI workspace for documents, agents, and teams
AnythingLLM packages local models, document knowledge, agents, meeting notes, and multi-user workspaces into desktop, Docker, and hosted options, but privacy depends on deployment, model endpoints, plugins, and operational discipline.
A self-hosted multi-user AI interface for local, private, and third-party models
Open WebUI gives teams one customizable interface for local and hosted models, knowledge, tools, permissions, and enterprise deployment, but security, licensing, operator access, and model data paths remain the deployer's responsibility.
Look for an alternative if Onyx is too expensive, lacks the integrations you need, or is not strong enough for your primary workflow.
Compare output quality, setup time, pricing limits, supported models, API access, and whether the tool fits your team’s existing systems.
Shortlist two options, run the same real workflow through both, and keep the one that reduces rework rather than the one with the longest feature list.