Benchmarks
How Onyx AI scores on agent readiness and AI visibility AI Readiness and GEO Score are platform assessments generated by VibeLaunch after submission.
Decision summary
Sales, Engineering, Customer Support, and Operations teams
Overview
An enterprise AI assistant that connects documented knowledge across Slack, Google Drive, and Confluence, Onyx uses agentic retrieval-augmented generation (RAG) with multi-step reasoning to answer complex workplace questions. The platform is distributed as open-source software through GitHub and supports deployment on individual laptops, on-premises servers, or in the cloud.
Agent Search: Beyond Basic RAG
Agent Search is Onyx's flagship capability and what distinguishes it from simpler document-retrieval chatbots. Rather than fetching relevant chunks and generating a single-pass answer, Agent Search decomposes complex questions into narrower, well-defined sub-questions. Each sub-question flows through query expansion, targeted document search, result validation, reranking, subanswer generation, and answer verification. The system then synthesizes these verified sub-answers into a final response.
This architecture addresses a known limitation of basic RAG: when a question does not map neatly to existing document chunks, traditional systems struggle. Onyx's own example illustrates the difference—asked "How did we close this customer so quickly?", Agent Search does not merely search for documents mentioning the customer. It explores the sales process, compares it against typical sales cycles, investigates proof-of-concept processes, and synthesizes findings across multiple knowledge sources.
Security: Credential Injection Proxy
Onyx's security model takes a different approach from most AI agent platforms. Rather than storing real OAuth tokens or API keys in the agent's runtime environment—where prompt injection attacks can exfiltrate them—Onyx uses a credential injection proxy. Agents operate in network-isolated sandboxes holding only placeholder credentials (literally the string "replaced_by_egress_proxy"). Actual credentials are injected at the egress proxy boundary, meaning even if an attacker compromises the agent through prompt injection, the stolen tokens are worthless.
The vendor frames this design against OWASP's Top 10 for Agentic Applications and cites ISACA data showing 44% of organizations still authenticate agents with static API keys.
Integrations and Extensibility
Onyx integrates with Slack today, with Microsoft Teams and Zendesk support listed as forthcoming. The platform exposes a developer API with fine-grained API keys for programmatic access to its RAG, Agent, and Generative AI capabilities. Teams can create custom prompts, upload knowledge, and configure Actions that connect agents to external tools.
The platform targets four core enterprise personas: Sales, Engineering, Customer Support, and Operations. A 14-day free trial is available without requiring a credit card. Onyx has published internal benchmarking on workplace questions but acknowledges that the underlying documents cannot be shared publicly; a synthetic dataset modeled on enterprise document types is planned.
For more enterprise AI tools, browse the AI Agents Directory.
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Score anatomy
The dimensions behind the editorial score, each with its judgment note. AI Readiness and GEO Score are platform assessments generated by VibeLaunch after submission.
Agent Readiness
How well an agent can understand this product and reconstruct a documented workflow from its official information.
Evidence check
Public claims about this tool, each tagged with a verification status and its cited source.
Decision desk
The questions most worth resolving before you rely on the product or visit its official site.
