AI tool comparison
DSPy vs Onyx
Which one should you ship with? Here is the side-by-side panel verdict, pricing read, reviewer split, and community vote comparison.
AI Assistants
DSPy
Programming — not prompting — LMs
67%
Panel ship
—
Community
Free
Entry
DSPy replaces manual prompt engineering with programmatic optimization of LM pipelines. Compiles high-level programs into optimized prompts. Academic origin from Stanford NLP.
AI Assistants
Onyx
Open-source AI chat with enterprise RAG that runs anywhere
75%
Panel ship
—
Community
Free
Entry
Onyx is a fully open-source AI platform that brings together chat, agentic RAG, deep research, and custom agents in a single self-hostable application. Unlike cloud-only alternatives, Onyx runs on Docker, Kubernetes, or any major cloud provider, giving teams complete control over their data and deployment. The platform connects to 50+ data sources via indexing connectors and supports every major LLM provider — from self-hosted Ollama models to OpenAI and Anthropic. Its hybrid search combines keyword and vector indexing, while multi-step research agents ranked top on their benchmark as of February 2026. Onyx ships in two editions: a Community Edition (MIT-licensed) covering chat, RAG, agents, and actions, and an Enterprise Edition adding SSO, RBAC, audit logs, and whitelabeling. With nearly 24k GitHub stars and 4k new this week, it's become the de facto open-source alternative to tools like Glean and Guru.
Reviewer scorecard
“Revolutionary approach to prompt engineering. Optimizers find better prompts than humans can write manually.”
“If you've been paying for Glean or Guru, Onyx is your escape hatch. Self-hosting is straightforward with Docker, and the 50+ connectors cover virtually every data source your team needs. The hybrid search quality is genuinely competitive.”
“Steep learning curve and the abstractions can be confusing. For most apps, good prompt engineering is faster.”
“Self-hosting a full AI platform isn't actually free — you're paying in ops overhead, GPU costs, and the engineer-hours to maintain it. The enterprise features that actually matter (SSO, RBAC) are paywalled behind a license that isn't priced publicly, which is a red flag for budget planning.”
“The idea that prompts should be compiled, not handwritten, is correct. DSPy is ahead of its time.”
“Onyx represents a critical counter-movement to AI centralization. As enterprise AI spending scrutiny intensifies, self-hostable alternatives with full data sovereignty will capture the compliance-sensitive markets that hyperscalers are locked out of.”
“For content teams that need AI over their own knowledge base without shipping documents to a third-party cloud, Onyx is a genuine solution. The voice mode and image generation are unexpected bonuses that make it a complete workspace.”
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