RAGFlow vs Stele

RAGFlow and Stele are both inference engines & infra tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

RAGFlow

Open-source RAG engine with deep document understanding, hybrid search, and agentic workflow orchestration.

Stele

Stele is a shared memory layer that sits between your agents and your codebase. Every agent reads the same knowledge graph — decisions, tasks, risks, lessons — before it acts, and writes back what it learns. The atomic task-claiming mechanism means two agents cannot pull the same work item simultaneously, which prevents duplicated effort across parallel sessions. The friction is real: the product is invite-only and cloud-hosted with no self-hosted option, so teams with strict data residency requirements hit a wall immediately.

Attribute	RAGFlow	Stele
Pricing	Paid	Paid
Price	$29/mo	—
Free trial	No	No
Open source	Yes	No
Has API	Yes	No
Self-hosted option	Yes	No
Platforms	Docker, Kubernetes, Linux, macOS, cloud (cloud.ragflow.io)	Web, local plugin (MCP)
Released	2024-04	—
Pros	Deep document understanding and structure recognition reduce noise and hallucinations Unified agentic platform—RAG, tools, and MCPs in one orchestration layer Fully open source, self-hostable, and enterprise-ready deployment options Rich visual UI with workflow builder, citation tracking, and chunking visualization Active community and rapid iteration; frequent feature and model updates	Shared knowledge graph across agents, so switching from Cursor to Claude Code mid-project does not reset the session's understanding of prior decisions and open tasks. Atomic task claiming prevents two agents from starting the same work simultaneously, which means parallel sessions produce additive progress rather than duplicated or conflicting output. Risk and lesson records surface at the moment a relevant change is being made — not after it ships — so an agent flags a known production bug before the code guard that prevents it gets removed. Single CLI install with no dashboard configuration required, so the memory layer becomes active without adding a workflow step between prompts.
Cons	Complex stack requiring Docker, Elasticsearch or Infinity, MySQL, MinIO, Redis—steep DevOps overhead Slower time-to-value for prototyping compared to managed SaaS alternatives Documentation and community libraries smaller than mature frameworks like LangChain	The product is invite-only during beta. Teams that need to start using a shared memory layer immediately cannot — there is no self-service onboarding path, and the waitlist timeline is not published by the vendor. The service is cloud-hosted with no self-hosted option. Teams working under data residency requirements or corporate policies that prohibit sending codebase decisions and task data to a third-party service cannot use Stele at all — and at that point the only path forward is building a local context-passing layer themselves or using a different tool that supports on-premise deployment. There is no API surface exposed by the vendor, so teams that want to pipe Stele data into existing project management or observability tooling have no programmatic integration path beyond what the CLI and agent plugins provide.

Bottom line

RAGFlow is open source; only RAGFlow exposes a public API. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between RAGFlow and Stele?

RAGFlow is Paid and open source, while Stele is Paid. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is RAGFlow better than Stele?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.

RAGFlow vs Stele: which should I pick?

Pick RAGFlow if its pricing model, openness, or platform fit matches your constraints; pick Stele otherwise. Check free-trial availability on each listing if you want to test before committing.

Comparison data is sourced and verified by the AIDiveForge data pipeline. AIDiveForge is editorially independent.