UltraRAG
Low-code MCP-based framework from OpenBMB for building and debugging complex RAG pipelines with visible reasoning logic.
Updated
✨ Try AgentScout's free AI image generator →Good for: writing code, building AI agents, connecting tools with MCP
Use cases
About UltraRAG
UltraRAG is listed in our memory & RAG category and is aimed at builders. Low-code MCP-based framework from OpenBMB for building and debugging complex RAG pipelines with visible reasoning logic. Pricing, as the maker states it: Open source. Maturity: Mature. We last checked the official link on 2026-10-18.
UltraRAG at a glance
- Category: Memory & RAG
- Built for: Developers and teams building with AI agents
- Pricing: Open source (as the maker states it)
- Licence: Apache License 2.0 (OSI-approved open source)
- GitHub: OpenBMB/UltraRAG · 5,730 stars (as of Oct 21, 2026)
- Latest release: v0.3.0.3, Sep 15, 2026
- Last commit: Oct 13, 2026
- Official site: ultrarag.github.io
- Listed on AgentScout: Oct 18, 2026
UltraRAG FAQ
What is UltraRAG?
Low-code MCP-based framework from OpenBMB for building and debugging complex RAG pipelines with visible reasoning logic.
How much does UltraRAG cost?
UltraRAG's pricing, as the maker states it: Open source. Open-source tools are free to use, though you may still pay for model API usage or a hosted plan. Check the official site for current plans.
Is UltraRAG open source?
Yes. UltraRAG's GitHub repository is published under the Apache License 2.0, according to the licence file in the repo.
Where can I find UltraRAG's source code?
On GitHub at OpenBMB/UltraRAG, which had 5,730 stars as of Oct 21, 2026. The latest release is v0.3.0.3 (Sep 15, 2026).
What are alternatives to UltraRAG?
Similar tools include RAGFlow, Agentset, llmware, Honcho, PageIndex and Pixeltable.
Facts from our link-checked listing, the GitHub repository and the official site. See something wrong? Suggest an edit.
UltraRAG ratings and reviews
Be the first to rate UltraRAG: tap 1 to 5 stars below. A written review is optional.
UltraRAG alternatives
Other memory & RAG tools in our directory. See all memory & RAG tools →
RAGFlow
Open-source RAG engine with deep document parsing and agent features for building grounded question-answering over your files.
Agentset
Open-source RAG platform for building agents and apps that answer accurately from your documents.
llmware
Framework for building private, local RAG and agent applications with small specialized models on AI PCs, edge and self-hosted setups.
Honcho
Memory library and service for building stateful agents that remember users.
PageIndex
Document index for reasoning-based, vectorless RAG that lets agents navigate long documents like a table of contents.
Pixeltable
Multimodal data layer that combines storage, transforms, indexing and retrieval in one Python library for building agents over images, video and documents.
Related lists
🏆 Ranked in: Headroom alternatives
🔁 Listed in: Headroom alternatives
🧭 Task guides: RAG and document tools for building AI agents
Badge for makers
Built UltraRAG? Add this badge to your README or site. It links back to this page. About badges