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Agents tracked: 442 Downloads (7d): 202M down 19.3% GitHub stars: 10.4M Releases (7d): 693 Agent status: 1 with issuesSince last limit reset: Claude 28d · Codex 1d Updated Oct 21, 2026

Ragflow by InfiniFlow

Open-source retrieval-augmented generation (RAG) engine from InfiniFlow with agent features: it extracts knowledge from complex documents through deep document understanding, keeps it as a searchable knowledge base and lets you build agents on top from pre-built templates, including agentic RAG with several thinking modes. Self-host it with Docker or use the hosted RAGFlow Cloud.

Agent builders and workflow automation New · Added to AgentGid on Oct 11, 2026RAG engine and agent builderOpen source · Apache-2.0Free to start

Use it in: Web app Self-hosted API / SDK MCP server Works with: MCP Local models Own API key Multi-agent

Price
Free
free tier available
Popularity
#9 in Automation
Gid Score 28 / 100 · #162 of 260 ranked AI agents
Trend
Gaining stars fast
about +63 GitHub stars a day
Development
Updated recently
latest 0.27.2, 41d ago
Community
92.6K GitHub stars
public signals

Usage data: latest readings Oct 20 to Oct 21, 2026, last checked Oct 21, 06:39 UTC. Date of each number

What Ragflow does

Ragflow is a RAG engine and agent builder from InfiniFlow, first released in December 2023. You use it through web app, self-hosted, an API and MCP server. Its documentation covers MCP servers, subagents or parallel agents, your own API key and local models. It is free and open source (Apache-2.0); you pay only for the models it calls.

Key facts

MakerInfiniFlow
TypeRAG engine and agent builder
First releasedDecember 2023
LicenseApache-2.0
InterfacesWeb app, Self-hosted, API, MCP server
Main languageGo
Open issues and PRs1,342

Pricing

Free to self-host (Apache-2.0). RAGFlow Cloud has a Free plan (500 credits a month), paid Starter and Pro plans and Enterprise (BYOC or on-premises); see ragflow.io for current prices.

Source: official pricing page, checked Oct 11, 2026. Prices change often; confirm before you buy.

Compare prices of all agents

Quick answers

  • Free to start?Yes
  • Open source?Yes (Apache-2.0)
  • Where you use itWeb app, Self-hosted, API, MCP server
  • Supports MCP?Yes
  • Model providersany OpenAI-compatible, local
  • Subagents / multi-agent?Yes
  • Feature comparisonAll agents
  • Closest alternativen8n · all alternatives

AgentGid articles about Ragflow

All guides

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Ratings from people who use Ragflow

No ratings yet. Used Ragflow? Rate it and say what it is good and bad at.

Ragflow news

All AI agent news

  1. New on AgentGid AgentGid

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    Paperclip, Graphify, Agent-Reach, ECC, OpenMontage, Ruflo, OmniRoute, Claude Mem, Ragflow, Openhuman

What changed: recent Ragflow releases

3 stable releases in the last 90 days · Full changelog

0.27.2
  • Agentic RAG: Refactored the Agentic RAG retrieval framework, significantly improving reasoning speed and benchmark performance. (#19046, #19112, #19172, #19209, #19424, #19459)
  • Knowledge compilation runtime settings (#19254)
  • Enforce a rate limit on the knowledge compilation pipeline (#19156)
  • Knowledge graph shows total and current node counts (#19142,#19095, #19114)
  • Graph search highlights the node when pressing Enter on an entity name (#19320)
  • New Sitemap data source for sitemap.xml-based web ingestion (#19344)
0.27.1
  • New Azure DevOps connector for data sources (#18715)
  • New You.com web search provider for chat and agent (#18478)
  • New Serply web search provider for chat (#18475)
  • New Synthorai model provider (#18830)
  • Missing DeepSeek models added (#18678)
  • AWS Bedrock API key authentication support (#18301)
Earlier releases
0.27.0
  • Brand new document level and dataset level knowledge compilation, supporting Wiki, Graph, Tree, Page Index, Mind Map, Timeline, and To Skills (#16777, #17546, #16797, #16749, #16899, #17996)
  • The previous GraphRAG and RAPTOR features have been deprecated and are no longer available in the UI. Their replacements, Graph and Tree, are now integrated into Knowledge Compilation. Previously…
  • Brand new Agentic RAG with four thinking modes when answering - Low, Medium, High, and Ultra (#18303, #18138, #17342, #17444)
  • Fully revamped model provider system for easier model configuration and management (#16604)
  • Qwen 3.8 series (#18368)
  • Kimi K3 (#17106)
0.26.4
  • NLP/Tokenization: Adds a language-aware Snowball stemmer supporting 16 languages, integrates the dataset language parameter across the tokenization pipeline, and adds Dutch to the frontend. #14140
  • The system crashed with a ValueError when parsing LM-Studio model names containing an '@' symbol. #16467
  • The MCP server crashed because the listchats function expected a list from the /chats API but received a paginated dictionary instead. #16639
  • The Docling parser silently dropped mathematical formulas from documents instead of extracting them. #16645
  • The system failed to persist inline edits made to metadata values to the backend. #16655
  • The system removed existing links when bulk-linking files to datasets. #16587
0.26.3
  • Data source connector: Introduces Google BigQuery as a data source connector for document ingestion and incremental syncing. #15871
  • MCP: Adds two MCP tools ragflowlistdatasets and ragflowlistchats to the RAGFlow MCP server. #15384
  • File ingestion
  • Integrates the layout-aware SoMark OCR parser into the system for extracting and indexing complex document elements like tables and figures. #16482
  • API: Exposes the Ingest documents endpoint for processing documents using a customized pipeline. #16395
  • Backend: Introduces partial success handling for batch document uploads, ensuring that a single failed file no longer causes the entire batch to be discarded. #16438
0.26.2
  • Chat channels
  • Integrates WhatsApp via a QR code scan. #16238
  • Integrates DingTalk via bot API credentials. #16183
  • Integrates WeCom via WebSocket connection. #16175
  • File parsing: Adds fallback logic for PP-OCRv6 and similar text recognition models, and integrates image parsing within the PaddleOCR pipeline. #16150
  • Adds an edge-case check to the file ingestion logic to safely link empty folders to a dataset. #16296

Ragflow popularity and usage data

The GitHub repository has 92.6K stars, 1,684 of them added in the last 30 days. The latest stable release is 0.27.2, published Sep 10, 2026.

GitHub starsrunning total 92.6K
Website rankTranco list; a lower rank means more traffic #871,428

Download the raw daily series: ragflow.csv

Gid Score breakdown

Adoption2
Community82
Attention—
Momentum51

Each component is scored 0 to 100 from public signals; a dash means no data for it. Methodology.

How fresh these numbers are

NumberLatest readingLast checked
GitHub starsOct 21, 2026Oct 21, 06:32 UTC
Website rank (Tranco)Oct 20, 2026Oct 21, 06:39 UTC

We fetch every source once a day. Registries publish downloads and page views a day or two late, so their latest reading trails the check. A reading more than 4 days old is marked out of date; the Gid Score still uses it until a newer one arrives.

Ragflow FAQ

How much does Ragflow cost?

Free to self-host (Apache-2.0). RAGFlow Cloud has a Free plan (500 credits a month), paid Starter and Pro plans and Enterprise (BYOC or on-premises); see ragflow.io for current prices.

Is Ragflow open source?

Yes. Ragflow is open source, released under the Apache-2.0 license.

How popular is Ragflow?

The GitHub repository has 92.6K stars, 1,684 of them added in the last 30 days. The latest stable release is 0.27.2, published Sep 10, 2026.

What is the latest version of Ragflow?

The latest stable release we track is 0.27.2, published on Sep 10, 2026.

What are the alternatives to Ragflow?

The closest alternatives in the same category by Gid Score are n8n, Dify, Flowise, AnythingLLM.

For the makers of Ragflow badges, corrections

Add a live badge to your README or site:

AgentGid: #9 in Automation Gid Score: 28/100

[![AgentGid: #9 in Automation](https://agentgid.com/badges/ragflow-rank.svg)](https://agentgid.com/agents/ragflow/)
[![Gid Score: 28/100](https://agentgid.com/badges/ragflow-score.svg)](https://agentgid.com/agents/ragflow/)

Something wrong or outdated on this page? Send a correction with a link to the official source. More for makers.

Where these numbers come from

GitHub: infiniflow/ragflow. Site rank: ragflow.io on the Tranco list. See data sources for how each one is collected.

Product facts and pricing were checked against: ragflow.io, github.com.