infiniflow/ragflow
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
⚡ Executive Summary & Quick Facts
Authoritative Sourceragflow is ragflow is an open-source project written in Go: RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), infiniflow/ragflow has accumulated 92,216 GitHub stars and 10,987 forks. It is written in Go, licensed under Apache-2.0, and ranks #115 globally. It is actively maintained with the latest commit recorded on Oct 14, 2026.”
| Repository | infiniflow/ragflow ↗ |
|---|---|
| Primary Category | agent harness |
| Language & Stack | Go |
| Software License | Apache-2.0 |
| Community Traction | ★ 92.2K stars · ⑂ 11K forks · #115 globally |
| Maintenance | ● Active (Last commit: Oct 14, 2026) · 1,379 open issues |
| Target Audience | Developers and engineering teams building with Go, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 85/100 · Grade AYes, ragflow is actively maintained. Continuous telemetry recorded the last code commit on Oct 14, 2026 (29 days ago). Supported by 92,216 stars and 10,987 community forks, this repository holds a calculated health index of 85/100, reflecting regular maintenance (29 days ago) and high open issue volume (1,379 open).
Star History
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+271
STARS · LAST 30 DAYS
9
PER DAY
#8
MOST-STARRED Go
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +271 | +810 |
| Per day | 1 | 9 | 9 |
| Forks gained | +0 | +44 | +549 |
ragflow gained 271 stars in the last 30 days, about 9 a day, and now has 92.2K. It is about 3 years old and has averaged roughly 30.7K stars a year. It ranks #8 among Go repositories and #115 across all languages on GitHubRepo.
Trending Record
45
DAYS ON TRENDING
#87
BEST RANK
Sep 23, 2026
FIRST APPEARANCE
Active
STATUS TODAY
ragflow has maintained a continuous presence across global trending indexes, peaking at #87. Below is the 30-day activity profile:
💡 Overview
ragflow is an open-source project written in Go: RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-harness, agentic-ai, agentic-nagive. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Go for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ go install github.com/infiniflow/ragflow@latest⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Go >= 1.21 runtime environment
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
ragflow coordinates its core functionality through a modular Go pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with ragflow.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install ragflow using your package manager: `go install github.com/infiniflow/ragflow@latest`
Initialize your project workspace or configuration file for ragflow.
Import ragflow into your codebase or invoke it directly from your terminal.
Execute your test suite or run `ragflow --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Go, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
infiniflow/ragflow is currently ranked #115 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #110 | tt-a1i/archify | JavaScript | ★ 95.4K | Compare ↗ |
| #111 | odysseus-dev/odysseus | Python | ★ 94K | Compare ↗ |
| #112 | vllm-project/vllm | Python | ★ 93.9K | Compare ↗ |
| #113 | louislam/uptime-kuma | JavaScript | ★ 93.4K | Compare ↗ |
| #114 | OpenHands/OpenHands | TypeScript | ★ 93.3K | Compare ↗ |
| #115 | infiniflow/ragflow This Project | Go | ★ 92.2K | |
| #116 | PaddlePaddle/PaddleOCR | Python | ★ 92K | Compare ↗ |
| #117 | astral-sh/uv | Rust | ★ 91.8K | Compare ↗ |
| #118 | home-assistant/core | Python | ★ 91.5K | Compare ↗ |
| #119 | django/django | Python | ★ 91.4K | Compare ↗ |
| #120 | opencv/opencv | C++ | ★ 91.4K | Compare ↗ |
Frequently Asked Questions
What does ragflow do? +
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
Is ragflow actively maintained in 2026? +
Yes, ragflow is actively maintained. The latest code push was recorded on Oct 14, 2026 (29 days ago). It holds a calculated Maintenance Health Score of 85/100 (A rating) with 92,216 stars and 1,379 open issues.
What language is ragflow written in? +
The primary language is Go. Topics include: agent-harness, agentic-ai, agentic-nagive, agentic-retrieval, agentic-search.
How many stars does ragflow have? +
ragflow has 92,216 stars and 10,987 forks on GitHub.
How does ragflow rank among GitHub repositories? +
With 92,216 stars, infiniflow/ragflow is ranked #115 globally across all repositories tracked on GitHubRepo and #8 among Go projects.
What license is ragflow distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
