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
Latest metrics (snapshot 2026-10-14)
| stars | 92216 |
|---|---|
| forks | 10987 |
| issues | 1379 |
| pushed_at | 2026-10-14T13:13:05Z |
History
History chart: 1 daily snapshot so far (archive started 2026-10-14). The line fills in as the daily archive grows; full series via the API.
| Date | GitHub stars |
|---|---|
| 2026-10-14 | 92216 |
ADC Momentum: 71/100
| Growth velocity | 85 |
|---|---|
| Consistency | 68 |
| Recency | 99 |
| Agent demand | 0 |
| Basis | bootstrap |
ADC Momentum (0-100) = 45% growth velocity (stars/likes gained per day in our daily archive, relative and absolute, percentile-ranked within the category) + 20% consistency (share of recent days with growth) + 20% recency (latest push/update/release, decaying) + 15% agent demand (how often AI agents looked it up via our API/MCP this week). MCP servers use release cadence; LLMs use price cuts, context and recency. Recomputed daily; scores marked "bootstrap" use lifetime rates until the archive has enough days. Method
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[](https://agentdataco.com/repo/infiniflow/ragflow)<a href="https://agentdataco.com/repo/infiniflow/ragflow"><img src="https://agentdataco.com/badge/repo/infiniflow/ragflow.svg" alt="ADC Momentum"></a>Details
| description | 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 |
|---|---|
| url | https://github.com/infiniflow/ragflow |
| language | Go |
| license | Apache-2.0 |
| topics | agent-harness agentic-ai agentic-nagive agentic-retrieval agentic-search ai ai-agents context-engine context-engineering context-management harness-engineering knowledge-compilation |
| created_at | 2023-12-12T06:13:13Z |
| homepage | https://ragflow.io |
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