Project comparison
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Persistent file-based planning for AI coding agents and long-running tasks. Crash-proof markdown plans, session recovery after /clear and compaction, per-turn re-injection against context rot, deterministic completion gate. Manus-style. Claude Code, Codex, Cursor, Kiro, OpenCode and 60+ agents via the Agent Skills standard.
Best matched with other agent tools.
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
Best matched with other agent tools.
ragflow has the larger GitHub footprint with 91.7K stars.
ragflow is currently growing faster at +5.4K stars this week.
ragflow has the stronger automated maintenance signal at 95/100. This is not a security or fit verdict.
Use these signals to narrow your choice, then confirm setup, license, and fit upstream.
| Signal | Planning With Files | ragflow |
|---|---|---|
| Evidence status | Needs recheck· 2026-09-07 09:36 UTC | Verified snapshot· 2026-10-04 09:19 UTC |
| GitHub stars | 25.6K | 91.7K |
| Weekly growth | +4.7K | +5.4K |
| Health score | Strong80/100 | Strong95/100 |
| Contributors | 50 | 681 |
| Commits per week | 8.1 | 133.2 |
| Open issues | 5 | 2.1K |
| Language | Python | Go |
| License | MIT | Apache-2.0 |
| Last commit | 2026-07-21 21:29 UTC | 2026-10-04 04:08 UTC |
| Last release | v3.8.1 | v0.26.4 |
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