Compare RAG, knowledge & memory
RAGFlow vs Mem0 vs LlamaIndex
3 tools side by side on public signals only.
Updated : the last week a score, rank or safety result on this page changed.
- #1RAGFlowmaintenance 77 · adoption 62 · docs 6969Caution
- #2Mem0maintenance 52 · adoption 48 · docs 6955Caution
- #3LlamaIndexmaintenance 27 · adoption 42 · docs 6943Caution
What this does not tell you
Scores are percentiles of public GitHub signals. Nobody here tested these tools hands-on, so the higher score is not a verdict on which suits your project. Yellow marks the higher value.
Which one fits you
From measured data and licences, not from testing.
Pick RAGFlow if
- Recent activity and releases matter most to you (maintenance 77).
- You want the more widely adopted option (adoption 62).
Pick Mem0 if
- You want to run it on your own machine (local install found in the README).
Pick LlamaIndex if
- You want to run it on your own machine (local install found in the README).
Safety side by side
Automated scan, 2 Nov 2026. Not a manual audit.
- CautionRAGFlow3 critical-severity known vulnerabilities in runtime dependencies (OSV)
- CautionMem018 critical-severity known vulnerabilities in runtime dependencies (OSV). Agent file pipes a script into a shell
- CautionLlamaIndex39 critical-severity known vulnerabilities in runtime dependencies (OSV)
Why different labels?
A label partly reflects how much of each tool is visible and scannable, not only how risky it is. A tool without a lockfile cannot get a dependency check.
- RAGFlow: 3 critical-severity known vulnerabilities in runtime dependencies (OSV)
- Mem0: 18 critical-severity known vulnerabilities in runtime dependencies (OSV); Skill/agent file instructs piping a remote script into a shell: skills/mem0-oss-to-platform/references/gotchas.md — curl -fsSL https://raw.githubusercontent.com/mem0ai/mem0/main/scripts/oss-to-platform-migrate.sh | bash
- LlamaIndex: 39 critical-severity known vulnerabilities in runtime dependencies (OSV)
Repo facts
Yellow = the higher value, where higher is better.
| Fact | RAGFlow | Mem0 | LlamaIndex |
|---|---|---|---|
| Score | 69 | 55 | 43 |
| Stars | 93,321 | 68,260 | 52,777 |
| Last push | 2 Nov | 30 Oct | 26 Oct |
| Releases, 90 days | 10+ | 10+ | 2 |
| Licence | Apache-2.0 | Apache-2.0 | MIT |
| Open source | Open source | Open source | Open source |
| Language | Go | Python | Python |
| Type | AI tool | AI tool | Agent framework |
| Runs locally | unknown | yes | yes |
| Hosted option | mentioned | mentioned | mentioned |
“Runs locally” and “Hosted option” are read from each README automatically (or from the official docs where noted); “unknown” means no evidence was found, not that it is absent.
Questions about RAGFlow vs Mem0 vs LlamaIndex
Answers use this week's StackGrade data.
RAGFlow, Mem0 or LlamaIndex: which scores higher on StackGrade?
Highest to lowest in Week 45: RAGFlow 69, Mem0 55, LlamaIndex 43 out of 100. The score combines maintenance, adoption and docs (percentiles of public GitHub signals): RAGFlow 77, 62 and 69; Mem0 52, 48 and 69; LlamaIndex 27, 42 and 69. Community (20% weight) is not measured yet. It is not a hands-on test, so a higher score does not say which tool suits your project.
Is RAGFlow, Mem0 or LlamaIndex safer to use?
Safety labels from the automated scan of 2 Nov 2026: RAGFlow: Caution, 3 critical-severity known vulnerabilities in runtime dependencies (OSV); Mem0: Caution, 18 critical-severity known vulnerabilities in runtime dependencies (OSV); LlamaIndex: Caution, 39 critical-severity known vulnerabilities in runtime dependencies (OSV). It is an automated scan, not a manual audit.
Which is more widely used, RAGFlow, Mem0 or LlamaIndex?
By GitHub stars: RAGFlow 93,321, Mem0 68,260, LlamaIndex 52,777. Adoption score (percentile among all 52 tracked tools): RAGFlow 62, Mem0 48, LlamaIndex 42. Stars are one public signal and do not measure real-world use.
Which licences do RAGFlow, Mem0 and LlamaIndex use?
RAGFlow: Apache-2.0; Mem0: Apache-2.0; LlamaIndex: MIT. Read each licence text before commercial use.
Should I pick RAGFlow, Mem0 or LlamaIndex?
Pick RAGFlow if recent activity and releases matter most to you (maintenance 77); you want the more widely adopted option (adoption 62). Pick Mem0 if you want to run it on your own machine (local install found in the README). Pick LlamaIndex if you want to run it on your own machine (local install found in the README). This comes from measured public data and licences only, not from hands-on testing.
Full comparison table, every criterion
| RAGFlowinfiniflow/ragflow | Mem0mem0ai/mem0 | LlamaIndexrun-llama/llama_index | |
|---|---|---|---|
| Score | 69 | 55 | 43 |
| Rank | #6 overall · #1 in use case | #21 overall · #2 in use case | #35 overall · #3 in use case |
| Maintenance (30%) | 77 | 52 | 27 |
| Adoption (30%) | 62 | 48 | 42 |
| Docs (20%) | 69 | 69 | 69 |
| Community (20%) | not measured | not measured | not measured |
| Safety | Caution
| Caution
| Caution
|
| License | Apache-2.0 | Apache-2.0 | MIT |
| Open source | Open source | Open source | Open source |
| Language | Go | Python | Python |
| Stars | 93,321 | 68,260 | 52,777 |
| Last push | |||
| Type | AI tool | AI tool | Agent framework |
| Runs locally | unknown | yes (README: "pip install") | yes (README: "pip install") |
| Hosted option | mentioned (README: "our cloud") | mentioned (README: "managed service") | mentioned (README: "Sign up for ") |
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