Compare RAG, knowledge & memory
Mem0 vs LlamaIndex
Updated : the last week a score, rank or safety result on this page changed.
- Maintenance 30%5227
- Adoption 30%4842
- Docs 20%6969
- Community 20%, not measured yet––
Mem0 scores 12 points higher. Mem0 leads on maintenance and adoption.
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 Mem0 if
- Recent activity and releases matter most to you (maintenance 52).
- You want the more widely adopted option (adoption 48).
Pick LlamaIndex if
- No measured signal where it leads all the others.
Safety side by side
Automated scan, 2 Nov 2026. Not a manual audit.
- 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.
- 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 | Mem0 | LlamaIndex |
|---|---|---|
| Score | 55 | 43 |
| Stars | 68,260 | 52,777 |
| Last push | 30 Oct | 26 Oct |
| Releases, 90 days | 10+ | 2 |
| Licence | Apache-2.0 | MIT |
| Open source | Open source | Open source |
| Language | Python | Python |
| Type | AI tool | Agent framework |
| Runs locally | yes | yes |
| Hosted option | 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 Mem0 vs LlamaIndex
Answers use this week's StackGrade data.
Mem0 or LlamaIndex: which scores higher on StackGrade?
Mem0 scores 12 points higher in Week 45: Mem0 55, LlamaIndex 43 out of 100. The score combines maintenance, adoption and docs (percentiles of public GitHub signals): 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 Mem0 or LlamaIndex safer to use?
Safety labels from the automated scan of 2 Nov 2026: 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, Mem0 or LlamaIndex?
By GitHub stars: Mem0 68,260, LlamaIndex 52,777. Adoption score (percentile among all 52 tracked tools): Mem0 48, LlamaIndex 42. Stars are one public signal and do not measure real-world use.
Which licences do Mem0 and LlamaIndex use?
Mem0: Apache-2.0; LlamaIndex: MIT. Read each licence text before commercial use.
Should I pick Mem0 or LlamaIndex?
Pick Mem0 if recent activity and releases matter most to you (maintenance 52); you want the more widely adopted option (adoption 48). Pick LlamaIndex if no measured signal puts it ahead of the others. This comes from measured public data and licences only, not from hands-on testing.
Full comparison table, every criterion
| Mem0mem0ai/mem0 | LlamaIndexrun-llama/llama_index | |
|---|---|---|
| Score | 55 | 43 |
| Rank | #21 overall · #2 in use case | #35 overall · #3 in use case |
| Maintenance (30%) | 52 | 27 |
| Adoption (30%) | 48 | 42 |
| Docs (20%) | 69 | 69 |
| Community (20%) | not measured | not measured |
| Safety | Caution
| Caution
|
| License | Apache-2.0 | MIT |
| Open source | Open source | Open source |
| Language | Python | Python |
| Stars | 68,260 | 52,777 |
| Last push | ||
| Type | AI tool | Agent framework |
| Runs locally | yes (README: "pip install") | yes (README: "pip install") |
| Hosted option | mentioned (README: "managed service") | mentioned (README: "Sign up for ") |
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