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LlamaIndex vs Mem0

Side-by-side comparison with live GitHub signals. Last updated May 26, 2026.

L

LlamaIndex

Data framework for LLM applications — RAG, agents, and workflows — 47K+ stars

OSSFree
49.7K6d ago473
M

Mem0

Persistent, adaptive memory layer for AI agents and assistants

OSSfreemium
56.7Ktoday310
MetricLlamaIndexMem0
GitHub Stars49.7K56.7K
Contributors473310
Last CommitMay 20, 2026May 26, 2026
Open Issues396422
Licenseopen-sourceopen-source
Pricingopen-sourcefreemium
Free TierYesYes
Categorydev-toolsdev-tools
TrendingNoNo

Shared Tags

agentsopen-source

Only in LlamaIndex

ragdata-frameworkworkflowspython

Only in Mem0

memorypersonalizationllm-ops

About LlamaIndex

LlamaIndex is the leading data framework for building LLM-powered applications. Provides data connectors for 160+ sources, advanced RAG pipelines, document agents, and a workflow engine for complex agentic applications. The standard for connecting LLMs to your data.

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About Mem0

Mem0 provides a managed memory layer that gives AI agents and chatbots the ability to remember user preferences, past interactions, and contextual facts across sessions. It automatically extracts and stores relevant memories from conversations, retrieves them at inference time via semantic search, and handles forgetting of stale information. Compatible with any LLM and easy to self-host, Mem0 is the most widely adopted open-source memory solution for AI applications.

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