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LlamaIndex vs Mem0

Side-by-side comparison with live GitHub signals. Last updated April 1, 2026.

L

LlamaIndex

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

OSSFree
48.2Ktoday474
M

Mem0

Persistent, adaptive memory layer for AI agents and assistants

OSSfreemium
51.6Ktoday284
MetricLlamaIndexMem0
GitHub Stars48.2K51.6K
Contributors474284
Last CommitMar 31, 2026Apr 1, 2026
Open Issues262243
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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