Mem0 vs RAG Failure Diagnostics Clinic
Side-by-side comparison with live GitHub signals. Last updated April 1, 2026.
| Metric | Mem0 | RAG Failure Diagnostics Clinic |
|---|---|---|
| GitHub Stars | 51.6K | 104.2K |
| Contributors | 284 | 74 |
| Last Commit | Apr 1, 2026 | Apr 1, 2026 |
| Open Issues | 243 | 5 |
| License | open-source | open-source |
| Pricing | freemium | open-source |
| Free Tier | Yes | Yes |
| Category | dev-tools | dev-tools |
| Trending | No | No |
Shared Tags
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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.
View full listingAbout RAG Failure Diagnostics Clinic
A diagnostic tool that identifies why RAG pipelines produce poor results. It tests for common failure modes: irrelevant retrieval, missing context, hallucination over context, chunking issues, and embedding quality problems. Provides a structured report with specific fix recommendations for each detected issue. Essential for debugging production RAG systems. Part of the awesome-llm-apps collection.
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