Arize Phoenix vs Mem0
Side-by-side comparison with live GitHub signals. Last updated April 1, 2026.
| Metric | Arize Phoenix | Mem0 |
|---|---|---|
| GitHub Stars | 8.5K | 51.6K |
| Contributors | 120 | 284 |
| Last Commit | Mar 28, 2026 | Apr 1, 2026 |
| Open Issues | — | 243 |
| License | open-source | open-source |
| Pricing | freemium | freemium |
| Free Tier | Yes | Yes |
| Category | dev-tools | dev-tools |
| Trending | Yes | No |
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About Arize Phoenix
Arize Phoenix is an open-source observability platform for LLM applications. It provides tracing for multi-step agent workflows, built-in evaluation with LLM-as-judge and code-based evals, dataset management for experiments, and a visual UI for debugging prompt/response pairs. Phoenix integrates with OpenTelemetry, LangChain, LlamaIndex, and OpenAI, and can run locally or in the cloud.
View full listingAbout 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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