Langfuse vs Mem0
Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.
Direct Answer
Langfuse suits teams needing freemium free tier, observability focus, and 33,539 GitHub stars in current listing data. Mem0 suits teams needing freemium $49/mo, memory focus, and 63,787 GitHub stars in current listing data. This summary reflects catalog metadata only for decision support, not independent testing.
What this comparison weighs
- Pricing and free-tier availability
- License model and deployment fit
- GitHub adoption and contributor depth
- Catalog tags, integrations, and supported workflows
| Metric | Langfuse | Mem0 |
|---|---|---|
| GitHub Stars | 33.5K | 63.8K |
| Contributors | 196 | 393 |
| Last Commit | Aug 22, 2026 | Aug 21, 2026 |
| Open Issues | 811 | 683 |
| License | open-source | open-source |
| Pricing | freemium | freemium |
| Free Tier | Yes | Yes |
| Category | dev-tools | dev-tools |
| Trending | No | No |
Choose Langfuse if you need
- • Langfuse stands out for Observability workflows that are not listed for Mem0.
- • Langfuse is the stronger pick when Llamaindex matters because that capability is listed only on its profile.
- • Langfuse is the cleaner fit if you specifically need Observability workflows from the catalog tags.
Choose Mem0 if you need
- • Mem0 stands out for Memory workflows that are not listed for Langfuse.
- • Mem0 is the stronger pick when Langgraph matters because that capability is listed only on its profile.
- • Mem0 shows broader GitHub adoption with 63,787 stars versus 33,539 for Langfuse.
Meaningful differences
- • Pricing model: Langfuse is listed as freemium, while Mem0 is listed as freemium from $49/mo.
- • Workflow emphasis: Langfuse highlights Observability, while Mem0 highlights Memory.
- • GitHub adoption: Langfuse shows 33,539 stars versus 63,787 for Mem0.
- • Contributor count: Langfuse lists 196 contributors and Mem0 lists 393.
Shared capabilities
- • Open Source
- • Langchain
- • Openai
- • Anthropic
Shared Tags
Only in Langfuse
Only in Mem0
Limitations and evidence
- • DeepYard compares structured public metadata; this is not an independent benchmark unless a test record is shown.
- • Signals such as stars, contributors, and last commit indicate public activity, not purchase fit or runtime quality.
- • Pricing and feature coverage reflect the stored listing snapshot and may lag vendor changes between refreshes.
About Langfuse
Langfuse is an open-source LLM engineering platform providing observability, analytics, and prompt management. Features distributed tracing for complex agent chains, evaluation scoring, prompt versioning and A/B testing, dataset management, and cost tracking. Integrates with LangChain, LlamaIndex, OpenAI SDK, and any LLM framework via OpenTelemetry.
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.
View full listing