Helicone vs Mem0
Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.
Direct Answer
Helicone suits teams needing freemium $20/mo, observability focus, and 6,093 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 | Helicone | Mem0 |
|---|---|---|
| GitHub Stars | 6.1K | 63.8K |
| Contributors | 96 | 393 |
| Last Commit | Aug 16, 2026 | Aug 21, 2026 |
| Open Issues | 150 | 683 |
| License | open-source | open-source |
| Pricing | freemium | freemium |
| Free Tier | Yes | Yes |
| Category | dev-tools | dev-tools |
| Trending | No | No |
Choose Helicone if you need
- • Helicone stands out for Observability workflows that are not listed for Mem0.
- • Helicone is the stronger pick when Azure Openai matters because that capability is listed only on its profile.
- • Helicone 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 Helicone.
- • 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 6,093 for Helicone.
Meaningful differences
- • Pricing model: Helicone is listed as freemium from $20/mo, while Mem0 is listed as freemium from $49/mo.
- • Workflow emphasis: Helicone highlights Observability, while Mem0 highlights Memory.
- • GitHub adoption: Helicone shows 6,093 stars versus 63,787 for Mem0.
- • Contributor count: Helicone lists 96 contributors and Mem0 lists 393.
Shared capabilities
- • Llm Ops
- • Open Source
- • Openai
- • Anthropic
- • Langchain
Shared Tags
Only in Helicone
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 Helicone
Helicone is an open-source observability platform for LLMs that works as a transparent proxy — add one line to your base URL and immediately get request logging, cost tracking, latency histograms, and user-level analytics. It supports caching, rate limiting, and prompt management out of the box, making it one of the fastest ways to add production visibility to any OpenAI-compatible API call.
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