Chroma vs Mem0
Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.
Direct Answer
Chroma suits teams needing freemium free tier, vector database focus, and 29,125 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 | Chroma | Mem0 |
|---|---|---|
| GitHub Stars | 29.1K | 63.8K |
| Contributors | 189 | 393 |
| Last Commit | Aug 21, 2026 | Aug 21, 2026 |
| Open Issues | 799 | 683 |
| License | open-source | open-source |
| Pricing | freemium | freemium |
| Free Tier | Yes | Yes |
| Category | dev-tools | dev-tools |
| Trending | No | No |
Choose Chroma if you need
- • Chroma stands out for Vector Database workflows that are not listed for Mem0.
- • Chroma is the stronger pick when Llamaindex matters because that capability is listed only on its profile.
- • Chroma is the cleaner fit if you specifically need Vector Database workflows from the catalog tags.
Choose Mem0 if you need
- • Mem0 stands out for Memory workflows that are not listed for Chroma.
- • Mem0 is the stronger pick when Anthropic matters because that capability is listed only on its profile.
- • Mem0 shows broader GitHub adoption with 63,787 stars versus 29,125 for Chroma.
Meaningful differences
- • Pricing model: Chroma is listed as freemium, while Mem0 is listed as freemium from $49/mo.
- • Workflow emphasis: Chroma highlights Vector Database, while Mem0 highlights Memory.
- • GitHub adoption: Chroma shows 29,125 stars versus 63,787 for Mem0.
- • Contributor count: Chroma lists 189 contributors and Mem0 lists 393.
Shared capabilities
- • Open Source
- • Langchain
- • Openai
Shared Tags
Only in Chroma
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 Chroma
Chroma is the open-source vector database built for AI applications. Store embeddings alongside metadata, perform similarity search, and build RAG pipelines with a simple Python/JavaScript API. Runs locally or as a hosted service, with built-in support for automatic embedding generation.
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