TL;DR (pick in 30 seconds)
Choose EverOS Cloud
Fastest path to production: use hosted APIs with managed reliability and minimal ops.
Choose Open Source
Full control, deploy on your own infrastructure, operate the stack—bring and maintain your own MongoDB, Milvus, Elasticsearch, and Redis.
Feature Comparison
Setup & getting started
Time to first stored memory and runtime requirements.
Setup & getting started
Time to first stored memory and runtime requirements.
| Feature | EverOS Cloud | Open Source |
|---|---|---|
| Time to get first memory | 5 minutes | 15 minutes |
| Infrastructure predeploy | None (managed service) | Required: MongoDB + Milvus + Elasticsearch + Redis |
| API Key setup | Managed on console | No need |
Core memory features
Key memory pipeline stages (from the EverOS framework).
Core memory features
Key memory pipeline stages (from the EverOS framework).
| Feature | EverOS Cloud | Open Source |
|---|---|---|
| Semantic segmentation | ✅ | ✅ |
| Episode generation (3rd-person narrative) | ✅ | ✅ |
| Atomic facts extraction | ✅ | ✅ |
| Multi‑granularity indexing (Episode + Facts) | ✅ | ✅ |
| Thematic clustering | ✅ | ✅ |
| Profile evolution (structured user profile) | ✅ | ✅ |
| Prospection generation (time‑scoped) | ✅ | ✅ |
| Hybrid retrieval (vector + BM25 + RRF) | ✅ | ✅ |
| Agentic retrieval (necessity & sufficiency loop) | ✅ | ✅ |
| Evidence-based perception | ✅ | ✅ |
Advanced capabilities
Production features beyond the core algorithm.
Advanced capabilities
Production features beyond the core algorithm.
| Feature | EverOS Cloud | Open Source |
|---|---|---|
| Auto‑scaling | ✅ Built-in | Depends on your deployment |
| High availability | ✅ Built-in | Depends on your deployment |
| Dashboard | ✅ Built-in | ❌ |
| Memory visibility | ✅ Built-in | ❌ |
Next Steps
Cloud overview
Understand how EverOS Cloud ingests, organizes, and retrieves memories.
Cloud quickstart
Make your first API call and save/retrieve memory in minutes.
Open source quickstart
Set up the open-source stack and run EverOS in your own environment.
If you’re planning a production deployment and would like a recommendation, email us at contact@evermind.ai with your constraints (region, compliance, scale, customization).