Head-to-head · AI Agent Memory Tools
Mem0 vs Engrama
Mem0 leads on 0 checks, Engrama on 0, and 7 are even. Who comes out ahead on the 7 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreMem0 · 8.8/10
- Free planboth
- Most featuresMem0 · 4 of 4
Mem0 scores higher on our rubric for ai agent memory tools: 8.8 against 7.5 out of 10; our editors rank them #2 and #7.
Mem0 is the better fit for teams needing broad, compliant memory infrastructure. Engrama is the better fit for developers wanting graph memory with profiles.
- Mem0 fits best
Teams needing broad, compliant memory infrastructure
- Engrama fits best
Developers wanting graph memory with profiles
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Side by side
| Feature | Mem0 8.8/10 Visit ↗ | Engrama 7.5/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.8 | 7.5 |
| Ranking | #2 in AI Agent Memory Tools | #7 in AI Agent Memory Tools |
| Best for | Teams needing broad, compliant memory infrastructure | Developers wanting graph memory with profiles |
| Pricing model | Free plan + paid | Free plan + paid |
| Starting price | $19/mo | $19/mo |
| Free plan | ✓ | ✓ |
| Free trial | — | — |
| Deployment | Cloud, Self-hosted | Cloud, Self-hosted |
| Platforms | Web | Web |
| Support | Community, Docs | Community |
| Compliance | SOC 2, HIPAA, GDPR, SSO/SAML | SSO/SAML |
| Integrations | 25+ integrations | 8 integrations |
| Built for | Solo, Small business, Mid-market, Enterprise | Small business, Mid-market, Enterprise |
| Features Mem0 4/4 · Engrama 3/4 | ||
| Semantic memory | ✓ | ✓ |
| Episodic memory | ✓ (best) | Not checked yet |
| User/profile memory | ✓ | ✓ |
| Graph-based memory | ✓ | ✓ |
| Specs | ||
| Deployment options | Both | Both |
| SDK languages | 2 | 2 |
| Retention policy | Configurable | Not checked yet |
| Our review | ||
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| Our verdict | Mem0 provides a memory layer for AI agents and applications. It extracts facts, decisions, and preferences from conversations, stores them as persistent memories, and retrieves relevant context across sessions and agents. Semantic vector… Read the review → |
Engrama provides long-term memory infrastructure for AI agents, copilots, chatbots and personal assistants. It extracts facts and intents from conversations and connected data, links them in typed, versioned graphs, and returns ranked… Read the review → |
Strengths and trade-offs
Mem0 — where it wins
- Persistent, semantic, graph, and episodic memory with contradiction handling
- Managed API and open-source self-hosting across cloud and private infrastructure
- 25 integrations plus configurable expiration and scoped identifiers
Where it doesn't
- Graph memory and Dream are limited to Pro and Enterprise plans
- Hobby and Starter list community support only
- Enterprise pricing is custom, which makes budgeting less predictable
Engrama — where it wins
- Automatic fact and intent extraction from conversations
- Typed, versioned graphs with hybrid graph and vector retrieval
- Hosted or self-hosted deployment with TypeScript and Python SDKs
Where it doesn't
- Analytics and webhooks are available only on paid tiers
- SSO/SAML and uptime SLAs start with the Scale plan
- Unlimited tokens and search are reserved for Enterprise
- Mem08.8/10 · Free plan
A flexible memory layer with semantic, graph, and self-hosted deployment options.
Visit Mem0Full verdict → - Engrama7.5/10 · Free plan
Engrama gives agents graph-based memory, profiles and hybrid retrieval from $19 monthly.
Visit EngramaFull verdict →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update