Head-to-head · AI Agent Memory Tools
MCP Memory Service vs Engrama
MCP Memory Service leads on 0 checks, Engrama on 0, and 6 are even. Who comes out ahead on the 6 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreMCP Memory Service · 7.9/10
- Free planboth
- Most featuresMCP Memory Service · 4 of 4
MCP Memory Service scores higher on our rubric for ai agent memory tools: 7.9 against 7.5 out of 10; our editors rank them #3 and #7.
MCP Memory Service is the better fit for open-source teams needing full-stack memory. Engrama is the better fit for developers wanting graph memory with profiles.
- MCP Memory Service fits best
Open-source teams needing full-stack memory
- Engrama fits best
Developers wanting graph memory with profiles
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Side by side
| Feature | MCP Memory Service 7.9/10 Visit ↗ | Engrama 7.5/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 7.9 | 7.5 |
| Ranking | #3 in AI Agent Memory Tools | #7 in AI Agent Memory Tools |
| Best for | Open-source teams needing full-stack memory | Developers wanting graph memory with profiles |
| Pricing model | Free | Free plan + paid |
| Starting price | Free plan | $19/mo |
| Free plan | ✓ | ✓ |
| Free trial | — | — |
| Deployment | Cloud, Self-hosted | Cloud, Self-hosted |
| Platforms | Web, Windows, macOS, Linux | Web |
| Support | Docs | Community |
| Integrations | 25+ integrations | 8 integrations |
| Built for | Solo, Small business, Mid-market, Enterprise | Small business, Mid-market, Enterprise |
| Features MCP Memory Service 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 | MCP Memory Service is an open-source persistent memory layer from doobidoo for AI agents and coding assistants. It stores memories in local or synchronized backends, retrieves them through semantic and hybrid search, and links them in a… 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
MCP Memory Service — where it wins
- Semantic, hybrid BM25-plus-vector search with typed graph links
- Automatic consolidation, decay, compression and pruning
- MCP, REST, OAuth and local ONNX embedding support
Where it doesn't
- Infrastructure costs such as a VPS are separate from the software
- Configuration spans local, remote, REST, OAuth and CLI interfaces
- Support is provided through documentation rather than listed service channels
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
- MCP Memory Service7.9/10 · Free plan
A broad open-source memory layer for teams that can manage deployment and configuration.
Visit siteFull 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