Enkrypt AI vs Mem0 Security / OpenMemory
Enkrypt AI vs Mem0 Security / OpenMemory: side-by-side comparison of two memory governance, privacy & safety systems — architecture, taxonomy, license, pricing, MCP/A2A support, and direct edges.
Cost & capability
| Enkrypt AI | Mem0 Security / OpenMemory | |
|---|---|---|
| Cost tier | — | premium |
| Use cases | — | Memory Augmented Chat, Long Running Session, Offline Capable |
Where they differ (11)
Rows where both sides have data and the values disagree — the shortlist of dimensions that actually distinguish these two systems.
| Enkrypt AI | Mem0 Security / OpenMemory | |
|---|---|---|
| Type | Three-point RAG / memory pipeline guardrails | SOC 2 + HIPAA + zero-trust + BYOK |
| Created | 2022 (founded 2022 by Sahil Agarwal and Prashanth Harshangi; Yale PhDs) | 2024-01 (Mem0 launched Jan 2024; security features and HIPAA BAA added with enterprise tier) |
| Pricing | Explore free; Launch $149/mo ($134/mo annual); Scale $1,499/mo ($1,349/mo annual); Enterprise custom | Hobby free (10K adds/1K retrievals/mo); Starter $19/mo; Pro $249/mo; Enterprise custom |
| Funding | Acquired by Anaconda (2026-08-04; terms undisclosed); prior total $2.35M (Seed led by Boldcap, 2024-02-27) | $24M total ($3.9M seed Kindred + $20M Series A Basis Set + YC + Peak XV Oct 2025) |
| Backend storage | custom | hybrid |
| Deployment | SaaS for self-serve tiers; Enterprise offers VPC / on-prem deployment | SaaS cloud; Enterprise VPC; OpenMemory hosted or self-hosted (Docker) |
| Embedding | locked | multiple supported |
| Multi-tenancy | hard-isolation | namespace |
| MCP | yes — MCP server scanning (Launch tier) and MCP Gateway + Registry (Scale/Enterprise) | native (first-party) |
| A2A | no data — searched enkryptai.com, enkryptai.com/platform/capabilities/ai-risk-removal, docs.enkryptai.com; A2A protocol not advertised | no data — searched mem0.ai/security, docs.mem0.ai, docs.mem0.ai/platform/overview; A2A protocol not advertised |
| OpenTelemetry | no data — searched enkryptai.com, docs.enkryptai.com; OpenTelemetry export not advertised | no data — searched mem0.ai/security, docs.mem0.ai, docs.mem0.ai/platform/overview; OpenTelemetry export not advertised on enterprise tier |
At a glance
| Enkrypt AI | Mem0 Security / OpenMemory | |
|---|---|---|
| Section | Memory governance, privacy & safety | Memory governance, privacy & safety |
| Tier | T1 | T1 |
| Type | Three-point RAG / memory pipeline guardrails | SOC 2 + HIPAA + zero-trust + BYOK |
| Created | 2022 (founded 2022 by Sahil Agarwal and Prashanth Harshangi; Yale PhDs) | 2024-01 (Mem0 launched Jan 2024; security features and HIPAA BAA added with enterprise tier) |
| Latest release | — | v2.2.1 (2026-09-25) |
| License | — | Apache-2.0 |
| GitHub | — | mem0ai/mem0 — ~67.3k stars, last release 2026-09 |
| Pricing | Explore free; Launch $149/mo ($134/mo annual); Scale $1,499/mo ($1,349/mo annual); Enterprise custom | Hobby free (10K adds/1K retrievals/mo); Starter $19/mo; Pro $249/mo; Enterprise custom |
| Funding | Acquired by Anaconda (2026-08-04; terms undisclosed); prior total $2.35M (Seed led by Boldcap, 2024-02-27) | $24M total ($3.9M seed Kindred + $20M Series A Basis Set + YC + Peak XV Oct 2025) |
| Backend storage | custom | hybrid |
| Deployment | SaaS for self-serve tiers; Enterprise offers VPC / on-prem deployment | SaaS cloud; Enterprise VPC; OpenMemory hosted or self-hosted (Docker) |
| API surface | REST (typical SaaS REST + first-party SDK pattern; see vendor docs for language coverage) | REST (typical SaaS REST + first-party SDK pattern; see vendor docs for language coverage) |
| Embedding | locked | multiple supported |
| Multi-tenancy | hard-isolation | namespace |
| MCP | yes — MCP server scanning (Launch tier) and MCP Gateway + Registry (Scale/Enterprise) | native (first-party) |
| A2A | no data — searched enkryptai.com, enkryptai.com/platform/capabilities/ai-risk-removal, docs.enkryptai.com; A2A protocol not advertised | no data — searched mem0.ai/security, docs.mem0.ai, docs.mem0.ai/platform/overview; A2A protocol not advertised |
| OpenTelemetry | no data — searched enkryptai.com, docs.enkryptai.com; OpenTelemetry export not advertised | no data — searched mem0.ai/security, docs.mem0.ai, docs.mem0.ai/platform/overview; OpenTelemetry export not advertised on enterprise tier |
| Optimised for | governance + compliance + audit + adversarial hardening | governance + compliance + audit + adversarial hardening |
| Anti-fit | not for hobbyist / non-production use cases | not for hobbyist / non-production use cases |
Taxonomy
| Axis | Enkrypt AI | Mem0 Security / OpenMemory |
|---|---|---|
| storage | n/a | vector |
| retrieval | injection | similarity |
| persistence | session | long-term |
| update | read-only | extraction |
| unit | policy | fact |
| governance | auditable | auditable |
| conflict | n/a | llm-arbitrate |
Pros & cons
Enkrypt AI
Pros: Comprehensive AI security product covering training data, model, and runtime — broader than memory but addresses memory-specific threats too.
Cons: Memory is one of many concerns; less depth on memory-injection attacks than Lakera.
Mem0 Security / OpenMemory
Pros: Native privacy / governance hooks inside Mem0 — encryption, masking, retention policies as first-class config rather than bolt-ons.
Cons: Mem0-only; OpenMemory protocol is still emerging and lacks broad ecosystem support.