Mem0 vs Polyant (2026)

Mem0

by Mem0 AI

Polyant

by Exelab

Pros

• ✓Mem0 runs as a managed platform or as Apache 2.0 open-source software, with Python and TypeScript SDKs, a CLI, a hosted MCP server and more than 20 supported vector databases.
• ✓On its managed platform Mem0 reports 92.5 on LoCoMo and 94.4 on LongMemEval for its April 2026 algorithm, using under 7,000 tokens per retrieval call.
• ✓Every plan, including the permanently free Hobby plan, allows unlimited end users, and the GitHub repository has 67k stars.

Limitations

• –Graph memory, Dream memory consolidation and analytics start at the $249/month Pro plan, Starter includes one project, and on-premise deployment, SSO and audit logs require Enterprise.
• –Content from Hobby plan users may be used to train Mem0's AI models, while Paid Plan data is excluded from training.
• –The Trust Center lists a SOC 2 Type 1 report and a HIPAA self-attestation, both available on request, rather than a SOC 2 Type II report.

Pros

• ✓The runtime, admin panel, long-term memory, channels and audit logging are open source under AGPLv3 on GitHub, with no license fee for self-hosting.
• ✓Every runtime decision is written to PostgreSQL tables in the customer's own database, where compliance teams can query it with a standard SQL client.
• ✓Agents run on-premises, in the customer's AWS, Azure or GCP account, or on Exelab infrastructure in an EU region, with the model provider chosen per agent.

Limitations

• –The ten runtime governance controls and the regulatory audit registry come with the Advanced and Ultra managed plans, not with the self-hosted build.
• –Managed plans and Exelab build services are priced per case, and model usage is billed separately by the chosen provider.
• –Email, HubSpot Conversations and phone-call channels need managed services, and enterprise SSO over SAML or OIDC is on the Ultra plan.