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AI & Memory MCP Server

Remembra

Persistent memory layer for AI agents with entity resolution, PII detection, AES-256-GCM encryption at rest, and hybrid search. 100% on LoCoMo benchmark. Self-hosted.

Scan found nothing by remembra-ai6MITHTMLIntermediatestdio
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Install

No auto-install command available for this server.

Check the GitHub repository for setup instructions

Safety Report

86% Scan found nothing
Scanned 5 months ago
6 passed 1 warnings
Security
Authentication
details

Authentication detected: env_api_key_py, env_required, bearer_check, auth_header, auth_middleware, connection_string

Pass
CORS Policy
details

stdio transport — CORS not applicable

N/A
Rate Limiting
details

Rate limiting detected: rate_limit_middleware, throttle, requests_per

Pass
Known CVEs
details

No known CVEs in dependencies

Pass
Code Quality
Dependency Audit
details

No known vulnerable dependencies detected

Pass
Dangerous Patterns
details

No dangerous code patterns detected

Pass
License
details

License: MIT

Pass
Community
Maintenance Status
details

Last commit 5 months ago

Warning

Learn about our security methodology →

Frequently Asked Questions

What is Remembra?

Persistent memory layer for AI agents with entity resolution, PII detection, AES-256-GCM encryption at rest, and hybrid search. 100% on LoCoMo benchmark. Self-hosted.

Is Remembra safe to use?

We cannot tell you that, and nobody scanning at this scale can. What we did in March 2026 was shallow-clone Remembra and run five keyword searches over its source: auth identifiers, CORS configuration, rate-limit identifiers, the dependency manifest against a hardcoded list of 18 known-vulnerable packages, and unguarded eval/exec calls. None of them matched. A text search cannot follow a variable, judge intent, or tell you what a server does once it is running, so "nothing matched" is not "safe". What the scan does and does not cover is written out at /mcp/security.

What are alternatives to Remembra?

Similar MCP servers include Context7, Cognee, Hindsight. Each serves a similar purpose but may differ in features, language, and compatibility.

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