Remembra

Name: Remembra
Author: remembra-ai

Verified

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.

by remembra-ai 6 MIT HTML Intermediate stdio

View on GitHub Install Guide

Install

No auto-install command available for this server.

Check the GitHub repository for setup instructions

Safety Report

100% Verified

Scanned yesterday

7 passed

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 2 days ago

Pass

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?

Yes, Remembra has passed our 8-point security audit and is rated Verified. All checks including authentication, dependency audit, and known CVE scan passed.

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.