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memorix

Skill Development Solid

Open-source cross-agent memory layer for coding agents via MCP. Compatible with Cursor, Claude Code, Codex, Windsurf, Gemini CLI, GitHub Copilot, Kiro, OpenCode, Antigravity, and Trae.

399 starsApache-2.0 (commercial OK)FreeQuick setup

Coding agents lose context between sessions, forcing developers to re-explain problems. Memorix persists agent memory across tools and conversations, reducing repetitive setup and improving consistency in multi-agent workflows.

Teams using multiple coding agents (Cursor, Copilot, Windsurf) who need shared context and institutional memory across editing sessions.

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https://github.com/AVIDS2/memorix

By AVIDS2

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install AVIDS2/memorix

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

CostFree

Trust Signals Auto-scanned

Stars399Contributors4Last updated2026-04-23LicenseApache-2.0 (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-04-25 · scanner v1

Community Pulse Active

Discussed on Hacker News, Reddit

21 mentions across 2 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 399 GitHub stars; 4 contributors; last commit 27d ago; license Apache-2.0.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
4/5
Reliability
4/5
Security
3/5
Overall score3.50 / 5.00 SolidEvaluatedMay 2026
Scored from trust signals (evidence-eval-v1): 399 GitHub stars; 4 contributors; last commit 27d ago; license Apache-2.0.

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