memory-compare

Compares AI memory frameworks using live web research and project context.

Updated May 16, 2026
One-click install
npx skills add https://github.com/RohanRaoCs/memory-architect --skill memory-compare-rohanraocs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: memory-compare
Source: https://github.com/RohanRaoCs/memory-architect/tree/main/skills/memory-compare
Command: npx skills add https://github.com/RohanRaoCs/memory-architect --skill memory-compare-rohanraocs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Choosing between AI memory frameworks like Mem0, Zep, or LangMem is hard because benchmarks, pricing, and features change constantly, and generic comparisons ignore your project's actual constraints. This Skill researches each framework live and produces a grounded, cited comparison tailored to your codebase. ## Core Features & Use Cases - Live Framework Research: Searches the web for current versions, pricing, benchmark scores (LongMemEval, LoCoMo), latency, and GitHub activity for each named framework. - Project-Aware Analysis: Reads your codebase, package manifests, and existing architecture docs to infer the use case and factor in migration cost. - Structured Comparison Report: Writes a dated Markdown file with a comparison table, per-framework deep dives, a verdict with runner-up scenario, migration effort estimate, and cited sources. - Use Case: You are building a support bot and cannot decide between Mem0 and Zep. Run the comparison to get a recommendation based on current pricing, recall benchmarks, and your existing Postgres infrastructure. ## Quick Start Type /memory-compare mem0 zep in your AI assistant to generate a cited head-to-head comparison of those frameworks for your project.

Frequently Asked Questions about memory-compare

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I compare AI memory frameworks like Mem0 and Zep?

Invoke /memory-compare followed by the framework names, such as /memory-compare mem0 zep. The assistant researches each framework live, reads your project for context, and writes a comparison file with a verdict and cited sources.

What AI memory frameworks can be compared with this workflow?

Any named frameworks can be compared, including Mem0, Zep, LangMem, Letta, and vector stores like pgvector, Pinecone, or Qdrant. At least two framework names must be provided, or the assistant will ask which ones to compare.

Does the memory framework comparison use current benchmark data?

Yes, the workflow searches the web for current-year release notes, pricing pages, LongMemEval and LoCoMo benchmark scores, and GitHub activity. Every benchmark score, price, and version number is recorded in a cited sources table with URLs and dates.

Can I compare memory frameworks without specifying a use case?

Yes, if the use-case argument is omitted, the assistant infers it from your project by reading the README, package manifests, source files, and any existing memory architecture document. It states its inference before proceeding with the comparison.

What output formats does the memory comparison support?

The comparison report is written as a Markdown file by default, with optional format=table or format=json arguments. The file includes a comparison table, per-framework deep dives, a verdict, migration effort estimate, and cited sources.