Skill comparison

Compare agent skills before installing.

Put high-signal skills side by side and inspect quality, adoption, freshness, install readiness, use-case fit, and warnings in one place.

Comparing 4 skills

Use this as a shortlist, then open the skill detail page before adopting.

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Decision summary

Claude Mem is the strongest overall pick here because it has a 100/100 readiness score and fits Coding agents.

Strongest overall

Claude Mem

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Fastest prototype

Claude Mem

Best first install candidate based on install readiness and adoption.

Freshest repo

CrewAI

Most recent maintenance signal among this shortlist.

SignalMemgraph

High-performance open-source in-memory graph database for GraphRAG, AI memory, agentic AI, and real-time graph analytics. Cypher-compatible, built in C++.

Claude Mem

Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More

Ragflow

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

CrewAI

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

Quality
97/100
Excellent
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
100/100
Production-ready

Use this as a leading candidate, then validate the README and install path in your own agent stack.

100/100
Production-ready

Use this as a leading candidate, then validate the README and install path in your own agent stack.

100/100
Production-ready

Use this as a leading candidate, then validate the README and install path in your own agent stack.

100/100
Production-ready

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Adoption4.3K stars
Verified outcomes are shown on each skill page
84K stars
Verified outcomes are shown on each skill page
83K stars
Verified outcomes are shown on each skill page
56K stars
Verified outcomes are shown on each skill page
FreshnessJul 18, 2026Jun 24, 2026Jun 13, 2026Jul 18, 2026
Use-case fit
Workflow fit
Platform hintsC++, AI Agents, Claude CodeJavaScript, AI Agents, Claude Code, OpenAI AgentsPython, AI Agents, Claude CodePython, AI Agents, Claude Code
WarningsNo major risk signals from current metadataNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forBrowser automation workflows · Claude Code teams · teams that value GitHub adoption signalsCoding agents workflows · Claude Code teams · teams that value GitHub adoption signalsRAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signalsCoding agents workflows · Claude Code teams · teams that value GitHub adoption signals
Not ideal forteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security review
OpenAgentSkill engagement11 views
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Install
$ npx skills add memgraph/memgraph
$ npx skills add thedotmack/claude-mem
$ npx skills add infiniflow/ragflow
$ npx skills add crewAIInc/crewAI