awesome-agent-cortex MCP Server
0xNyk/awesome-agent-cortex
[](https://agentrank-ai.com/tool/0xNyk--awesome-agent-cortex/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Curated map of AI agent frameworks, protocols, runtimes, skills, memory, identity, security, evaluation, and commerce.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
0xNyk/awesome-agent-cortex is a JavaScript tool licensed under CC0-1.0. Curated map of AI agent frameworks, protocols, runtimes, skills, memory, identity, security, evaluation, and commerce. Topics: agent-memory, agent-security, agentic-ai, ai-agents, awesome-list, knowledge-graphs, mcp, solana, awesome.
Ranked #6904 out of 24846 indexed tools.
Has 16 contributors.
Ecosystem
Score Breakdown
224 stars → growing community
Last commit 1mo ago → moderate activity
5/65 issues closed → many open issues
16 contributors → active community
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
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[](https://agentrank-ai.com/tool/0xNyk--awesome-agent-cortex/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) <a href="https://agentrank-ai.com/tool/0xNyk--awesome-agent-cortex/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/v1/badge/0xNyk--awesome-agent-cortex" alt="AgentRank"></a> Matched Queries
From the README
# Awesome Agent Cortex <p align="center"> </p> <p align="center"> <strong>A curated map of the tools, memory systems, identity rails, and operational patterns behind capable AI agents.</strong> </p> <p align="center"> <a href="LICENSE"></a> <a href="https://github.com/0xNyk/awesome-agent-cortex/actions/workflows/docs-health.yml"></a> <a href="https://github.com/0xNyk/awesome-agent-cortex"></a> </p> --- Awesome Agent Cortex connects the layers that ordinary framework lists leave apart: agent runtimes, coding tools, MCP, evaluation, memory, knowledge graphs, on-chain identity, payments, security, and observability. Use it to find one component or to understand how the pieces fit into a complete agent system. Choose a route from the contents below: - **Build:** frameworks, coding agents, MCP, skills, and prompt systems. - **Operate:** runtimes, harnessing, evaluation, security, and observability. - **Remember:** context engineering, knowledge graphs, neural memory, andRead full README on GitHub →
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