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agentic-ai MCP Server

mahmoudrabie/agentic-ai

Score: 54.6 Rank #10879 Agent Framework
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Agentic AI research papers, benchmarks, frameworks, and tools curated across 24 domains.

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Overview

mahmoudrabie/agentic-ai is a tool licensed under MIT. Agentic AI research papers, benchmarks, frameworks, and tools curated across 24 domains. Topics: agentic-ai, ai-agents, ai-benchmarks, ai-evaluation, ai-research, ai-safety, ai-security, automation, autonomous-agents, foundation-models, llm, llm-agents, mcp, model-context-protocol, multi-agent-systems, planning, rag, reasoning, software-engineering, awesome-list.

Ranked #10879 out of 24846 indexed tools.

Ecosystem

MIT
agentic-aiai-agentsai-benchmarksai-evaluationai-researchai-safetyai-securityautomationautonomous-agentsfoundation-modelsllmllm-agentsmcpmodel-context-protocolmulti-agent-systemsplanningragreasoningsoftware-engineeringawesome-list

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 160

160 stars → growing community

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 0%

0/2 issues closed → many open issues

Contributors 10% 2

2 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 5
Description Good
License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

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Freshness high impact

Last commit was 38 days ago — a recent commit would boost your freshness score

Issue Health high impact

You have 2 open vs 0 closed issues — triaging stale issues improves health

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Matched Queries

topic:mcptopic:model-context-protocol

From the README

# Agentic AI Research Radar

<div align="center">

**300+ curated agentic AI papers, benchmarks, frameworks, and real-world systems across 24 domains.**

[Start with Frameworks](README-framework.md) | [Explore Security](README-security.md) | [Browse Research](README-research.md) | [Contribute a Resource](CONTRIBUTING.md)

</div>

## Why This Repo

Agentic AI moves fast, and useful work is scattered across papers, code repositories, benchmark releases, technical posts, and domain-specific case studies. This repo tracks high-signal work in one place so builders and researchers can quickly find:

- frameworks and orchestration patterns for building agents
- evaluation, testing, and benchmark resources
- security, safety, and governance research
- domain applications in healthcare, Physical AI/robotics, software engineering, IoT, education, and more

If this saves you research time, starring the repo helps more builders discover it.

## Suggested Paths

| Path | Follow these domains |
| --
Read full README on GitHub →

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