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The Agentic-AI-Learning-Roadmap MCP server was last committed 1mo ago and has 0 contributors. Issue health: 50% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

Agentic-AI-Learning-Roadmap MCP Server

Name: bipinhcs11/Agentic-AI-Learning-Roadmap
Rating: 3.1 (1 reviews)
Author: bipinhcs11

bipinhcs11/Agentic-AI-Learning-Roadmap

Score: 51.8 Rank #15789 Agent Framework

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Local-first hands-on roadmap for learning Agentic AI, RAG, MCP, multi-agent systems, and production AI apps.

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Overview

bipinhcs11/Agentic-AI-Learning-Roadmap is a Python tool licensed under MIT. Local-first hands-on roadmap for learning Agentic AI, RAG, MCP, multi-agent systems, and production AI apps.

Ranked #15789 out of 24846 indexed tools.

Ecosystem

Python MIT

Score Breakdown

Stars 15% 2

2 stars → early stage

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 0

0 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 0

Description Good

License MIT

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

How to Improve

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Freshness high impact

Last commit was 42 days ago — a recent commit would boost your freshness score

Contributors medium impact

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Markdown

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HTML

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HTML

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Details

Stars: 2
Forks: 0
Open Issues: 0
Closed Issues: 0
Contributors: 0
Dependents: —
Language: Python
License: MIT
Last Commit: 1mo ago

Matched Queries

topic:mcp

See alternatives to bipinhcs11/Agentic-AI-Learning-Roadmap → Browse agent-framework category → Best Agent Framework MCP servers → Compare bipinhcs11/Agentic-AI-Learning-Roadmap → A2A vs MCP: Agent Protocol Comparison →What is MCP? Model Context Protocol Explained →

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