Skip to main content
Angestrom home
SearchPapersModelsLive AIIntelligence
Search⌕⌘K
EnterprisePricingSign in

Stay Ahead in the AI Revolution

Weekly digest — EPI pulse, top intelligence, fresh lineage. Free, no account.

Follow Angestrom
Global source network
Synced every 5 minutes

Continuous sync from primary AI sources — indexed, enriched, and queryable in real time.

arXivHugging FaceGitHubOpenAIAnthropicDeepMindReutersBBC TechHacker NewsReddit MLVerified feedsFunding
Angestrom

Angestrom connects every piece of the AI ecosystem — data, models, research, companies, tools, and people.

info@angestrom.comwww.angestrom.comLucknow, Uttar Pradesh, India

Product

  • AI Search
  • AI Models
  • Research Papers
  • Companies
  • News & Events
  • GitHub Explorer
  • APIs & Tools
  • Datasets
  • Benchmarks
  • Model lifecycle
  • Funding graph
  • Contributors
  • AI Agents

Resources

  • Weekly digest
  • Documentation
  • Tutorials
  • Guides
  • News
  • Help / Start
  • Community

Company

  • About
  • Contact
  • Privacy Policy
  • Terms of Service
  • Acceptable Use

Enterprise

  • Pricing
  • Workspace
  • Contact Sales

Developer

  • Developer Hub
  • API docs
  • GitHub

Learn

  • Learning Academy
  • Roadmaps
  • Glossary
  • AI for Beginners

Popular Topics

Loading topics…
View All Topics →
© 2026 Angestrom. All rights reserved.
English
Theme
Angestrom home
SearchPapersModelsLive AIIntelligence
Search⌕⌘K
EnterprisePricingSign in
  1. Home
  2. /Repositories
  3. /romanyn36/agentic-ai-roadmap
Read original ↗
repoGitHubTrust 82 · PrimaryPublished 12d agoLive · 11d ago

romanyn36/agentic-ai-roadmap

A comprehensive AI learning roadmap covering Python fundamentals, mathematics, machine learning, deep learning, LLMs, and agentic systems — focused on hands-on projects, practical tools, and real-world deployment.

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Why these links exist

Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.

  • PossiblePossibly related (embedding) · 66%A field guide to AI agents in 2026 →
  • PossiblePossibly related (embedding) · 64%Agentic AI for Robot Teams →
  • PossiblePossibly related (embedding) · 54%Bored with Python, should I learn C++? [D] →
  • PossiblePossibly related (embedding) · 55%[R] Autonomous Mathematical Discovery in an Open-World Multi-Agent Environment →

Related to

articleA field guide to AI agents in 2026

Covers

newsAgentic AI for Robot Teams

Covers (incoming)

newsBored with Python, should I learn C++? [D]news[R] Autonomous Mathematical Discovery in an Open-World Multi-Agent Environment

Related across the graph

news[R] Autonomous Mathematical Discovery in an Open-World Multi-Agent EnvironmentnewsAgentic AI for Robot TeamsarticleA field guide to AI agents in 2026newsBored with Python, should I learn C++? [D]
Knowledge path·N[R] Autonomous Mathematical Discovery in an Open-World Multi-Agent Environment→NAgentic AI for Robot Teams→AA field guide to AI agents in 2026→Rromanyn36/agentic-ai-roadmap

Topics

agenticagentic-ai-roadmapaiai-roadmapdeep-learninglangchainlanggraphlearllmmachine-learning

Explore

Search similar →Knowledge graph →All repos →Full intelligence feed →
Graph trust82Primary
Graph score131