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agenticloops-ai / agentic-ai-engineering

Hands-on tutorials for building AI agents from scratch. Learn LLM APIs, prompt engineering, tool calling, and the agent loop through practical examples.

Why this job: says: tutorials for; topics: from scratch

The agentic loop: a prompt joins the system prompt and tool schemas in the context, the LLM reasons, executes tools, results append back to the context, and the loop repeats until it can answer

What it does

This is the repo for engineers who want to understand what's behind popular agents like Claude Code, Claude Cowork, Codex, and GitHub Copilot — and how to build one yourself.

Get started

No single install command. Read the steps in the README (opens in new tab)

Maintenance
Active
Last commit 5 days ago
Stars
386
On GitHub
Licence
MIT
Allows business use
Downloads for
None listed
No release files
Latest version
v2026.04.07
Released 7 months ago
Built with
Python
100% of the code

Is it looked after?

Contributors
2
Last 90 days
Issues
80% closed
1 still open
Pull requests
42 merged
6 waiting
Releases
2
2 in the last year
  • No contributing guide
  • No security policy
  • No code of conduct

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More: languages, topics and project record

Languages

  • Python 100%
  • Makefile <1%

Topics

  • agentic
  • agentic-ai
  • agentic-loop
  • agentic-patterns
  • agentic-rag
  • agentic-workflow
  • ai-agent-frameworks
  • ai-agent-tools
  • ai-agents
  • anthropic
  • claude
  • context-engineering

Project record

  • JobLists and guides
  • StatusNew to our list
  • Commits143
  • Forks79
  • Watching6
  • CreatedJan 25, 2026
  • First seen by usNov 7, 2026
  • CheckedNov 9, 2026

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