oxbshw / LLM-Agents-Ecosystem-Handbook
One-stop handbook for building, deploying, and understanding LLM agents with 60+ skeletons, tutorials, ecosystem guides, and evaluation tools.
Why this job: says: handbook
What it does
A curated, opinionated, production-oriented handbook in seven parts:
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 4 months ago
- Stars
- 558
- +1 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 99% of the code
Is it looked after?
- Contributors
- 0
- Last 90 days
- Issues
- 0% closed
- 2 still open
- Pull requests
- 3 merged
- 3 waiting
- Releases
- None
- Never published
More: languages, topics and project record
Languages
- Python 99%
- Jupyter Notebook 1%
Topics
- ai
- ai-agent
- ai-agents
- fine-tuning
- finetuning-llms
- freamework
- llm
- llmops
- local-development
- mcp-server
- memory
- rag
Project record
- JobLists and guides
- StatusListed
- Commits15
- Forks94
- Watching9
- Stars in 28 days+4
- CreatedSep 8, 2025
- First seen by usNov 7, 2026
- CheckedNov 7, 2026