by oxbshw · MCP Server · ★ 510
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
LLM Agents & Ecosystem Handbook A unified handbook for building, deploying and understanding LLM agents and the wider ecosystem A polished, curated collection of Large Language Model (LLM) agents, tutorials and ecosystem insights. This handbook highlights projects that push
| Stars | 510 |
| Forks | 78 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 52.588/100 |
| Last Updated | 2026-04-11 |
| Created | 2025-09-08 |
| Platforms | mcp, python |
| Est. Tokens | ~121k |
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LLM-Agents-Ecosystem-Handbook is One-stop handbook for building, deploying, and understanding LLM agents with 60+ skeletons, tutorials, ecosystem guides, and evaluation tools.. It is categorized as a MCP Server with 510 GitHub stars.
LLM-Agents-Ecosystem-Handbook is primarily written in Python. It covers topics such as ai, ai-agent, ai-agents.
You can find installation instructions and usage details in the LLM-Agents-Ecosystem-Handbook GitHub repository at github.com/oxbshw/LLM-Agents-Ecosystem-Handbook. The project has 510 stars and 78 forks, indicating an active community.
LLM-Agents-Ecosystem-Handbook is released under the MIT license, making it free to use and modify according to the license terms.
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