LLM-Agents-Ecosystem-Handbook — MCP Server by oxbshw

by oxbshw · MCP Server · ★ 516

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

About LLM-Agents-Ecosystem-Handbook

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

aiai-agentai-agentsfine-tuningfinetuning-llmsfreameworkllmllmopslocal-developmentmcp-server

Quick Facts

Stars516
Forks80
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score52.588/100
Last Updated2026-05-09
Created2025-09-08
Platformsmcp, python
Est. Tokens~138k

Compatible Skills

These tools work well together with LLM-Agents-Ecosystem-Handbook for enhanced workflows:

  • log10 — semantic(0.20)+complementary+rare_topics+same_lang+similar_pop+shared_platform (61%)
  • synkro — semantic(0.24)+complementary+rare_topics+same_lang+similar_pop+shared_platform (58%)
  • LLM-Finetuning-Toolkit — semantic(0.23)+complementary+rare_topics+same_lang+similar_pop+shared_platform (58%)
  • MetaClaw — semantic(0.18)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • awesome-azure-openai-llm — semantic(0.17)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)

LLM-Agents-Ecosystem-Handbook alternative? Top 6 similar tools

Looking for a LLM-Agents-Ecosystem-Handbook alternative? If you're comparing LLM-Agents-Ecosystem-Handbook with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • sre by SmythOS · ⭐ 1.2k

    The SmythOS Runtime Environment (SRE) is an open-source, cloud-native runtime for agentic AI. Secure, modular,

  • MakeMoneyWithAI by garylab · ⭐ 488

    A list of open-source AI projects you can use to generate income easily.

  • lucid-memory by JasonDocton · ⭐ 128

    Memory for AI that works like yours—local, instant, persistent. 13x faster than Pinecone, 5x leaner than RAG.

  • agentic-context-engine by kayba-ai · ⭐ 2.4k

    🧠 Make your agents learn from experience. Now available as a hosted solution at kayba.ai

  • code-graph-rag by vitali87 · ⭐ 2.3k

    The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI

  • mcp-memory-service by doobidoo · ⭐ 1.9k

    Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowl

More MCP Server Tools

Explore other popular mcp server tools:

View all MCP Server tools →

Popular Python Agent Tools

Frequently Asked Questions

What is LLM-Agents-Ecosystem-Handbook?

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 516 GitHub stars.

What programming language is LLM-Agents-Ecosystem-Handbook written in?

LLM-Agents-Ecosystem-Handbook is primarily written in Python. It covers topics such as ai, ai-agent, ai-agents.

How do I install or use LLM-Agents-Ecosystem-Handbook?

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 516 stars and 80 forks, indicating an active community.

What license does LLM-Agents-Ecosystem-Handbook use?

LLM-Agents-Ecosystem-Handbook is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to LLM-Agents-Ecosystem-Handbook?

The top alternatives to LLM-Agents-Ecosystem-Handbook on Agent Skills Hub include sre, MakeMoneyWithAI, lucid-memory. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

View on GitHub → Browse MCP Server tools