{"id":"llm-agents-ecosystem-handbook","name":"LLM Agents Ecosystem Handbook","homepage":"https://github.com/oxbshw/LLM-Agents-Ecosystem-Handbook","repo_url":"https://github.com/oxbshw/LLM-Agents-Ecosystem-Handbook","category":"ai-ml","subcategories":["documentation","education","agent-frameworks"],"tags":["llm","agents","handbook","education","frameworks","langraph","autogen","crewai","rag","not-mcp-server"],"what_it_does":"A curated reference collection and educational handbook for building LLM agents. Includes framework comparisons (LangGraph, AutoGen, CrewAI, etc.), 60+ agent skeleton templates, RAG tutorials, evaluation framework summaries, and starter code. This is documentation and templates, NOT an MCP server.","use_cases":["Learning about LLM agent frameworks and selecting the right one","Bootstrapping new agent projects from 60+ skeleton templates","Understanding RAG patterns, memory implementations, and fine-tuning","Comparing evaluation frameworks like Promptfoo, DeepEval, and Langfuse"],"not_for":["Use as an MCP server - this is not one","Production-ready agent deployments (templates are starters, not production code)","Deep expertise in any single framework (breadth over depth)"],"best_when":"You are starting out with LLM agents and want a broad survey of the ecosystem with starter templates to accelerate prototyping.","avoid_when":"You need a working MCP server or production-ready agent code. This is purely educational material and templates.","alternatives":["LangChain documentation","OpenAI Cookbook","Anthropic cookbook","Awesome LLM Agents lists"],"af_score":29.0,"security_score":0.0,"reliability_score":null,"package_type":"mcp_server","discovery_source":["github"],"priority":"low","status":"evaluated","version_evaluated":"unknown","last_evaluated":"2026-03-01T09:50:05.800633+00:00","performance":{"latency_p50_ms":null,"latency_p99_ms":null,"uptime_sla_percent":null,"rate_limits":null,"data_source":"llm_estimated","measured_on":null}}