{"repo":"oxbshw/LLM-Agents-Ecosystem-Handbook","free":true,"listed":false,"github":"https://github.com/oxbshw/LLM-Agents-Ecosystem-Handbook","clone":"git clone https://github.com/oxbshw/LLM-Agents-Ecosystem-Handbook.git","description":"One-stop handbook for building, deploying, and understanding LLM agents with 60+ skeletons, tutorials, ecosystem guides, and evaluation tools.","language":"Python","stars":539,"topics":["ai","ai-agent","ai-agents","fine-tuning","finetuning-llms","freamework","llm","llmops","local-development","mcp-server"],"license":"MIT","category":"ai-agents","readme_excerpt":"LLM Agents Ecosystem Handbook A practical operating manual for building, evaluating, securing, and shipping modern LLM agent systems. --- Modern agents are not \"a prompt + a tool.\" They are systems — with identity, memory, skills, tools, MCP integrations, guardrails, observability, evals, and a provider strategy. This handbook teaches the whole stack and ships templates, blueprints, runnable adapters, and curated examples you can adopt today. What's in this repo A curated, opinionated, production-oriented handbook in seven parts: 1. Concepts — Agent OS, identity, memory, skills, MCP, safety, observability — every layer of the modern agent stack 2. Provider ecosystem — adapters + docs for 24+ LLM providers (frontier APIs, fast inference, marketplaces, enterprise clouds, specialty, local runtimes), with a router for fallback chains 3. Skills ecosystem — design guide, taxonomy, maturity model, security checklist, and a curated skill catalog 4. Prompt engineering — agent prompt patterns, instruction hierarchy, context engineering, prompt-injection defense 5. Coding-agent workflows — for Claude Code, Cursor, Codex, Aider, Cline, and custom runtimes — repo instructions, prompts, review checklist, safe refactoring 6. Design docs — agent / technical design docs, ADR guide, design reviews, rollout plans, the DESIGN.md machine-readable spec 7. Curated catalog — 100+ existing agent skeletons, framework comparisons, evaluation tools, tutorials — preserved and improved Who this is for You","default_branch":null,"files":null,"tree":[],"storefront":"/r/oxbshw","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/oxbshw/LLM-Agents-Ecosystem-Handbook/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}