One-stop handbook for building, deploying, and understanding LLM agents with 60+ skeletons, tutorials, ecosystem guides, and evaluation tools.
Build and evaluate AI systems that can understand and remember information, using ready-made templates and guides.
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Free · no card · unsubscribe anytimeOne-stop handbook for building, deploying, and understanding LLM agents with 60+ skeletons, tutorials, ecosystem guides, and evaluation tools.
LLM-Agents-Ecosystem-Handbook has 542 stars on GitHub. It has been forked 86 times. LLM-Agents-Ecosystem-Handbook is written mainly in Python. It has been in active development since 2025. LLM-Agents-Ecosystem-Handbook is available under the MIT license. Its main topics are ai, ai-agent, ai-agents, fine-tuning.
One-stop handbook for building, deploying, and understanding LLM agents with 60+ skeletons, tutorials, ecosystem guides, and evaluation tools.
LLM-Agents-Ecosystem-Handbook is an open-source project. It is released under the MIT license.
Yes. LLM-Agents-Ecosystem-Handbook is free and open source — you can use, modify and self-host it.
LLM-Agents-Ecosystem-Handbook is available under the MIT license.
LLM-Agents-Ecosystem-Handbook is written mainly in Python.
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