About Awesome AI Engineering
Awesome AI Engineering is an MCP server in the RAG category: 🚀 A curated collection of AI engineering resources, roadmaps, tools, and projects covering LLMs, RAG, AI Agents, MCP, fine-tuning, evaluations, and production AI systems.
The repository has 17 stars and 7 forks.
Install
git clone https://github.com/Eric-LLMs/awesome-ai-engineeringThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
Tools (10)
**[AgentOps](https://github.com/AgentOps-AI/agentops)**Agent DevOps & Monitoring
Parameters not published.
**[Arize Phoenix](https://github.com/Arize-ai/phoenix)**Observability & Eval
Parameters not published.
**[Braintrust](https://github.com/braintrustdata/braintrust-sdk)**Evaluation Platform
Parameters not published.
**[DeepEval](https://github.com/confident-ai/deepeval)**Unit Testing
Parameters not published.
**[LangFuse](https://langfuse.com/)**Observability
Parameters not published.
**[LangSmith](https://smith.langchain.com/)**Tracing & Debugging
Parameters not published.
**[OpenAI Evals](https://github.com/openai/evals)**Evaluation Framework
Parameters not published.
**[OpenEvals](https://github.com/langchain-ai/openevals)**Graders
Parameters not published.
**[Promptfoo](https://github.com/promptfoo/promptfoo)**Red Teaming & Regression
Parameters not published.
**[W&B Weave](https://github.com/wandb/weave)**Tracing & Eval
Parameters not published.
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