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Your Cheat Sheet for AI Engineering Interview – Questions and Answers.
One-stop handbook for building, deploying, and understanding LLM agents with 60+ skeletons, tutorials, ecosystem guides, and evaluation tools.
$ git clone https://github.com/oxbshw/LLM-Agents-Ecosystem-Handbook.gitYour Cheat Sheet for AI Engineering Interview – Questions and Answers.
Source-available agent platform for Global × China enterprises — wire every system through one agent core. Self-hosted, any LLM.
Enables organizations to create and deploy customizable AI agents with support for multiple LLM providers, real-time chat, voice, document training, analytics, user management, SSO authentication, and embeddable widgets. Built with React 19, Redux Toolkit, Radix UI, and Tailwind CSS.
Distill your knowledge, memories, and decisions into an open-source, inspectable AI Agent Twin.
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Local-first persistent agentic memory powered by Recursive Memory Harness (RMH). Open source must win.
Orchestration engine for long-running, tool-using AI agents
Data from GitHub · snapshot Nov 13, 2026