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Excaliflow 新增多画布标签页与自动保存功能，由 Gemini 4 Argon 在 Antigravity 中一次会话完成开发，并以 100% 开源形式发布于 awesome-llm-apps 仓库。
Shubham Saboo announces that the awesome-llm-apps repository — featuring 100+ open-source AI agents, agent skills, and RAG apps under Apache-2.0 — is now fully open-source, including an ExcaliFlow app built with Gemini 4 Argon in Antigravity.
A practitioner shares a 6-month roadmap to become an AI engineer from zero, covering software foundations, LLM app development, RAG, agents and evals, deployment/reliability, and specialization — emphasizing that companies hire people who build systems on top of models, not people who train them.
awesome-llm-apps is an open-source GitHub repository containing over 100 AI Agent and RAG applications, covering various AI scenarios such as PDF Q&A, online search, and multi-Agent collaboration. Developers can easily clone and run these applications, saving time from building from scratch.
A GitHub repository featuring over 100 open-source AI agent apps and skills with proper evaluations, compatible with multiple LLMs including Claude, Gemini, GPT, and open-source models.
A free, open-source collection of over 100 AI agents, agent skills, and RAG apps designed to make learning practical and fun, compatible with various AI models.
Shubham Saboo announced the open-source Awesome LLM Apps repository (117,000+ stars), a collection of 100+ ready-to-run AI agent and RAG templates that developers can clone, customize, and deploy.
A curated collection of over 100 ready-to-run AI agent and RAG app templates with full source code, supporting multiple LLMs like Claude, Gemini, and OpenAI. Open-source and freely available on GitHub.
Introduces DeepEval's @observe decorator for component-level tracing and evaluation of LLM apps, enabling granular insight into retrievers, tools, and models.
A curated collection of over 100 ready-to-run AI agent and RAG application templates, built by the Unwind AI team, for developers to clone and customize.