Every card below was actually executed by the lab — under-the-radar repos that installed clean and did what they claim, verified in the sandbox, not guessed from the README. From 1,581 repos tested so far.
LLM-Adapters
LLM-Adapters is a framework for Parameter-Efficient Fine-Tuning (PEFT) that integrates multiple adapter types (LoRA, AdapterH, AdapterP, Prefix Tuning, etc.) into Large L.
Insight LLM-Adapters is a framework for Parameter-Efficient Fine-Tuning (PEFT) that integrates multiple adapter types (LoRA, AdapterH, AdapterP, Prefix Tuning, etc.) into Large Language Models.
github.com/AGI-Edgerunners/LLM-Adapters ↗
XMem
XMem is a multi-modal, multi-agentic long-term memory layer that provides persistent context for AI agents and LLM interfaces.
Insight XMem is a multi-modal, multi-agentic long-term memory layer that provides persistent context for AI agents and LLM interfaces.
github.com/XortexAI/XMem ↗
QMedia
QMedia is an open-source AI content search engine designed for content creators to search and analyze multi-modal data including text, images, and short videos.
Insight Installed cleanly on the first try.
github.com/QmiAI/Qmedia ↗
OWASP Nettacker
OWASP Nettacker is an automated penetration testing and information-gathering framework written in Python.
Insight The demo actually ran and produced real output.
github.com/OWASP/Nettacker ↗
RHA-RAG (Reasoning-Heavy Agentic RAG)
RHA-RAG is an agentic Retrieval-Augmented Generation (RAG) system that forces LLMs to build explicit, verifiable proof chains instead of just retrieving and summarizing t.
Insight The project has a complete structure, including a Docker configuration, LangGraph orchestration, and web UI.
github.com/YufSunny/RHA-RAG ↗
Code-First Agents Tool
A TypeScript framework for building deterministic CLI tools that LLM agents can interact with using structured Zod schemas.
Insight Installed cleanly on the first try.
github.com/beogip/code-first-agents-tool ↗