llm

A swarm of autonomous AI minds, unified and steered by a single consciousness - the Veil. Runs on any language model.

AI-assisted media curator for large image/video datasets. Streamlined captioning, cropping, masking for LoRA/diffusion training workflows.

LLM Reasoning and Generation Benchmark. Evaluate LLMs in complex scenarios systematically.

Minimal typescript agent framework that keeps it simple and gives you control - no BS

VectorRAG.Net is a .NET-native high-performance vector database library for semantic search and RAG (Retrieval-Augmented Generation). Core search is based on Random Hyperplane LSH candidate generation with exact rerank by dot/cosine.

WebLINX is a benchmark for building web navigation agents with conversational capabilities

This repo is a live list of papers on game playing and large multimodality model - "A Survey on Game Playing Agents and Large Models: Methods, Applications, and Challenges".

一款免费APaaS零代码平台结合AI应用平台，帮助企业快速搭建个性化业务应用！用户无需任何代码，即可搭建出符合业务需求的个性化应用。敲敲云拥有完善的应用搭建能力、表单引擎、流程引擎、仪表盘引擎，可满足企业的日常需求

M-Courtyard: Local AI Model Fine-tuning Assistant for Apple Silicon. Zero-code, zero-cloud, privacy-first desktop app powered by Tauri + React + mlx-lm.

本项目通过大模型联动爬虫，检索Github上所有存有有价值漏洞信息与漏洞POC或规则信息的项目，并自动识别项目的目录结构、Readme信息后进行总结分析并分类，所汇总的项目可以帮助安全行业从业者收集漏洞信息、POC信息、规则等。

Extract structured data from CUAD contracts using LangChain, build a knowledge graph, and query insights through a LangGraph agent - transforming legal agreements into actionable intelligence.

Self-hosted framework for orchestrating fleets of specialist AI agents — ensemble reasoning and a full agentic coding pipeline, model-agnostic and local-friendly.

Architecture-first skill lifecycle for AI agents. BinEval binary scoring with threshold-blind, cross-family-calibrated judges, gated self-update loop, pressure testing, 10 authoring principles grounded in empirical research.

A curated collection of AI learning materials

This RAG (Retrieval-Augmented Generation) project is implemented using pure Java. This approach makes it easier to adapt to enterprise-level environments and is more conducive to secondary development.

Lightweight, standalone, multi-platform, and privacy focused local LLM chat interface with optional encryption

WhatsApp auto responder with LLM integration. It support OpenAI API and also local LLMs

🐦 A open blazing-fast simple model gateway for rapid development of production GenAI apps

Shared Memory Storage for Multi-Agent Systems

A general AI agent framework that can be adapted to various tasks and environments.