ai

Streamline your workflow with Lynkr, a CLI tool that acts as an HTTP proxy for efficient code interactions using Claude Code CLI.

PureChat 是一款全面的聊天应用程序，它将传统的即时消息与高级 AI 功能集成在一起。其模块化架构、可扩展的 AI 集成系统和灵活的配置选项使其成为强大的应用程序，也是 AI 增强通信应用程序的坚实基础。支持OpenAI，Ollama，DeepSeek等大语言模型，Markdown 渲染，聊天记录生成截图，主题切换，助力开发者快速掌握现代技术。

Python API client for AI providers that intends to replace LangChain and LangGraph for most common use cases.

An MCP server to query any Postgres database in natural language.

One-stop handbook for building, deploying, and understanding LLM agents with 60+ skeletons, tutorials, ecosystem guides, and evaluation tools.

AI-Native Next.js admin dashboard template and UI components that come with pre-built elements, components, pages, high-quality design, integrations, and much more.

⚡ High-performance job queue for Bun. SQLite persistence, DLQ, cron jobs, S3 backups. Built for AI agents and automation

🏗️ Fine-tune, build, and deploy open-source LLMs easily!

Multi-model DAG-driven parallel AI film generation — parallel speedup scales with scene independence; Generate film scenes simultaneously instead of one by one; "把影视生成的执行图从拓扑序变成关键路径最优调度" ; 唯一把场景叙事依赖建模为 DAG、以 CPM 算法驱动并行调度的影视生成引擎

CLI agent-readiness measurement, command-shape inference, and CI scorecards

🚀 Universal SDK for building next-gen MCP servers

Deprecated historical repo. Superlinked now develops SIE, a self-hosted inference engine for embeddings, reranking, OCR, extraction, and document processing.

im busy building ai agents so why not let an ai talk to my girlfriend? (i am single)

ClawLess — A serverless browser-based runtime for Claw AI Agents powered by WebContainers

An Open Source project with everything you need to learn about Rust.

claude code hooks - adding voice on each hook

Examples for Cerebrium Serverless GPUs

Hack Together: RAG Hack | Register, Learn, Hack

Kolo is a text-based Python debugger for AI agents. Capture every executed function call, return value, local variable, HTTP request, and more in greppable trace files.

Explore a comprehensive collection of resources, tutorials, papers, tools, and best practices for fine-tuning Large Language Models (LLMs). Perfect for ML practitioners and researchers!