This is the broadest group: chat interfaces, SDKs and frameworks, prompt and evaluation tools, and applications built on large language models. Many work with models from several providers, and some can run models on your own hardware.
For anything you plan to ship, check three facts first: the licence, because some popular projects restrict commercial use; whether it supports the model provider you already use; and whether it is still maintained. The At a glance box on every project page answers the licence and maintenance questions from GitHub data.
7.4 billion tokens per month. 34 free LLM providers. 635 free model endpoints. All behind one /v1 endpoint, plus any custom OpenAI-compatible endpoint. Smart routing, automatic failover, encrypted keys. Personal experimentation only.
Distribute and run LLMs with a single file.
Agent2Agent (A2A) is an open protocol enabling communication and interoperability between opaque agentic applications.
🎒 Token-Oriented Object Notation (TOON) – compact, human-readable serialization of JSON data for LLM prompts. TypeScript SDK, CLI, benchmarks.
Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, DeepSeek, and more. Simple declarative configs with command line and CI/CD integration. Used by OpenAI and Anthropic.
本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）
Platform for stateful agents: AI with advanced memory that can learn and self-improve over time.
Your Essential Exam Companion for the Iamneo Portal & NPTEL Exams Disguised as NeoExamShield bypass
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
PentAGI runs fully autonomous AI agents for complex penetration testing, self-hosted and configurable with OpenAI, Anthropic, Ollama, and other LLM providers.
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
The SDK For Browser Agents. Most existing browser automation tools either require you to write low-level code in a framework like Selenium, Playwright, or Puppeteer, or use high-level agents that can be unpredictable in production.
Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
✅（已完结）超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】
Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.
Universal LLM Deployment Engine with ML Compilation
Context window optimization for AI coding agents. Sandboxes tool output (98% reduction), persists session memory, and enforces routing across 17 platforms via MCP + hooks.
Automate browser based workflows with AI. Automate Browser-based workflows using LLMs and Computer Vision Skyvern automates browser-based workflows using LLMs and computer vision.
A MCP for Claude Desktop / Claude Code / Windsurf / Cursor to build n8n workflows for you
MaxKB is an open-source platform for building enterprise-grade agents. .
OpenUI let's you describe UI using your imagination, then see it rendered live.
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
A privacy-first app that strips AI watermarks from content you own.