LLM GitHub Repositories

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

The agent that grows with you

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Get up and running with Kimi-K2.6, GLM-5.2, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.

The context API to search, scrape, and interact with the web at scale. 🔥

f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.

User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

The agent engineering platform.

🌐 Make websites accessible for AI agents. Automate tasks online with ease.

Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.

利用 AI 大模型和自动化工作流，根据主题或关键词一键生成高清短视频。Generate HD short videos from a topic or keyword with an automated AI workflow.

Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman

TradingAgents: Multi-Agents LLM Financial Trading Framework

A high-throughput and memory-efficient inference and serving engine for LLMs

🙌 OpenHands: AI-Driven Development

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.

CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies

Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程

Local UI to run and train LLMs and diffusion models, including Qwen3.8, Kimi K3, MiniMax-H3, Gemma 4, DeepSeek-V4, FLUX and more.

🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.

Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience

Universal memory layer for AI Agents