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large-language-models GitHub repositories

Explore 83 tracked GitHub repositories tagged large-language-models. Compare their recorded star activity and implementation languages, then follow related topics to find other projects.

Snapshot: 2026-10-28. The collection gained 1,001 stars since the previous daily snapshot.

Tracked repositories
83
Total stars
899,627
Stars gained · 7 days
+4,928
Stars gained · 30 days
+20,941

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Star activity for large-language-models repositories on this page
RepositoryTotal starsToday7 days30 days
agentscope-ai/agentscope34.4K+234+896+1,991
bojieli/ai-agent-book56.2K+226+1,079+4,884
FareedKhan-dev/train-llm-from-scratch12.6K+123+238+3,004
langfuse/langfuse36.6K+74+516+1,504
rasbt/reasoning-from-scratch5.7K+56+259+392

Explore repositories

Showing 1–50 of 83 tracked repositories.

deepset-ai/haystack

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

WeThinkIn/AIGC-Interview-Book

【三年面试五年模拟】AIGC/LLM/AI Agent算法工程师面试资源平台。涵盖AIGC、LLM大模型、AI Agent、具身智能、传统深度学习、计算机视觉、自然语言处理、自动驾驶、机器学习、强化学习、大数据挖掘、世界模型、元宇宙、AGI等AI行业面试笔试干货经验与核心跨周期知识。

Haozhe-Xing/agent_learning

A systematic AI Agent development tutorial covering LLM agents, RAG, tool use, memory systems, multi-agent systems, LangChain, LangGraph, MCP, and agentic RL.|从零开始学 AI Agent 开发 | 系统、全面、实战导向的 Agent 开发教程 | 每日自动追踪 arXiv 最新论文 | Learn AI Agent Development from Scratch

facebookresearch/meta-agents-research-environments

Meta Agents Research Environments is a comprehensive platform designed to evaluate AI agents in dynamic, realistic scenarios. Unlike static benchmarks, this platform introduces evolving environments where agents must adapt their strategies as new information becomes available, mirroring real-world challenges.