《深入理解 AI Agent:设计原理与工程实践》(李博杰 著)开源主仓库:全书正文、编译版 PDF 与按章配套代码
Build and run agents you can see, understand and trust.
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
A straightforward method for training your LLM, from downloading data to generating text.
[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Chronos: Pretrained Models for Time Series Forecasting
【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。
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.
A clinical decision-evidence benchmark: pull the one fact an answer rests on, and see whether the assistant's action moves with the evidence. Built on HealthBench.
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)
FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models
Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷
🚀 Efficient implementations for emerging model architectures
Observal is self-hosted registry for your coding agent extensions with a built in insight engine. Setup Observal, define the scope and share your Skills, MCPs and Agents with your peers.
Open-source autoresearch powered by autonomous coding agents. Run Claude Code, OpenCode, and Codex with grading, shared knowledge, and multi-agent evolution. Accepted at COLM 2026.
Halo is an open-source framework built by White Circle for training large language and multimodal models
Machine Learning Engineering Open Book
Ongoing research training transformer models at scale
Building AI agents, atomically
🏝️ OASIS: Open Agent Social Interaction Simulations with One Million Agents.
Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts)
HRM-Text is a 1B text generation model based on the HRM architecture, strengthened by task completion and latent space reasoning.
Fast, Flexible and Portable Structured Generation
Minimal reproduction of OneRec
Create, Evaluate, and Connect AI Skills
LLM KV cache compression made easy
[ICLR 2026] LightMem: Lightweight and Efficient Memory-Augmented Generation
Lightweight and portable LLM sandbox runtime (code interpreter) Python library.
🧪 Awesome list of AI Scientist papers, systems, benchmarks, datasets and open-source platforms.
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
One-for-All Multimodal Evaluation Toolkit Across Text, Image, Video, and Audio Tasks
Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks
Optimizing inference proxy for LLMs
⚡FlashRAG: A Python Toolkit for Efficient RAG Research (WWW2025 Resource)
AI Search & RAG Without Moving Your Data. Get instant answers from your company's knowledge across 100+ apps while keeping data secure. Deploy in minutes, not months.
SOTA low-bit LLM quantization (INT8/FP8/MXFP8/INT4/MXFP4/NVFP4) & sparsity; leading model compression techniques on PyTorch, TensorFlow, and ONNX Runtime
[EMNLP-2024] Build multimodal language agents for fast prototype and production
A simple, performant, and scalable Jax LLM!
Scalable data pre processing and curation toolkit for LLMs
DATAGEN: AI-driven multi-agent research assistant automating hypothesis generation, data analysis, and report writing.
A neurosymbolic perspective on LLMs
NeoHorse-1: Towards Recursive Self-Improvement via Agentic Post-Training with Routing Harness.
Get clean data from tricky documents, powered by vision-language models ⚡
OctoTools: An agentic framework with extensible tools for complex reasoning
The community's most comprehensive, continuously-updated index of research on Large Language Models for software vulnerability detection — papers across function-level, repository-level, agentic, and smart-contract detection, plus datasets, benchmarks, and surveys.
🦙 Integrating LLMs into structured NLP pipelines
Daily updated LLM papers. 每日更新 LLM 相关的论文,欢迎订阅 👏 喜欢的话动动你的小手 🌟 一个
Helping Ethical Hackers use LLMs in 50 Lines of Code or less..
Coding Agents skills for Synalinks OSS
A simple, unified multimodal models training engine. Lean, flexible, and built for hacking at scale.
Ingest files for retrieval augmented generation (RAG) with open-source Large Language Models (LLMs), all without 3rd parties or sensitive data leaving your network.
Cell type annotation for single-cell RNA-seq using multi-LLM consensus
Official Codebase for "Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights" (ICML 2026 Spotlight)
[ICML 2024] TrustLLM: LLM trustworthiness evaluation across truthfulness, safety, fairness, robustness, privacy and ethics. Python/CLI toolkit for local models, compatible APIs and AI agent orchestration.
multilspy is a lsp client library in Python intended to be used to build applications around language servers.
A curated collection of papers and resources on On-Policy Distillation for Large Language Models.