1.agentscope-ai / agentscope
Build and run agents you can see, understand and trust.
Ranked by Attention Score: stars gained over the last 7 complete days
18 repositories by Attention Score · Oct 27, 2026 – Nov 2, 2026 (UTC)
Build and run agents you can see, understand and trust.
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
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.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models
The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
An open-source, tool-augmented conversational language model from Fudan University
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
A curated list of 120+ LLM libraries category wise.
Hierarchical Reasoning Model Official Release
TensorZero is an open-source LLMOps platform that unifies an LLM gateway, observability, evaluation, optimization, and experimentation.
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.