1.666ghj / MiroFish
A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎,预测万物
Ranked by Attention Score: stars gained over the last 90 complete days
25 repositories by Attention Score · Aug 5, 2026 – Nov 2, 2026 (UTC)
A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎,预测万物
100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4.1, MiniMax-H3, Gemma 4, FLUX and more.
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Your lightweight open-source personal agent.
Build Real-Time Knowledge Graphs for AI Agents
An autonomous agent that conducts deep research on any data using any LLM providers
A modular graph-based Retrieval-Augmented Generation (RAG) system
🚀 The fast, Pythonic way to build MCP servers and clients.
[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.
AI Observability & Evaluation
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
微舆:人人可用的多Agent舆情分析助手,打破信息茧房,还原舆情原貌,预测未来走向,辅助决策!从0实现,不依赖任何框架。
An Open-Source Asynchronous Coding Agent
Structured Outputs
Access large language models from the command-line
Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.6, GPT-OSS, Llama, and more!
An open-source RAG-based tool for chatting with your documents.
AG2 (formerly AutoGen): The Open-Source AgentOS.Join us at: https://discord.gg/sNGSwQME3x
Pocket Flow: Codebase to Tutorial
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
The official GitHub page for the survey paper "A Survey of Large Language Models".
News reader with tags, scoring, and LLM