A personal AI agent with memory, personality, and autonomy.

👾 下一代透明智能体架构 | Next-Gen Transparent Agent Architecture 🔍 全行为审计 | 🛡️ 两段式安全调用 | 🧠 双水位记忆 | ⏰ 心跳任务 📊 P0 级事故率降低 80% | 兼容 OpenClaw + Claude Code 技能生态

A high-performance KV storage engine based on the Bitcask

一个研究伙伴

IRIS 是一个基于 Agentic Workflow（智能体工作流）的自动化深度调研与报告生成系统。它摒弃了传统的单向 RAG 问答模式，通过构建多节点状态机（State Machine），实现了从意图识别、路径规划、动态检索（混合/本地）、深度撰写到自我审查与局部修改的全自动闭环。

AI Agent 面试全攻略：从零到Offer，包含200+面试题、企业级项目(Python/Java/Go)、简历模板、STAR面试稿、哆啦A梦漫画图解

🔍大模型应用开发实战一：RAG 技术全栈指南，在线阅读地址：https://datawhalechina.github.io/all-in-rag/

SuperMew — Agentic RAG with LangChain & LangGraph

https://adongwanai.github.io/AgentGuide | AI Agent开发指南 | LangGraph实战 | 高级RAG | 转行大模型 | 大模型面试 | 算法工程师 | 面试题库 | 强化学习｜数据合成

🦞+🔬 NanoResearch: The Autonomous AI Research Assistant

Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.

Paper2Agent is a multi-agent AI system that automatically transforms research papers into interactive AI agents with minimal human input.

🧠「大模型」2小时完全从0训练64M的小参数LLM！Train a 64M-parameter LLM from scratch in just 2h!

👀「大模型」2小时从0训练65M参数的视觉多模态VLM！Train a 65M-parameter VLM from scratch in just 2h!

Edit Banana: A framework for converting statistical formats into editable.

The repo for "MMPareto: Boosting Multimodal Learning with Innocent Unimodal Assistance", ICML 2024

This repository provides a comprehensive collection of papers focused on Multimodal Federated Learning (MMFL).

[ICLR 2023] Multimodal Federated Learning via Contrastive Representation Ensemble

Official Implementation of paper "Multimodal Federated Learning with Missing Modality via Prototype Mask and Contrast"

Official code for "Federated Weakly Supervised Video Anomaly Detection with Multimodal Prompt" (AAAI2025)

[ACL 2024 Main] Official PyTorch implementation of the paper "Multimodal Prompt Learning with Missing Modalities for Sentiment Analysis and Emotion Recognition"

goim server write by golang !🚀

[NeurIPS 2024 Spotlight] Code for the paper "Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts"

学术期刊配色推荐器

[AAAI2025] FedCFA: Alleviating Simpson’s Paradox in Model Aggregation with Counterfactual Federated Learning

面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版