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A desktop-first literature manager for PDF reading, translation, paper overviews, and AI agent workflows.
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
Collaborative cheatsheets for console commands 📚.
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。
[WWW‘26 Oral🔥] DeepAgent: A General Reasoning Agent with Scalable Toolsets
Agentic AI Infrastructure for magnifying HUMAN capabilities.
[ICLR 2026] Agentic Reinforced Policy Optimization (ARPO)
~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google, ...). 10+ search engines - arXiv, PubMed, your private documents. Everything Local & En…
High-fidelity world models for general embodied intelligence, such as data engines and world simulators.
Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini C…
Automated system for LLM evaluation via agents. Doc as below:
一个用于从 dblp 中爬取 CCF 会议/期刊论文元信息和摘要的高效爬虫工具
This is my student (by agent). It can be used as a donkey.
⚡A CLI tool for code structural search, lint and rewriting. Written in Rust
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
一款公考app,能很好的完成ai解析,错题本,番茄todo,计划表,记录你每天努力的一款考公app
多模型协作工作流引擎 — /ccg:go 一个命令,AI 自动分析意图、选择策略、编排 Codex + Gemini + Claude 协作执行
Skills for Real Engineers. Straight from my .claude directory.
AI-agent-first CLI for BOSS 直聘 — 职位搜索、福利筛选、招聘者工作流、MCP 工具与 AI 简历优化
ATM-Bench: A benchmark for long-term personalized memory QA spanning ~4 years of multimodal data (images, videos, emails). Features referential queries, evidence-grounded answering, and multi-sourc…
Local-first interview recording review reports with a Codex skill and CLI.
Universal memory layer for AI Agents. It provides scalable, extensible, and interoperable memory storage and retrieval to streamline AI agent state management for next-generation autonomous systems.
A MemAgent framework that can be extrapolated to 3.5M, along with a training framework for RL training of any agent workflow.