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⚡ 适合中国宝宝的 Jev 入门教程|手把手带你了解关于 Jev 的一切——Jupyter Notebook 轻松实验,从三种问题原语到 18 篇实战配方、语音智能家居、模型评测与本地微调,全面掌握 System One 判断模型的开发范式
Ticket-Driven Automated Software Engineering. OpenASE is an all-in-one platform that turns tickets into working code — AI agents automatically pick up tickets, execute workflows on your machines, a…
[NovaNova Studio] 一个 Agent 驱动的集 AI图片生成、AI视频生成、无限画布、自定义模型 API 、AI漫剧、AI短剧、小说解析剧本、小说转短剧、3D导演台、用户管理、积分管理于一体的全流程开源平台
Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harness support.
Reverse engineer anything with agents, from app behavior down to native binaries.
Deep dive into Claude Code's source code— learn from the best agent implementation out there.
高性价比人生指南: 长寿防病、急救、省钱理财、法律红线、失业与工伤、医保社保、恋爱婚育、怀孕育儿、创业与做平台合规、出国与技能。每条写明成本、收益、证据等级和原始出处,只引期刊论文与官方文件。
Turn any idea, plan, or codebase into a beautiful interactive diagram. An agent skill for Claude Code, Codex, and more.
🧠 Train a 64M-parameter LLM from scratch in just 2h!
🔥 Comprehensive survey on Context Engineering: from prompt engineering to production-grade AI systems. hundreds of papers, frameworks, and implementation guides for LLMs and AI agents.
"Context engineering is the delicate art and science of filling the context window with just the right information for the next step." — Andrej Karpathy. A frontier, first-principles handbook inspi…
Context engineering is the new vibe coding - it's the way to actually make AI coding assistants work. Claude Code is the best for this so that's what this repo is centered around, but you can apply…
Air-gapped, privacy-focused, open-source NotebookLM alternative. AI agent that researches, transforms, and edits your documents. Join our Discord: https://discord.gg/ejRNvftDp9
🛠️ Awesome tools & guides for harness engineering.
Awesome list for AI agent harness engineering: tools, patterns, evals, memory, MCP, permissions, observability, and orchestration.
Harness Engineering 学习指南 — 从概念理解到独立实践的深度学习档案
Harness engineering beginner tutorial, from 0 to 1
Code release for our NeurIPS 2024 Spotlight paper "GenArtist: Multimodal LLM as an Agent for Unified Image Generation and Editing"
Pi extension for async subagent delegation with truncation, artifacts, and session sharing
AI agent toolkit: unified LLM API, agent loop, TUI, coding agent CLI
The code and data for "MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark" [NeurIPS 2024]
A benchmark for LLMs on complicated tasks in the terminal
SWE-bench: Can Language Models Resolve Real-world Github Issues?
A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)
#1 Persistent memory for AI coding agents based on real-world benchmarks