LycheeMem
Lightweight Long-Term Memory for LLM Agents.
HYSEN LABS VERZEICHNIS
Kuratierte Repositories mit präziser Taxonomie, geprüften Metadaten und praktischem Kontext.
Lightweight Long-Term Memory for LLM Agents.
Backtrader-powered backtesting framework for algorithmic trading, featuring 20+ strategies, multi-market support, CLI tools, and an integrated MCP server for professional traders.
Useful skills for agents and claws.
Agent工程师最全学习路径 · 从零精通 AI 工程 · 20 阶段 503 课 · 中文全量翻译 + 配套站点 + 动画讲解视频 · 如何成为 AI Agent 工程师的修成指南
Official code for TimeCraft: A Time Series Generation Framework for Real-World Applications
Official implementation of "Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding"
The MATLAB Agentic Toolkit brings trusted MATLAB capabilities to AI agents, making engineering and scientific workflows agent-ready.
小遥搜索,听懂你的话、看懂你的图,用AI找到本地任何文件。让搜索像聊天一样简单。XiaoyaoSearch: Understands your words, reads your images, finds any local file with AI. Making search as easy as chatting.
Books / PDFS / EPUBS for different fields of programming . READ GROW AND ENJOY 😊😊😊😊
📝 Local-first markdown notebook - notes live in your browser or local folders as plain markdown files, synced with in-browser git. No server, no account, works offline.
Beautiful Claude Code Chat Interface for VS Code
The offical repo for "Dream-RSI: Recursive Self-Improvement through Evolving Worlds"
Self-hostable clone of lazydocker for the web. Manage your Docker fleet with ease
Markdown note-taking web application designed for simplicity
TurboOCR, >200 img/s OmnidocBench. TensorRT FP16, PP-OCRv6, HTTP + gRPC
A playground for neuro-san
ExploitGym is a large-scale, realistic benchmark built from real-world vulnerabilities designed to evaluate AI agents' ability to develop exploits.
A fork of gym-retro with additional games, emulators and supported platforms
From the Tensor to Stable Diffusion, a rough outline for a 10 week course.
Open-source TypeScript terminal coding agent for DeepSeek-V4 — builds on DeepSeek's strong price-performance and ultra-cheap cache pricing, engineering byte-stable prefixes and cache-reusing forks so cross-session memory and a continuous self-correction layer add almost no token cost; 1M context, Skills/MCP/Hooks, Claude Code config compatible.