argos
The open source visual testing platform for teams and AI agents. Review the product, not just the code.
An AI agent is a program that uses a language model to decide what to do next, calls tools such as a browser, a code interpreter or an API, and repeats until the task is done. The projects here range from frameworks for building your own agents to finished agents that write code, browse the web or run business workflows.
Compare three things. Which models it can use: a single provider, or any OpenAI-compatible endpoint including local ones. How it limits what the agent may do: sandboxing, approval steps and permission lists. And whether it keeps memory between steps and sessions. An agent that runs code or shell commands should run in a sandbox, so check that before giving it access to your machine.
The open source visual testing platform for teams and AI agents. Review the product, not just the code.
Homelab infrastructure as a code (IaaC)
An implementation of Actor, Publish-Subscribe, and CSP models in one rather small C++ framework. With performance, quality, and stability proved by years in the production.
My custom AI Agent skills
Vibe Design meets Figma. Let AI agents design directly in Figma.
An AI workflow skill pack for research, competitions, and innovation projects.
Compress LLM context to save tokens and reduce costs
Vestige enhances agents by deterministic root-cause retrieval that reaches backward through time to find the quiet change, decision, or service that caused today’s failure, not the lookalike.
本项目旨在为致力于进入VLA(Vision-Language-Action)领域的算法工程师提供一份全中文、实战导向的学习/面试手册。 不同于通用的 CV/NLP 面试指南,本项目聚焦于 Robotics 特有的挑战
Open-source antivirus for AI agents: block risky tools, secret access, prompt injection, malicious packages, MCP servers, plugins, and skills at runtime.
The official Redis MCP Server is a natural language interface designed for agentic applications to manage and search data in Redis efficiently
A local-first desktop workspace for running, organizing, and resuming multiple coding agents and shells with real PTYs, split panes, persistent layouts, and local session history.
AI 应用开发、AI 编程实战与面试指南,涵盖 LLM、Agent、RAG、MCP、Claude Code、Codex 等核心技术与工程实践。
Skills that guide AI coding agents to help you build product-specific AI evals.
Matchlock secures AI agent workloads with a Linux-based sandbox.
The CLI for AI agents to control Chrome. Zero config, agent-agnostic, battle-tested.
The all-in-one RWKV runtime box with embed, RAG, AI agents, and more.
ANOLISA (Agentic Nexus Operating Layer & Interface System Architecture) | Agentic OS with runtime, security, observability, and Tokenless response compression for lower token usage and cost.
Context Engine for your long-running AI agents
Claude-Code-Python: Reconstructing Claude Code in Python
Embedded agents your customers use to automate work, build views, and connect their tools.
Self-host n8n on Google Cloud without the subscription fees or server headaches - because your automation workflows shouldn't cost more than your coffee budget
The open-source context layer for your AI. Catalog your tables, topics, queues and APIs then expose real metadata to your AI agents.
Diagnose your Claude Code sessions