agentops
The operations layer for agentic engineering — portable skills and contracts connecting intent, agents, software factories, and independent judgment.
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License tag · curated repositories and deep analysis.
The operations layer for agentic engineering — portable skills and contracts connecting intent, agents, software factories, and independent judgment.
Offensive security framework for AI agent infrastructure - recon, credential looting, model exfiltration, poisoning, and attack-path analysis across MCP, A2A, gateways, and AI services. BloodHound for the agentic stack.
Python toolkit for building graph-enhanced GenAI applications
Harness-oriented agent system framework for production-grade LLM agent applications
Generative AutoML for Tabular Data
openJiuwen agent-core provides a complete set of SDK capabilities related to AI Agent development, running, optimization, and evolution.
The missing linter and lsp for AI coding assistants. Validate CLAUDE.md, AGENTS.md, SKILL.md, hooks, MCP. Plugin for all major IDEs included, with autofixes.
Repository of code and resources related to different data science and machine learning topics. For learning, practice and teaching purposes.
Your personal voice assistant based on OpenAI ChatGPT.
🤖 An AI agent framework built with Rust.
Unified large model proxy gateway, providing load balancing, fault transfer, current limiting, budget management, content auditing, caching, and MCP gateway capabilities.
RAG (Retrieval-augmented generation) ChatBot that provides answers based on contextual information extracted from a collection of Markdown files.
The open-source TypeScript framework for building AI workflows and agents. Designed for Claude Code describe what you want, Claude builds it, with all the best practices already in place.
Userspace macOS translation layer for Linux ARM64
a fast, rootless sandbox and virtual resource runtime. Run any workload in a real container, including an agent's tool-call or AI-generated code.
Java 8+ agentic SDK: unified LLM access (OpenAI/Anthropic/DashScope/Doubao/DeepSeek...), Tool Calling, MCP, RAG, Agent Runtime, and a built-in Coding Agent CLI/TUI/ACP.
Community project for building application containers
Run AI agents isolated in a macOS user account and sandbox-exec. Configured to run Claude Code, OpenAI Codex, Cursor Agent, Google Gemini.
We propose Reinforcement Learning from Community Feedback (RLCF), a training paradigm that uses large-scale community signals as supervision, and formulate scientific taste learning as a preference modeling and alignment problem.
Runtime reflection library built on C++26 static reflection