Awesome Prompts

Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, DeepSeek, and more. Simple declarative configs with command line and CI/CD integration. Used by OpenAI and Anthropic.

Agent2Agent (A2A) is an open protocol enabling communication and interoperability between opaque agentic applications.

Platform for stateful agents: AI with advanced memory that can learn and self-improve over time.

A guidance language for controlling large language models.

How Python does AI. Agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end.

Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, security risks, prompt injection, data exfiltration, and supply-chain risks in Claude Code, Codex, and MCP skills before you install them.

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

The LLM Evaluation Framework

A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, or debugging agent systems that require effective context management.

Structured Outputs

Multiplayer agent harness for work.

Collection of leaked system prompts

Open-source, secure environment with real-world tools for enterprise-grade agents.

A framework for few-shot evaluation of language models.

structured outputs for llms

A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.

All parts of Claude Code's system prompt, 27 builtin tool descriptions, sub agent prompts (Plan/Explore/Task), utility prompts (CLAUDE.md, compact, statusline, magic docs, WebFetch, Bash cmd, security review, agent creation). Updated for each Claude Code version.

Build your own AI SRE agents. The open source toolkit for the AI era.

AI Observability & Evaluation

Practical patterns, starters & CLI tools for loop engineering with AI coding agents. Design systems that prompt and orchestrate agents (inspired by Addy Osmani and Boris Cherny). Includes loop-audit, loop-init, loop-cost.

OpenAI's Codex Security CLI and TypeScript SDK for finding, validating, and fixing security vulnerabilities. npm: https://www.npmjs.com/package/@openai/codex-security

ARTEMIS turns natural-language instructions into reliable Android automation. It automates end-to-end workflows, captures logs, and integrates seamlessly with AI coding assistants such as Antigravity, Codex, and Claude Code. It also achieves 99%+ success rate on AndroidWorld Benchmark.

Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting, enforce policies and sandboxing, and collaborate in real time from any device.

Tips and tricks for working with Large Language Models like OpenAI's GPT-4.

the LLM vulnerability scanner

"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 inspired by Karpathy and 3Blue1Brown for moving beyond prompt engineering to the wider discipline of context design, orchestration, and optimization.

PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous self-improving agents that research, plan, code, and execute tasks. Deployed in 5 lines of code with built-in memory, RAG, and support for 100+ LLMs.

OpenShell is the safe, private runtime for autonomous AI agents.

The sandbox agent framework.

No description.

🧱 Easy fast local-first microVM runtime and library

22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.

Kimi Code CLI — The Starting Point for Next-Gen Agents

A community driven registry service for Model Context Protocol (MCP) servers.

Optimize prompts, code, and more with AI-powered Reflective Optimization

AI Agent Governance Toolkit — Policy enforcement, zero-trust identity, execution sandboxing, and reliability engineering for autonomous AI agents. Covers 10/10 OWASP Agentic Top 10.

Open-source auth gateway connecting 1400+ SaaS providers to AI agents through SDK, CLI, MCP, HTTP, and OpenAPI.

The open-source agent harness - the runtime layer that turns an LLM into a working agent.

GitHub Agentic Workflows

A lightweight, powerful framework for multi-agent workflows and voice agents

TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients. Published in Nature.

The World's First Virtual Terminal for AI Agents

Stateful agents that are like people, with memory, identity, and the ability to learn and adapt

100+ installable Claude skills covering Engineering areas such as, ISO 26262 functional safety, ISO/SAE 21434 cybersecurity, ISO 21448 SOTIF, AIAG-VDA quality (APQP/PPAP/FMEA), Automotive SPICE, and continuous improvement tools — every builder paired with a confirmation reviewer.

The paper list of "Memory in the Age of AI Agents: A Survey"

A Python framework for self-hosted LLM tool-calling and multi-step agentic workflows

Permanent memory for AI agents. A 426-token prompt, a script, plug and play.

Continual learning infra for self-improving agents

The operating layer for Claude Code + OpenAI Codex: persistent project memory, intent routing, safety hooks, cost telemetry, and parallel agent fleets.

Measuring and evolving with the frontier of agent work