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High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.

🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK, LiteLLM, and more. 🍊YC W23

OmX - Oh My codeX: Your codex is not alone. Add hooks, agent teams, HUDs, and so much more.

Vercel's official collection of agent skills

🤗 smolagents: a barebones library for agents that think in code.

Integrate cutting-edge LLM technology quickly and easily into your apps

The batteries-included agent harness.

Mastra is the modern TypeScript framework for AI-powered applications and agents.

#1 Persistent memory for AI coding agents based on real-world benchmarks

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

TencentDB Agent Memory is a team-level memory hub for AI Agents — turning conversations, docs, and code into four reusable memory assets (Chat Memory, Skill, LLM-Wiki, Code-Graph) that are governed, shared, and equipped across agents and frameworks.

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.

A guidance language for controlling large language models.

AI Agent Framework, the Pydantic way

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

The LLM Evaluation Framework

Structured Outputs

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.

Collection of leaked system prompts

structured outputs for llms

A framework for few-shot evaluation of language models.

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.

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

"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.

the LLM vulnerability scanner

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.

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

The sandbox agent framework.