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Skills that guide AI coding agents to help you build product-specific AI evals.
Framework for evaluating and improving agents
Skills for AI Evals to compliment the course: AI Evals For Engineers & PMs
Local-first session search, analytics, insights, and token use statistics for coding agents, supporting Claude Code, Codex, and more than 20 other agents.
Specification and documentation for Agent Skills
A clean, modular SDK for building AI agents with OpenHands V1.
AI agent toolkit: unified LLM API, agent loop, TUI, coding agent CLI
⛰️ LifeOS — The universal AI Harness designed to move you from Current to Ideal state in both life and work.
Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with C…
♻️ Tool to detect and report on cyclic imports in a Python codebase
Index of all Model Context Protocol (MCP) clients and their capabilities
FAF specification — IANA-registered AI context format (application/vnd.faf+yaml)
Communicate with an LLM provider using a single interface
An MCP server plus a CLI tool that indexes local code into a graph database to provide context to AI assistants.
MCPMark is a comprehensive, stress-testing MCP benchmark designed to evaluate model and agent capabilities in real-world MCP use.
Klavis AI: MCP integration platforms that let AI agents use tools reliably at any scale
A community driven registry service for Model Context Protocol (MCP) servers.
Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors
Model Context Protocol Servers
Testing and evaluation platform to chat, inspect, and debug MCP servers, MCP apps, and ChatGPT apps.
A powerful MCP toolkit for coding, providing semantic retrieval and editing capabilities - the IDE for your agent