Independently authored prompt templates for AI coding agents — system prompts, tool prompts, agent delegation, memory management, and multi-agent coordination. Informed by studying Claude Code.
Optimize any AI agent’s skills, tools/MCP, and prompts against your own evals.
Harness the power of local LLMs with this TUI MCP Client for Ollama. Featuring all core MCP primitives (tools, prompts, resources), agent mode, multi-server, model switching, streaming responses, human-in-the-loop, thinking mode, model params config, system prompts, and saved preferences.
One prompt. Full delivery.
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.
Grok Build resources, reusable .grok/skills, AGENTS.md templates, hooks, prompts, and starter workflows.
Open-source observability & evaluation platform for AI agents and coding agents. Trace LLMs, tools, prompts, costs & agent workflows with OpenTelemetry.
Install engineering discipline into any AI coding assistant. Composable skills for design, implementation, review, and team standards. Better process, not just better prompts.
MCP server for OpenCode AI — 70 tools, 10 resources, 5 prompts. Use npx opencode-mcp with Claude Desktop, Claude Code, Cursor, Windsurf, or any MCP client.
The fastest local AI engine for Apple Silicon. 4.2x faster than Ollama, 0.08s cached TTFT, 100% tool calling. 17 tool parsers, prompt cache, reasoning separation, cloud routing. Drop-in OpenAI replacement. Works with Claude Code, Cursor, Aider.
Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.
The GEP-powered self-evolving engine for AI agents. Auditable evolution with Genes, Capsules, and Events. | evomap.ai
A disciplined methodology for AI-assisted software development. Covers architectural constraints, validation hooks, session governance, and PAG (Pattern Abstract Grammar) for structured AI collaboration. Copy claude-setup/ into your project to start.
Skills, MCP servers, Custom Agents, Agents.md for SDKs to ground Coding Agents
Fast, flexible, and open tooling for building intelligent workflows with Cypress.
Lightweight coding agent written in Rust, optimized for memory footprint and performance
A minimal Rails API template for creating MCP (Model Context Protocol) servers with robust tool execution capabilities and examples.
An atelier for your Agent: spec-driven workflows, deep thinking, and code quality.
Provider-neutral Agent Skill for Codex, Claude Code, and agentic harness design.
ADR secures enterprise AI agents through observability, security benchmarking, and threat detection. Deployed at Uber.
Protocol-layer harness for DeepSeek: Python witness stack — posterior verification that keeps the protocol honest. dsh doctor --node probes included.
Open-source adversary emulation for AI agents and MCP servers.
Deterministic safety solutions for probabilistic AI agents
Tamper-evident integrity monitor for the MCP config & server files your local AI agents load.