headroom: Headroom is a context compression layer designed for AI agents and LLMs, significantly reducing token usage (60-95% fewer tokens) by compressing tool outputs, logs, RAG chunks, files, and conversation history. It operates locally and reversibly, ensuring data privacy and the ability to retrieve original content on demand.; GitHub MCP Server: GitHub's official MCP Server connects AI agents directly to GitHub, enabling natural language interactions with repositories, issues, pull requests, code search, Actions workflows, and security findings. Built for developers who want to bring GitHub context into AI assistants — from simple queries to complex multi-step agent workflows. Available as a remote server or self-hosted Docker container.
Optimizing AI Coding Agent Workflows: Significantly reduce token costs and improve efficiency when using agents like Claude Code, Cursor, or Aider for daily coding tasks.
AI-assisted code review, issue triage, and PR management in GitHub