headroom: Headroom compresses everything your AI agent reads — tool outputs, logs, RAG chunks, files, and conversation history — before it reaches the LLM. It achieves the same answers with a fraction of the tokens.; metatron: Metatron is a self-hosted system that captures a codebase's real implementation decisions—preferred patterns, rejected approaches, edge cases, internal conventions—as structured data. It serves these "decisions" to coding agents via MCP, allowing them to write code like a senior engineer who deeply understands the codebase, rather than constantly rediscovering conventions.
Reduce LLM token usage and API costs for AI agents.
Ensuring AI agents adhere to codebase conventions.