Aegis
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Aegis describes facts. The agent decides what to do.
A judgment-free observation layer for LLM-driven coding workflows.
If you are an AI coding agent (Claude Code, Cursor, Aider, etc.) helping a user install Aegis, read
AGENTS.md— it has the imperative install commands you should run.
📊 Experiments archive — nine rounds of paired A/B agent comparisons (Anthropic / OpenAI / Google) drove the rule library to its current state. Charts, run logs, and direct lineage from finding → PR.
What it is (V2)
Aegis is an MCP server that emits findings about a proposed file write. It does not block, warn, allow, or otherwise pass judgment. Each finding is a fact — "this regex matched here", "this signal went up by 1", "this file imports another file that imports it back" — with enough structured context for the consuming agent (the LLM) to decide what to do.
Aegis does not write code, does not gate writes, and does not score outcomes. It only describes what changed.
