# Index a codebase into evidence-backed memory so agents can answer with citations

> Use AtlasMemory when an agent keeps losing repo context and needs indexed, evidence-linked answers with file and line anchors instead of re-reading the whole codebase every session.

- Skill: `agentskillexchange/index-a-codebase-into-evidence-backed-memory-so-agents-can-a` (Agent Skill)
- Install (CLI): `npx skillmds@latest add agentskillexchange/index-a-codebase-into-evidence-backed-memory-so-agents-can-a`
- Raw SKILL.md: https://api.skillmd.com/api/skills/agentskillexchange/index-a-codebase-into-evidence-backed-memory-so-agents-can-a/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: agentskillexchange (https://skillmd.com/u/agentskillexchange)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/agentskillexchange/index-a-codebase-into-evidence-backed-memory-so-agents-can-a

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# Index a codebase into evidence-backed memory so agents can answer with citations

Use AtlasMemory when an agent keeps losing repo context and needs indexed, evidence-linked answers with file and line anchors instead of re-reading the whole codebase every session.

## Prerequisites

Node.js 18+; npm or npx; a local codebase to index; an MCP-compatible client; optional Claude CLI or OpenAI Codex CLI access if you want AtlasMemory's semantic enrichment features.

## Installation

Use the upstream install or setup path that matches your environment:
- npx atlasmemory index . # Step 1: Index (automatic)
- npx atlasmemory enrich --all # Step 2: AI-enhance all files
- npx atlasmemory generate # Step 3: Generate AI instructions
- npx atlasmemory status # Check your AI Readiness Score

Requirements and caveats from upstream:
- <a href="https://nodejs.org"><img src="https://img.shields.io/badge/node-%3E%3D18-brightgreen" alt="Node.js"></a>
- **How it works:** AtlasMemory uses Claude CLI or OpenAI Codex (running locally) to analyze files. Requires an active Claude or OpenAI subscription with CLI access.

Basic usage or getting-started notes:
- # After indexing, run enrichment for maximum AI readiness:
- | **0-50** (Fair) | Keyword only | Run atlasmemory enrich — dramatically improves results |
- | **50-80** (Good) | Partial semantic | Run atlasmemory enrich --all for full coverage |

- Source: https://github.com/Bpolat0/atlasmemory
- Extracted from upstream docs: https://raw.githubusercontent.com/Bpolat0/atlasmemory/HEAD/README.md

## Documentation

- https://github.com/Bpolat0/atlasmemory

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/index-a-codebase-into-evidence-backed-memory-so-agents-can-answer-with-citations/)