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