# AtlasMemory

> Use this tool when you need to create a neural map of your codebase for AI readability, linking claims to specific code anchors and optimizing context windows for efficient understanding. AtlasMemory solves the problem of AI agents struggling to comprehend complex codebases by providing a comprehensive and protected mapping system. It takes in codebases as input and outputs an AI-readable neural map, ideal for use cases where AI-driven code analysis and learning are required.

Canonical page: https://skillsregistry.net/skills/bpolat0-atlasmemory  
JSON: https://api.skillsregistry.net/v1/skills/bpolat0-atlasmemory

## Description

Turn any codebase into an AI-readable neural map — with proof. Every claim linked to code anchors (line + SHA-256 hash), every context window optimized with greedy token budgeting, every session protected by drift detection. Tree-sitter indexing across 11 languages, cross-session learning, AI enrichment, and 28 MCP tools. Zero config — just connect and your AI agent remembers everything.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/aly9p06u45)
- **Repository:** <https://github.com/Bpolat0/atlasmemory>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "bpolat0-atlasmemory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bpolat0-atlasmemory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bpolat0-atlasmemory/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt