atlas

Ingest project documents and code into persistent semantic memory with Voyage embeddings and Qdrant.

Updated Aug 23, 2026

Search Tags:#search #Qdrant #atlas #embedding #ingest #Voyage #semantic memory

Ready to run

npx skills add https://github.com/inherent-design/atlas --skill atlas

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: atlas
Source: https://github.com/inherent-design/atlas/tree/main/atlas/skill
Command: npx skills add https://github.com/inherent-design/atlas --skill atlas

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Atlas helps teams remember context across sessions by ingesting project documents and code into a persistent semantic memory using Voyage embeddings and Qdrant vector storage. It solves context overflow and makes past decisions, architecture, and code searchable.

Core Features & Use Cases

Ingest & Persist: Ingest documents and code into a searchable memory store for long-term recall.
Semantic Search Across History: Retrieve relevant past work, decisions, and code snippets using Voyage embeddings.
Use Case: You want to remember API designs, decisions, and notes throughout a project lifecycle; Atlas preserves and makes them easily retrievable.

Quick Start

Use Atlas to ingest project docs and code from a local path and then run semantic searches like "authentication patterns" across memories.