What is the primary benefit of using Atlas with Claude?

Atlas solves context overflow by storing project knowledge in a persistent vector database, allowing Claude to remember details and decisions across different sessions.

Does Atlas require external API keys?

Atlas requires a Voyage API key for high-quality embeddings and reranking, though it can fall back to local Ollama instances for offline operations.

What file formats does Atlas support?

Atlas supports a wide range of formats including Markdown, TypeScript, JavaScript, JSON, YAML, Rust, Go, Python, and shell scripts.

How is the data stored in Atlas?

Atlas uses Qdrant, a high-performance vector database, typically running in a Docker container to provide fast semantic search and metadata storage.

Can Atlas automatically index my files?

Yes, the Atlas daemon background service watches for file changes in specified directories and automatically ingests them into the persistent memory.

Atlas Persistent Memory

Name: Atlas Persistent Memory
Author: inherent-design

byinherent-design

0•

Data Science & ML

Manages persistent semantic memory and knowledge graph integration for AI agents to maintain context across sessions.

Atlas provides a robust infrastructure for long-term AI memory by integrating Voyage embeddings and Qdrant vector storage into the Claude Code workflow. It enables developers to ingest extensive codebase documentation, search through historical project decisions, and consolidate context to prevent context window overflow. By utilizing a background daemon for auto-ingestion and a specialized CLI for manual management, Atlas ensures that Claude maintains high-fidelity access to historical data and domain-specific knowledge throughout the entire development lifecycle.

Key Features

01Semantic search with Voyage reranking for high-precision context retrieval

020 GitHub stars

03Multi-service orchestration for Qdrant and Ollama infrastructure

04Automated background daemon for real-time file watching and ingestion

05Comprehensive system diagnostics to monitor service health and connectivity

06Intelligent context consolidation to reduce redundancy and optimize vector storage

Use Cases

01Building a queryable persistent knowledge base for large-scale or legacy codebases

02Retrieving specific implementation patterns from past work using semantic natural language

03Maintaining project context and architectural decisions across multiple development sessions

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add inherent-design/atlas atlas

For use in Claude.ai and ChatGPT

Download Skill