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Provide a local code-memory graph for AI coding agents.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Droste" MCP server from askskill: Run: claude mcp add 'io-github-lorismascio17-droste-memory' -- npx -y droste-memory
Developers can use it to provide a code-memory graph to AI coding agents when working with complex local projects. It fits situations where fast understanding of module relationships is important.
Before asking AI to modify features or investigate issues, teams can use a local code-memory graph to map related files and dependencies. This helps provide more complete context for targeted work in multi-module projects.
Based on the description, Droste is a local code-memory graph tool for AI coding agents, helping them understand code context and relationships.
It is mainly suited for developers and technical teams using AI-assisted coding on local codebases. The description specifically highlights AI coding agents.
The provided material does not include installation steps, runtime requirements, or key information. See the source repository for details.
Provides local persistent memory for coding agents with low-cost context retrieval.
Give coding agents local structural memory for leaner, refactor-safe development.
Give AI coding agents persistent cross-session memory for project knowledge.
Give AI coding agents searchable local project memory with safe structured updates.
Search code, extract symbols, map imports, and package repository context locally.
Provide AI coding agents a persistent, queryable local model of repositories.