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Give AI coding assistants local file-based memory using Markdown and YAML.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Memory Fabric" MCP server from askskill: Run: claude mcp add 'io-github-elvirafa-memory-fabric' -- uvx memory-fabric
Use Memory Fabric to record this project's development conventions: backend uses TypeScript, tests must run before commits, and API names use kebab-case. Save this as reusable project memory for future coding.
The AI organizes the conventions into persistent local memory for later coding use.
Read project memory related to the authentication module from Memory Fabric and summarize the current login flow, dependent components, and important constraints.
The AI returns a summary of stored memory about the authentication module to restore development context quickly.
Write this debugging conclusion into Memory Fabric: the issue was caused by missing environment variables and was resolved after restarting the service; also record reproduction conditions and the temporary workaround.
The AI saves the debugging details as structured local memory for future troubleshooting.
Developers use it in long-running projects to store coding standards, architectural constraints, and team conventions. This lets an AI coding assistant work from the same local memory across future tasks.
When a team wants memory stored in local files instead of an external database, this tool fits managing an AI assistant's context. Markdown and YAML also make the memory easier to review and version.
Developers or DevOps engineers can store debugging conclusions, environment notes, and known limitations as memory. Later, an AI assistant can reuse that context during continued development or troubleshooting.
It is an MCP memory tool for AI coding assistants with a file-first and local-first approach. The description says it stores memory in Markdown and YAML and does not rely on a vector database.
Based on the description, it stores memory with a local-file-first approach. The storage formats are Markdown and YAML.
No. The original description explicitly says "no vector DB."
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