pomazanbohdan/memory-mcp-1file
by Various
π¦ π π πͺ π§ - A self-contained Memory server with single-binary architecture (embedded DB & models, no dependencies). Provides persistent semantic and graph-based memory for AI
MCP
pomazanbohdan/memory-mcp-1file
Added 1 June 2026
Overview
A self-contained memory server built as a single binary. It embeds a database and models with no external dependencies. It offers persistent semantic and graph-based memory for AI applications.
Best for
Best for
Developers needing a lightweight, self-contained memory server for AI agents or chatbots
Use cases
- Persisting AI agent context across sessions
- Storing and querying semantic relationships
- Running a lightweight memory backend without external services
How to use
Install
claude mcp add memory -- npx -y memory-mcp-1file Tools exposed
store_memoryupdate_memorydelete_memorylist_memoriesget_memoryget_validsearch_memoryknowledge_graphindex_projectdelete_projectrecall_codesearch_symbolssymbol_graphproject_infoget_statusreset_all_memorye5_multibge_m3e5_small
Tested with
Claude Desktop, Claude Code, Cursor, Windsurf, Cline, Continue, VS Code
Notes
A self-contained memory server built as a single binary. It embeds a database and models with no external dependencies. It offers persistent semantic and graph-based memory for AI applications.
23 stars on GitHub. Last updated 2026-05-28. Licensed MIT.
Use cases
- Persisting AI agent context across sessions
- Storing and querying semantic relationships
- Running a lightweight memory backend without external services
Pros
- Single binary deployment with no external dependencies
- Cross-platform support (Linux, macOS, Windows)
- Persistent semantic and graph memory
Cons
- Low star count (23) suggests limited community and testing
- Rust binary may not be easily modifiable by non-Rust developers
- Single-binary architecture may not suit distributed deployments
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Single binary deployment with no external dependencies
- Cross-platform support (Linux, macOS, Windows)
- Persistent semantic and graph memory
Cons
- Low star count (23) suggests limited community and testing
- Rust binary may not be easily modifiable by non-Rust developers
- Single-binary architecture may not suit distributed deployments
Pairs with
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