MCP Pocket Memory
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
MCP Pocket Memory
Small MCP server for durable AI memory backed by SQLite.
Features
Store, update, delete, and search memories.
Optional
repofield for project-specific context.Optional custom tags for faster filtering.
Broad keyword search across key, content, repo, and tags.
SQLite WAL mode for light parallel agent usage.
Cached
find_memoryresults with TTL.
Related MCP server: simple-memory-mcp
Build
cargo build --releaseInstall
From crates.io:
https://crates.io/crates/mcp-pocket-memory
cargo install mcp-pocket-memoryFrom GitHub Releases:
https://github.com/robby031/mcp-pocket-memory/releases
Init Database
mcp-pocket-memory initDefault database path: ~/.mcp-pocket-memory/pocket_memory.sqlite3.
MCP Config
{
"mcpServers": {
"pocket-memory": {
"command": "/path/to/mcp-pocket-memory",
"args": ["serve"],
"env": {
"POCKET_MEMORY_FIND_CACHE_CAPACITY": "512",
"POCKET_MEMORY_FIND_CACHE_TTL_SECS": "30"
}
}
}
}To use a custom database path, set POCKET_MEMORY_DB.
Tools
upsert_memory
Insert or update a memory by key.
{
"key": "repo-error-handling",
"repo": "my-repo",
"tags": ["convention", "error-handling"],
"content": "Use structured errors for service boundaries. Keep user-facing messages separate from internal debug context."
}find_memory
Find relevant memories. Can be called without filters to load recent context.
{
"repo": "my-repo",
"keyword": "error handling",
"tags": ["convention"],
"limit": 10
}delete_memory
Delete a memory by exact key.
{
"key": "repo-error-handling"
}Release
GitHub Actions builds release binaries when pushing a tag:
git tag v0.4.0
git push origin v0.4.0Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
This server cannot be deployed
Maintenance
Related MCP Connectors
Persistent memory for AI agents. Search and store durable facts, preferences and decisions.
Persistent memory for AI agents: save, search and connect context across tools and sessions.
Persistent memory for AI agents: add, search, update, and delete long-term memories.
Persistent memory for AI agents. Search, store, and recall across sessions.
Related MCP Servers
- -licenseNot gradedqualityNot gradedmaintenanceProvides persistent local memory functionality for AI assistants, enabling them to store, retrieve, and search contextual information across conversations with SQLite-based full-text search. All data stays private on your machine while dramatically improving context retention and personalized assistance.3-
- AlicenseNot gradedqualityDmaintenanceProvides AI assistants with persistent memory across sessions using local SQLite and keyword search, allowing storage and retrieval of user preferences, project context, and decisions.27 npm9MIT

LogicMem MCP Serverofficial
AlicenseBqualityCmaintenanceProvides persistent memory, reasoning, agent-to-agent sharing, and immutable audit trail for AI agents via the Model Context Protocol.121MIT- AlicenseNot gradedqualityDmaintenanceProvides persistent memory for AI coding agents through the Model Context Protocol, enabling them to store and retrieve project knowledge across sessions.27 npmMIT