MCP Pocket Memory
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP Pocket Memorysave that my preferred language is TypeScript"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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 v0.4.0This server cannot be deployed
Maintenance
Related MCP Connectors
Persistent memory for AI agents. Search and store durable facts, preferences and decisions.
- mem0OAuthio.github.mem0ai
Persistent memory for AI agents: add, search, update, and delete long-term memories.
Persistent memory for AI agents. Search, store, and recall across sessions.
Persistent memory for AI agents — log and recall conversation context over MCP.
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