Haksnbot Memory
FreeNot checkedProvides persistent memory storage for AI agents with full-text search, tagging, and importance levels, enabling agents to store and retrieve memories efficient
About
Provides persistent memory storage for AI agents with full-text search, tagging, and importance levels, enabling agents to store and retrieve memories efficiently.
README
An MCP (Model Context Protocol) server that provides persistent memory storage for AI agents. Uses SQLite with full-text search for efficient storage and retrieval of memories.
Part of the Haksnbot suite: This project was originally developed as part of Haksnbot, an autonomous Minecraft bot. The suite includes four repos that work together: haksnbot-tools (Minecraft bot control), haksnbot-mind (the autonomous agent), haksnbot-admin (server administration), and haksnbot-memory (this repo - persistent memory). Each can be used independently, but they're designed to work together.
Features
- Persistent storage - Memories survive agent restarts
- Full-text search - Find memories by content using FTS5
- Tagging system - Organize memories with flexible tags
- Importance levels - Prioritize significant memories
- Pagination - Handle large memory collections efficiently
Installation
git clone https://github.com/haksndot/haksnbot-memory.git
cd haksnbot-memory
npm install
Usage with Claude Code
Add to your Claude Code MCP settings (~/.claude/settings.json):
{
"mcpServers": {
"memory": {
"command": "node",
"args": ["/path/to/haksnbot-memory/src/index.js"]
}
}
}
Configuration
The database path can be set via environment variable:
{
"mcpServers": {
"memory": {
"command": "node",
"args": ["/path/to/haksnbot-memory/src/index.js"],
"env": {
"MEMORY_DB_PATH": "/path/to/memories.db"
}
}
}
}
If not set, defaults to memories.db in the package directory.
Available Tools
| Tool | Description |
|---|---|
create_memory |
Store a new memory with optional tags, context, and importance |
get_memory |
Retrieve a specific memory by ID |
update_memory |
Update an existing memory's content, tags, or importance |
delete_memory |
Remove a memory |
list_memories |
List memories with filtering, sorting, and pagination |
search_memories |
Full-text search across memory content, tags, and context |
get_memory_stats |
Get statistics: total count, tag distribution, date range |
Memory Structure
Each memory contains:
- content - The main memory text (required)
- tags - Array of categorization tags (e.g.,
["player:Steve", "event:trade"]) - context - Additional context about when/where the memory was created
- importance - Priority level 1-10 (default 5)
- created_at / updated_at - Timestamps
Examples
> Remember that Steve helped me find diamonds at coordinates -234, 12, 567
> Search my memories for anything about Steve
> List my most important memories (importance >= 8)
> What do I remember about trading?
Requirements
- Node.js 18+
Dependencies
- better-sqlite3 - SQLite bindings
- @modelcontextprotocol/sdk - MCP server SDK
Related Projects
- haksnbot-mind - Autonomous Minecraft bot using Claude Agent SDK
- haksnbot-tools - Minecraft MCP tools
- haksnbot-admin - Server administration MCP tools
License
MIT
Installing Haksnbot Memory
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/haksndot/haksnbot-memoryFAQ
Is Haksnbot Memory MCP free?
Yes, Haksnbot Memory MCP is free — one-click install via Unyly at no cost.
Does Haksnbot Memory need an API key?
No, Haksnbot Memory runs without API keys or environment variables.
Is Haksnbot Memory hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install Haksnbot Memory in Claude Desktop, Claude Code or Cursor?
Open Haksnbot Memory on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
Related MCPs
Fetch
Web content fetching and conversion for efficient LLM usage.
AWS KB Retrieval
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
by modelcontextprotocolSpring AI MCP Server
Provides auto-configuration for setting up an MCP server in Spring Boot applications.
llm-analysis-assistant
A very streamlined mcp client that supports calling and monitoring stdio/sse/streamableHttp, and can also view request responses through the /logs page. It also
by xuzexin-hzCompare Haksnbot Memory with
Not sure what to pick?
Find your stack in 60 seconds
Author?
Embed badge for your README
Browse similar
All ai MCPs
