Install
$ agentstack add skill-d-o-hub-rust-self-learning-memory-do-memory-mcp ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
Memory MCP Server
Interacts with and troubleshoot the Memory Model Context Protocol (MCP) server for the self-learning memory system.
Quick Reference
- [Tools](tools.md) - Complete MCP tools reference (querymemory, analyzepatterns, etc.)
- [Configuration](configuration.md) - .mcp.json structure and environment variables
- [Validation](validation.md) - MCP Inspector validation workflow
- [Troubleshooting](troubleshooting.md) - Common issues and solutions
- [Best Practices](best-practices.md) - Tool usage, configuration, and testing guidelines
- [Token Optimization](token-optimization.md) - Reduce token usage by 80-85%
When to Use
- Starting or configuring the do-memory-mcp server
- Using MCP tools for memory retrieval and pattern analysis
- Validating the MCP server implementation
- Debugging MCP server issues
- Testing MCP tools using the MCP inspector
- Understanding MCP configuration and environment variables
MCP Server Overview
The do-memory-mcp server exposes episodic memory functionality through the Model Context Protocol:
- Query past experiences and learned patterns
- Analyze successful strategies from historical episodes
- Execute code in a secure sandbox environment
- Perform advanced statistical and predictive analysis
- Monitor server health and metrics
Location: ./target/release/do-memory-mcp-server Configuration: .mcp.json Transport: stdio (Standard Input/Output)
Available MCP Tools
| Tool | Purpose | |------|---------| | query_memory | Query episodic memory for relevant past experiences | | analyze_patterns | Analyze patterns from past episodes | | advanced_pattern_analysis | Statistical analysis, predictive modeling | | execute_agent_code | Execute TypeScript/JavaScript in sandbox | | health_check | Check server health status | | get_metrics | Get comprehensive monitoring metrics |
See [tools.md](tools.md) for detailed tool documentation and [best-practices.md](best-practices.md) for usage guidelines.
Starting the Server
# Build
cargo build --release --bin do-memory-mcp-server
# Run directly
export TURSO_DATABASE_URL="file:./data/memory.db"
./target/release/do-memory-mcp-server
# Run via MCP Inspector for testing
npx -y @modelcontextprotocol/inspector ./target/release/do-memory-mcp-server
See [configuration.md](configuration.md) for full environment setup and [validation.md](validation.md) for MCP Inspector workflow.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: d-o-hub
- Source: d-o-hub/rust-self-learning-memory
- License: MIT
- Homepage: https://d-o-hub.github.io/rust-self-learning-memory/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.